diff --git a/README.md b/README.md
index bc4d8f5a1..399e02478 100644
--- a/README.md
+++ b/README.md
@@ -33,6 +33,7 @@ Software Model Versions:
 Software        |       Version
 ---             |       ---
 OpenFAST        |       3.2.0
+ROSCO           |       2.6.0
 
 The core WEIS modules are:
  * _aeroelasticse_ is a wrapper to call [OpenFAST](https://github.com/OpenFAST/openfast)
diff --git a/ROSCO/.github/pull_request_template.md b/ROSCO/.github/pull_request_template.md
index c57c562d1..c809806c1 100644
--- a/ROSCO/.github/pull_request_template.md
+++ b/ROSCO/.github/pull_request_template.md
@@ -13,6 +13,16 @@ _Select the appropriate type(s) that describe this PR_
 - [ ] Maintenance update
 - [ ] Other (please describe)
 
+TODO Items General:
+- [ ] Add example/test for new feature
+- [ ] Update registry
+- [ ] Run testing
+
+TODO Items API Change:
+- [ ] Update docs with API change
+- [ ] Run update_rosco_discons.py in Test_Cases/
+- [ ] Update DISCON schema
+
 ## Github issues addressed, if one exists
 
 ## Examples/Testing, if applicable
diff --git a/ROSCO/.github/workflows/CI_rosco-pytools.yml b/ROSCO/.github/workflows/CI_rosco-pytools.yml
index 7ea773018..141c16ee9 100644
--- a/ROSCO/.github/workflows/CI_rosco-pytools.yml
+++ b/ROSCO/.github/workflows/CI_rosco-pytools.yml
@@ -92,34 +92,44 @@ jobs:
           python-version: 3.8
           environment-file: environment.yml
 
+      # setup cmake
+      - name: Setup Workspace
+        run: cmake -E make_directory ${{runner.workspace}}/ROSCO/ROSCO/build
 
       # Install dependencies of ROSCO toolbox
       - name: Add dependencies ubuntu specific
-        if: false == contains( matrix.os, 'windows')
-        run: |
-          conda install -y wisdem
-      - name: Add dependencies windows specific
-        if: true == contains( matrix.os, 'windows')
         run: |
-          conda install -y m2w64-toolchain libpython 
           conda install -y wisdem
+
       - name: Add pyFAST dependency
-        if: false == contains( matrix.os, 'windows')
         run: |
           git clone http://github.com/OpenFAST/python-toolbox
           cd python-toolbox
           python -m pip install -e .
         
+      # Install ZeroMQ
+      - name: Install ZeroMQ
+        run: sudo apt-get install libzmq3-dev
 
       # Install ROSCO toolbox
       - name: Install ROSCO toolbox
         run: |
-          python setup.py install --compile-rosco
+          python setup.py develop 
+
+      - name: Configure and Build ROSCO - unix
+        working-directory: ${{runner.workspace}}/ROSCO/ROSCO/build
+        run: |
+          cmake \
+            -DCMAKE_INSTALL_PREFIX:PATH=${{runner.workspace}}/ROSCO/ROSCO/install \
+            -DZMQ_CLIENT=ON \
+            -DCMAKE_Fortran_COMPILER:STRING=${{env.FORTRAN_COMPILER}} \
+            ..
+          cmake --build . --target install
           
       # Install OpenFAST
       - name: Install OpenFAST
         run: |
-          conda install openfast==3.1.0
+          conda install openfast==3.2.0
           
       # Run examples
       - name: Run examples
@@ -127,6 +137,21 @@ jobs:
           cd Examples
           python run_examples.py
 
+      # Test walkthrough notebook
+      - name: Test walkthrough notebook
+        run: |
+          cd Examples
+          treon ROSCO_walkthrough.ipynb
+
+      # Archive artifacts
+      - name: Archive production artifacts
+        if: success() || failure()
+        uses: actions/upload-artifact@v3
+        with:
+          name: ROSCO-artifacts
+          path: |
+            ${{runner.workspace}}
+            
   run_testing:
     name: Run Testing
     runs-on: ${{ matrix.os }}
@@ -156,8 +181,7 @@ jobs:
 
 
       # Install dependencies of ROSCO toolbox
-      - name: Add dependencies ubuntu specific
-        if: false == contains( matrix.os, 'windows')
+      - name: Add dependencies
         run: |
           conda install -y wisdem
         
@@ -165,12 +189,12 @@ jobs:
       # Install ROSCO toolbox
       - name: Install ROSCO toolbox
         run: |
-          python setup.py develop --compile-rosco
+          python setup.py install --compile-rosco
           
       # Install OpenFAST
       - name: Install OpenFAST
         run: |
-          conda install openfast==3.1.0
+          conda install openfast==3.2.0
 
       # Run ROSCO Testing
       - name: Run ROSCO testing
@@ -182,4 +206,4 @@ jobs:
       - name: Run regression testing
         run: |
           cd ROSCO_testing
-          python regtest.py
+          python test_checkpoint.py
diff --git a/ROSCO/.gitignore b/ROSCO/.gitignore
index 44e74d477..e633e4cdd 100644
--- a/ROSCO/.gitignore
+++ b/ROSCO/.gitignore
@@ -76,6 +76,7 @@ examples/cp_ct_cq_lut.p
 
 # Files Generated in Examples
 Examples/DISCON.IN
+Examples/DISCON_zmq.IN
 Examples/*.p
 
 # Exclude testing results
@@ -86,3 +87,6 @@ ROSCO_testing/results/
 *.autosave
 *.mat
 
+# OpenFAST outputs
+outputs/
+
diff --git a/ROSCO/Examples/ROSCO_walkthrough.ipynb b/ROSCO/Examples/ROSCO_walkthrough.ipynb
index 0cf1ad1a0..8f078be6d 100644
--- a/ROSCO/Examples/ROSCO_walkthrough.ipynb
+++ b/ROSCO/Examples/ROSCO_walkthrough.ipynb
@@ -22,17 +22,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 1,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
     }
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using ofTools in ROSCO_toolbox...\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/dzalkind/opt/anaconda3/envs/rosco-env/lib/python3.8/site-packages/openmdao/utils/general_utils.py:130: OMDeprecationWarning:simple_warning is deprecated. Use openmdao.utils.om_warnings.issue_warning instead.\n",
+      "/Users/dzalkind/opt/anaconda3/envs/rosco-env/lib/python3.8/site-packages/openmdao/utils/notebook_utils.py:171: UserWarning:Tabulate is not installed. Run `pip install openmdao[notebooks]` to install required dependencies. Using ASCII for outputs.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "WARNING: Be sure to pip install simpy and marmot-agents for offshore BOS runs\n"
+     ]
+    }
+   ],
    "source": [
     "# Load necessary modules\n",
     "# Python Modules\n",
-    "import yaml\n",
+    "import os, platform\n",
     "import matplotlib.pyplot as plt \n",
     "import pprint\n",
     "import numpy as np\n",
@@ -44,7 +67,10 @@
     "from ROSCO_toolbox import utilities as ROSCO_utilities\n",
     "from ROSCO_toolbox import controller as ROSCO_controller\n",
     "from ROSCO_toolbox import control_interface as ROSCO_ci\n",
-    "from ROSCO_toolbox.ofTools.fast_io.output_processing import output_processing\n"
+    "from ROSCO_toolbox.ofTools.fast_io.output_processing import output_processing\n",
+    "\n",
+    "from ROSCO_toolbox.inputs.validation import load_rosco_yaml\n",
+    "\n"
    ]
   },
   {
@@ -80,8 +106,8 @@
    "outputs": [],
    "source": [
     "# Load yaml file \n",
-    "parameter_filename = 'NREL5MW_example.yaml'\n",
-    "inps = yaml.safe_load(open(parameter_filename))\n",
+    "parameter_filename = '../Tune_Cases/NREL5MW.yaml'\n",
+    "inps = load_rosco_yaml(parameter_filename)\n",
     "path_params         = inps['path_params']\n",
     "turbine_params      = inps['turbine_params']\n",
     "controller_params   = inps['controller_params']"
@@ -100,16 +126,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "{'TSR_operational': None,\n",
+      "{'TSR_operational': 0,\n",
       " 'bld_edgewise_freq': 6.2831853,\n",
       " 'bld_flapwise_freq': 0.0,\n",
       " 'max_pitch_rate': 0.1745,\n",
       " 'max_torque_rate': 1500000.0,\n",
-      " 'ptfm_freq': 0.2325,\n",
       " 'rated_power': 5000000.0,\n",
       " 'rated_rotor_speed': 1.26711,\n",
       " 'rotor_inertia': 38677040.613,\n",
-      " 'twr_freq': 0.4499,\n",
       " 'v_max': 25.0,\n",
       " 'v_min': 3.0,\n",
       " 'v_rated': 11.4}\n"
@@ -169,7 +193,7 @@
       "Loading wind turbine data for NREL's ROSCO tuning and simulation processeses\n",
       "-----------------------------------------------------------------------------\n",
       "Loading FAST model: NREL-5MW.fst \n",
-      "Loading rotor performace data from text file: /Users/dzalkind/Tools/ROSCO_toolbox/Test_Cases/NREL-5MW/Cp_Ct_Cq.NREL5MW.txt\n",
+      "Loading rotor performace data from text file: /Users/dzalkind/Tools/ROSCO/Test_Cases/NREL-5MW/Cp_Ct_Cq.NREL5MW.txt\n",
       "Loading rotor performace data from text file: Cp_Ct_Cq.NREL5MW.txt\n"
      ]
     }
@@ -193,7 +217,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -210,14 +234,14 @@
       "Total Inertia: 43702538.1 [kg m^2]\n",
       "Rotor Radius: 63.0 [m]\n",
       "Rated Rotor Speed: 1.3 [rad/s]\n",
-      "Max Cp: 0.48\n",
+      "Max Cp: 0.47\n",
       "------------------------------------------\n",
       " \n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -249,7 +273,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -287,7 +311,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -296,7 +320,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -310,12 +334,13 @@
    "source": [
     "# Plot gain schedule\n",
     "fig, axs = plt.subplots(1, 2, sharey=True)\n",
-    "axs[0].plot(controller.v[len(controller.vs_gain_schedule.Kp):], controller.pc_gain_schedule.Kp)\n",
+    "axs[0].plot(controller.v[len(controller.v_below_rated)+1:], controller.pc_gain_schedule.Kp)\n",
     "axs[0].set_xlabel('Wind Speed')\n",
     "axs[0].set_ylabel('Proportional Gain')\n",
     "axs[0].grid('True')\n",
     "\n",
-    "axs[1].plot(controller.v[len(controller.vs_gain_schedule.Ki):], controller.pc_gain_schedule.Ki)\n",
+    "\n",
+    "axs[1].plot(controller.v[len(controller.v_below_rated)+1:], controller.pc_gain_schedule.Ki)\n",
     "axs[1].set_xlabel('Wind Speed')\n",
     "axs[1].set_ylabel('Integral Gain')\n",
     "axs[1].grid('True')\n"
@@ -323,7 +348,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {
     "slideshow": {
      "slide_type": "slide"
@@ -361,7 +386,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -379,7 +404,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -421,7 +446,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 10,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -432,14 +457,121 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Running simulation for NREL-5MW wind turbine.\n"
+      "                                                                               \n",
+      "------------------------------------------------------------------------------\n",
+      "Running ROSCO-v2.5.0\n",
+      "A wind turbine controller framework for public use in the scientific field    \n",
+      "Developed in collaboration: National Renewable Energy Laboratory              \n",
+      "                            Delft University of Technology, The Netherlands   \n",
+      "------------------------------------------------------------------------------\n",
+      "Generator speed:    9.5 RPM, Pitch angle:   0.0 deg, Power:     0.0 kW, Est. wind Speed:  10.0 m/s\n",
+      "Generator speed:  673.4 RPM, Pitch angle:   0.1 deg, Power:   340.7 kW, Est. wind Speed:   4.6 m/s\n",
+      "Generator speed:  751.3 RPM, Pitch angle:   0.1 deg, Power:   853.4 kW, Est. wind Speed:   7.1 m/s\n",
+      "Generator speed:  800.7 RPM, Pitch angle:   0.1 deg, Power:  1072.2 kW, Est. wind Speed:   6.8 m/s\n",
+      "Generator speed:  781.4 RPM, Pitch angle:   0.1 deg, Power:  1190.5 kW, Est. wind Speed:   6.8 m/s\n",
+      "Generator speed:  765.6 RPM, Pitch angle:   0.1 deg, Power:  1094.1 kW, Est. wind Speed:   6.9 m/s\n",
+      "Generator speed:  767.7 RPM, Pitch angle:   0.1 deg, Power:  1073.3 kW, Est. wind Speed:   6.9 m/s\n",
+      "Generator speed:  770.1 RPM, Pitch angle:   0.1 deg, Power:  1084.5 kW, Est. wind Speed:   6.9 m/s\n",
+      "Generator speed:  770.2 RPM, Pitch angle:   0.1 deg, Power:  1088.2 kW, Est. wind Speed:   6.9 m/s\n",
+      "Generator speed:  770.1 RPM, Pitch angle:   0.1 deg, Power:  1087.4 kW, Est. wind Speed:   6.9 m/s\n",
+      "Generator speed:  770.2 RPM, Pitch angle:   0.1 deg, Power:  1088.7 kW, Est. wind Speed:   6.9 m/s\n",
+      "Generator speed:  838.4 RPM, Pitch angle:   0.1 deg, Power:  1408.9 kW, Est. wind Speed:   7.8 m/s\n",
+      "Generator speed:  882.6 RPM, Pitch angle:   0.1 deg, Power:  1542.6 kW, Est. wind Speed:   7.8 m/s\n",
+      "Generator speed:  882.8 RPM, Pitch angle:   0.1 deg, Power:  1674.7 kW, Est. wind Speed:   7.8 m/s\n",
+      "Generator speed:  873.5 RPM, Pitch angle:   0.1 deg, Power:  1638.1 kW, Est. wind Speed:   7.8 m/s\n",
+      "Generator speed:  872.7 RPM, Pitch angle:   0.1 deg, Power:  1616.3 kW, Est. wind Speed:   7.8 m/s\n",
+      "Generator speed:  874.2 RPM, Pitch angle:   0.1 deg, Power:  1617.5 kW, Est. wind Speed:   7.8 m/s\n",
+      "Generator speed:  875.0 RPM, Pitch angle:   0.1 deg, Power:  1620.4 kW, Est. wind Speed:   7.8 m/s\n",
+      "Generator speed:  875.4 RPM, Pitch angle:   0.1 deg, Power:  1621.0 kW, Est. wind Speed:   7.8 m/s\n",
+      "Generator speed:  875.8 RPM, Pitch angle:   0.1 deg, Power:  1620.9 kW, Est. wind Speed:   7.8 m/s\n",
+      "Generator speed:  876.3 RPM, Pitch angle:   0.1 deg, Power:  1623.7 kW, Est. wind Speed:   7.8 m/s\n",
+      "Generator speed:  953.2 RPM, Pitch angle:   0.1 deg, Power:  2054.2 kW, Est. wind Speed:   8.8 m/s\n",
+      "Generator speed:  992.5 RPM, Pitch angle:   0.1 deg, Power:  2266.6 kW, Est. wind Speed:   8.7 m/s\n",
+      "Generator speed:  987.9 RPM, Pitch angle:   0.1 deg, Power:  2362.9 kW, Est. wind Speed:   8.7 m/s\n",
+      "Generator speed:  980.6 RPM, Pitch angle:   0.1 deg, Power:  2320.8 kW, Est. wind Speed:   8.7 m/s\n",
+      "Generator speed:  980.3 RPM, Pitch angle:   0.1 deg, Power:  2302.8 kW, Est. wind Speed:   8.7 m/s\n",
+      "Generator speed:  981.8 RPM, Pitch angle:   0.1 deg, Power:  2304.0 kW, Est. wind Speed:   8.7 m/s\n",
+      "Generator speed:  982.7 RPM, Pitch angle:   0.1 deg, Power:  2306.8 kW, Est. wind Speed:   8.8 m/s\n",
+      "Generator speed:  983.3 RPM, Pitch angle:   0.1 deg, Power:  2307.5 kW, Est. wind Speed:   8.8 m/s\n",
+      "Generator speed:  983.8 RPM, Pitch angle:   0.1 deg, Power:  2307.5 kW, Est. wind Speed:   8.8 m/s\n",
+      "Generator speed:  984.4 RPM, Pitch angle:   0.1 deg, Power:  2311.6 kW, Est. wind Speed:   8.8 m/s\n",
+      "Generator speed: 1069.7 RPM, Pitch angle:   0.1 deg, Power:  2876.5 kW, Est. wind Speed:   9.7 m/s\n",
+      "Generator speed: 1102.9 RPM, Pitch angle:   0.1 deg, Power:  3163.7 kW, Est. wind Speed:   9.7 m/s\n",
+      "Generator speed: 1095.1 RPM, Pitch angle:   0.1 deg, Power:  3221.5 kW, Est. wind Speed:   9.7 m/s\n",
+      "Generator speed: 1088.9 RPM, Pitch angle:   0.1 deg, Power:  3176.5 kW, Est. wind Speed:   9.7 m/s\n",
+      "Generator speed: 1089.1 RPM, Pitch angle:   0.1 deg, Power:  3160.3 kW, Est. wind Speed:   9.7 m/s\n",
+      "Generator speed: 1090.5 RPM, Pitch angle:   0.1 deg, Power:  3162.0 kW, Est. wind Speed:   9.7 m/s\n",
+      "Generator speed: 1091.5 RPM, Pitch angle:   0.1 deg, Power:  3164.7 kW, Est. wind Speed:   9.7 m/s\n",
+      "Generator speed: 1092.1 RPM, Pitch angle:   0.1 deg, Power:  3165.4 kW, Est. wind Speed:   9.7 m/s\n",
+      "Generator speed: 1092.7 RPM, Pitch angle:   0.1 deg, Power:  3165.5 kW, Est. wind Speed:   9.7 m/s\n",
+      "Generator speed: 1093.4 RPM, Pitch angle:   0.1 deg, Power:  3171.1 kW, Est. wind Speed:   9.7 m/s\n",
+      "Generator speed: 1183.2 RPM, Pitch angle:   2.4 deg, Power:  4016.0 kW, Est. wind Speed:  10.7 m/s\n",
+      "Generator speed: 1175.0 RPM, Pitch angle:   1.6 deg, Power:  4018.1 kW, Est. wind Speed:  10.6 m/s\n",
+      "Generator speed: 1172.9 RPM, Pitch angle:   1.5 deg, Power:  4066.9 kW, Est. wind Speed:  10.6 m/s\n",
+      "Generator speed: 1173.1 RPM, Pitch angle:   1.5 deg, Power:  4089.5 kW, Est. wind Speed:  10.7 m/s\n",
+      "Generator speed: 1173.6 RPM, Pitch angle:   1.5 deg, Power:  4104.5 kW, Est. wind Speed:  10.7 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   1.6 deg, Power:  4097.0 kW, Est. wind Speed:  10.7 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   1.6 deg, Power:  4096.7 kW, Est. wind Speed:  10.7 m/s\n",
+      "Generator speed: 1173.6 RPM, Pitch angle:   1.6 deg, Power:  4095.1 kW, Est. wind Speed:  10.7 m/s\n",
+      "Generator speed: 1173.6 RPM, Pitch angle:   1.6 deg, Power:  4093.6 kW, Est. wind Speed:  10.7 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   1.6 deg, Power:  4099.1 kW, Est. wind Speed:  10.7 m/s\n",
+      "Generator speed: 1174.1 RPM, Pitch angle:   2.6 deg, Power:  4772.0 kW, Est. wind Speed:  11.6 m/s\n",
+      "Generator speed: 1174.7 RPM, Pitch angle:   3.1 deg, Power:  4862.6 kW, Est. wind Speed:  11.6 m/s\n",
+      "Generator speed: 1174.0 RPM, Pitch angle:   3.1 deg, Power:  4886.5 kW, Est. wind Speed:  11.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   3.0 deg, Power:  4885.5 kW, Est. wind Speed:  11.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   3.0 deg, Power:  4882.0 kW, Est. wind Speed:  11.6 m/s\n",
+      "Generator speed: 1173.5 RPM, Pitch angle:   3.0 deg, Power:  4879.1 kW, Est. wind Speed:  11.6 m/s\n",
+      "Generator speed: 1173.5 RPM, Pitch angle:   3.0 deg, Power:  4875.4 kW, Est. wind Speed:  11.6 m/s\n",
+      "Generator speed: 1173.5 RPM, Pitch angle:   3.1 deg, Power:  4872.5 kW, Est. wind Speed:  11.6 m/s\n",
+      "Generator speed: 1173.5 RPM, Pitch angle:   3.1 deg, Power:  4870.1 kW, Est. wind Speed:  11.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   3.1 deg, Power:  4876.1 kW, Est. wind Speed:  11.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   5.9 deg, Power:  5001.4 kW, Est. wind Speed:  12.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   5.9 deg, Power:  5000.0 kW, Est. wind Speed:  12.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   5.9 deg, Power:  5000.0 kW, Est. wind Speed:  12.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   5.9 deg, Power:  5000.0 kW, Est. wind Speed:  12.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   5.9 deg, Power:  5000.0 kW, Est. wind Speed:  12.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   5.9 deg, Power:  5000.0 kW, Est. wind Speed:  12.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   5.9 deg, Power:  5000.0 kW, Est. wind Speed:  12.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   5.9 deg, Power:  5000.0 kW, Est. wind Speed:  12.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   5.9 deg, Power:  5000.0 kW, Est. wind Speed:  12.6 m/s\n",
+      "Generator speed: 1173.8 RPM, Pitch angle:   5.9 deg, Power:  5008.7 kW, Est. wind Speed:  12.6 m/s\n",
+      "Generator speed: 1173.9 RPM, Pitch angle:   8.1 deg, Power:  5000.9 kW, Est. wind Speed:  13.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   8.1 deg, Power:  5000.0 kW, Est. wind Speed:  13.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   8.1 deg, Power:  5000.0 kW, Est. wind Speed:  13.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   8.1 deg, Power:  5000.0 kW, Est. wind Speed:  13.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   8.1 deg, Power:  5000.0 kW, Est. wind Speed:  13.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   8.1 deg, Power:  5000.0 kW, Est. wind Speed:  13.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   8.1 deg, Power:  5000.0 kW, Est. wind Speed:  13.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   8.1 deg, Power:  5000.0 kW, Est. wind Speed:  13.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:   8.1 deg, Power:  5000.0 kW, Est. wind Speed:  13.6 m/s\n",
+      "Generator speed: 1173.9 RPM, Pitch angle:   8.1 deg, Power:  5009.0 kW, Est. wind Speed:  13.7 m/s\n",
+      "Generator speed: 1173.9 RPM, Pitch angle:  10.0 deg, Power:  5001.1 kW, Est. wind Speed:  14.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  10.0 deg, Power:  5000.0 kW, Est. wind Speed:  14.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  10.0 deg, Power:  5000.0 kW, Est. wind Speed:  14.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  10.0 deg, Power:  5000.0 kW, Est. wind Speed:  14.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  10.0 deg, Power:  5000.0 kW, Est. wind Speed:  14.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  10.0 deg, Power:  5000.0 kW, Est. wind Speed:  14.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  10.0 deg, Power:  5000.0 kW, Est. wind Speed:  14.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  10.0 deg, Power:  5000.0 kW, Est. wind Speed:  14.7 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  10.0 deg, Power:  5000.0 kW, Est. wind Speed:  14.7 m/s\n",
+      "Generator speed: 1173.9 RPM, Pitch angle:  10.0 deg, Power:  5009.4 kW, Est. wind Speed:  14.7 m/s\n",
+      "Generator speed: 1173.8 RPM, Pitch angle:  11.6 deg, Power:  5001.6 kW, Est. wind Speed:  15.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  11.6 deg, Power:  5000.0 kW, Est. wind Speed:  15.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  11.6 deg, Power:  5000.0 kW, Est. wind Speed:  15.6 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  11.6 deg, Power:  5000.0 kW, Est. wind Speed:  15.7 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  11.6 deg, Power:  5000.0 kW, Est. wind Speed:  15.7 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  11.6 deg, Power:  5000.0 kW, Est. wind Speed:  15.7 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  11.6 deg, Power:  5000.0 kW, Est. wind Speed:  15.7 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  11.6 deg, Power:  5000.0 kW, Est. wind Speed:  15.7 m/s\n",
+      "Generator speed: 1173.7 RPM, Pitch angle:  11.6 deg, Power:  5000.0 kW, Est. wind Speed:  15.7 m/s\n",
+      "Shutting down ../ROSCO/build/libdiscon.dylib\n"
      ]
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<Figure size 432x720 with 4 Axes>"
+       "<Figure size 432x720 with 5 Axes>"
       ]
      },
      "metadata": {
@@ -450,7 +582,15 @@
    ],
    "source": [
     "# Specify controller dynamic library path and name\n",
-    "lib_name = ('../ROSCO/build/libdiscon.dylib')\n",
+    "\n",
+    "if platform.system() == 'Windows':\n",
+    "    ext = 'dll'\n",
+    "elif platform.system() == 'Darwin':\n",
+    "    ext = 'dylib'\n",
+    "else:\n",
+    "    ext = 'so'\n",
+    "                \n",
+    "lib_name = (f'../ROSCO/build/libdiscon.{ext}')\n",
     "\n",
     "# Load the simulator and controller interface\n",
     "controller_int = ROSCO_ci.ControllerInterface(lib_name)\n",
@@ -501,7 +641,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 11,
    "metadata": {
     "slideshow": {
      "slide_type": "subslide"
@@ -509,26 +649,55 @@
    },
    "outputs": [
     {
-     "ename": "AssertionError",
-     "evalue": "File, ../Test_Cases/5MW_Step/5MW_Step.outb, does not exists",
-     "output_type": "error",
-     "traceback": [
-      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
-      "\u001b[0;31mAssertionError\u001b[0m                            Traceback (most recent call last)",
-      "\u001b[0;32m<ipython-input-29-2fcf7adf5be8>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m()\u001b[0m\n\u001b[1;32m      5\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      6\u001b[0m \u001b[0;31m# Load output info and data\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 7\u001b[0;31m \u001b[0mallinfo\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0malldata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mop\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mload_fast_out\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilenames\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      9\u001b[0m \u001b[0;31m#  Define Plot cases\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;32m/Users/dzalkind/Tools/ROSCO_toolbox/ofTools/fast_io/output_processing.py\u001b[0m in \u001b[0;36mload_fast_out\u001b[0;34m(self, filenames, tmin, tmax, verbose)\u001b[0m\n\u001b[1;32m     69\u001b[0m             \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfastout\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;34m[\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     70\u001b[0m         \u001b[0;32mfor\u001b[0m \u001b[0mi\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mfilename\u001b[0m \u001b[0;32min\u001b[0m \u001b[0menumerate\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilenames\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m---> 71\u001b[0;31m             \u001b[0;32massert\u001b[0m \u001b[0mos\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpath\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0misfile\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m\"File, %s, does not exists\"\u001b[0m \u001b[0;34m%\u001b[0m \u001b[0mfilename\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m     72\u001b[0m             \u001b[0;32mwith\u001b[0m \u001b[0mopen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mfilename\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'r'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m     73\u001b[0m                 \u001b[0;32mif\u001b[0m \u001b[0mverbose\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
-      "\u001b[0;31mAssertionError\u001b[0m: File, ../Test_Cases/5MW_Step/5MW_Step.outb, does not exists"
-     ]
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 4 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 3 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "([<Figure size 432x288 with 4 Axes>, <Figure size 432x288 with 3 Axes>],\n",
+       " [array([<AxesSubplot:title={'center':'Baseline'}, ylabel='Wind1VelX \\n (m/s)'>,\n",
+       "         <AxesSubplot:ylabel='BldPitch1 \\n (deg)'>,\n",
+       "         <AxesSubplot:ylabel='GenTq \\n (kN-m)'>,\n",
+       "         <AxesSubplot:ylabel='RotSpeed \\n (rpm)'>], dtype=object),\n",
+       "  array([<AxesSubplot:title={'center':'Rotor Performance'}, ylabel='RtVAvgxh \\n (m/s)'>,\n",
+       "         <AxesSubplot:ylabel='RtTSR \\n (-)'>,\n",
+       "         <AxesSubplot:ylabel='RtAeroCp \\n (-)'>], dtype=object)])"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
     }
    ],
    "source": [
     "op = output_processing()\n",
     "\n",
-    "# Define openfast output filenames\n",
-    "filenames = [\"../Test_Cases/5MW_Step/5MW_Step.outb\"]\n",
-    "\n",
+    "# Define openfast output filenames, please fill in your own .outb\n",
+    "# filenames = [\"../Test_Cases/5MW_Step/5MW_Step.outb\"]\n",
+    "filenames = ['../Test_Cases/IEA-15-240-RWT-UMaineSemi/IEA-15-240-RWT-UMaineSemi.outb']\n",
     "# Load output info and data\n",
-    "allinfo, alldata = op.load_fast_out(filenames)\n",
+    "fast_out = op.load_fast_out(filenames)\n",
     "\n",
     "#  Define Plot cases \n",
     "cases = {}\n",
@@ -536,7 +705,7 @@
     "cases['Rotor Performance'] = ['RtVAvgxh', 'RtTSR', 'RtAeroCp']\n",
     "\n",
     "# Plot, woohoo!\n",
-    "fast_io.plot_fast_out(cases, allinfo, alldata)"
+    "op.plot_fast_out(fast_out, cases)"
    ]
   },
   {
@@ -559,47 +728,22 @@
      "slide_type": "subslide"
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 4 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 3 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
-    "# Define openfast output filenames\n",
-    "filenames = [\"../Test_Cases/5MW_Turb_NR/5MW_Turb_NR.out\", # Note that we can load txt or binary outputs\n",
-    "             \"../Test_Cases/5MW_Turb_NR_ps/5MW_Turb_NR_ps.outb\"]\n",
+    "# # Define openfast output filenames\n",
+    "# filenames = [\"../Test_Cases/5MW_Turb_NR/5MW_Turb_NR.out\", # Note that we can load txt or binary outputs\n",
+    "#              \"../Test_Cases/5MW_Turb_NR_ps/5MW_Turb_NR_ps.outb\"]\n",
     "\n",
-    "# Load output info and data\n",
-    "allinfo, alldata = fast_io.load_output(filenames)\n",
+    "# # Load output info and data\n",
+    "# fast_out = op.load_fast_out(filenames)\n",
     "\n",
-    "#  Define Plot cases \n",
-    "cases = {}\n",
-    "cases['Baseline'] = ['Wind1VelX', 'BldPitch1', 'GenTq', 'RotSpeed']\n",
-    "cases['Peak Shaving'] = ['Wind1VelX', 'BldPitch1', 'TwrBsMyt']\n",
+    "# #  Define Plot cases \n",
+    "# cases = {}\n",
+    "# cases['Baseline'] = ['Wind1VelX', 'BldPitch1', 'GenTq', 'RotSpeed']\n",
+    "# cases['Peak Shaving'] = ['Wind1VelX', 'BldPitch1', 'TwrBsMyt']\n",
     "\n",
-    "# Plot, woohoo!\n",
-    "fast_io.plot_fast_out(cases, allinfo, alldata)"
+    "# # Plot, woohoo!\n",
+    "# op.plot_fast_out(fast_out, cases)"
    ]
   },
   {
@@ -629,9 +773,9 @@
  "metadata": {
   "celltoolbar": "Slideshow",
   "kernelspec": {
-   "display_name": "test-env",
+   "display_name": "rosco-env",
    "language": "python",
-   "name": "test-env"
+   "name": "rosco-env"
   },
   "language_info": {
    "codemirror_mode": {
@@ -643,9 +787,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.8"
+   "version": "3.8.13"
   }
  },
  "nbformat": 4,
  "nbformat_minor": 4
-}
\ No newline at end of file
+}
diff --git a/ROSCO/Examples/example_01.py b/ROSCO/Examples/example_01.py
index 6c4c3e398..14cf3bbd4 100644
--- a/ROSCO/Examples/example_01.py
+++ b/ROSCO/Examples/example_01.py
@@ -34,7 +34,7 @@
     path_params['FAST_InputFile'],
     os.path.join(tune_dir,path_params['FAST_directory']),
     dev_branch=True,
-    rot_source='txt',txt_filename=os.path.join(tune_dir,path_params['rotor_performance_filename'])
+    rot_source='txt',txt_filename=os.path.join(tune_dir,path_params['FAST_directory'],path_params['rotor_performance_filename'])
     )
 
 # Print some basic turbine info
diff --git a/ROSCO/Examples/example_04.py b/ROSCO/Examples/example_04.py
index 229c176b9..69da8392a 100644
--- a/ROSCO/Examples/example_04.py
+++ b/ROSCO/Examples/example_04.py
@@ -34,11 +34,12 @@
 controller      = ROSCO_controller.Controller(controller_params)
 
 # Load turbine data from OpenFAST and rotor performance text file
+cp_filename = os.path.join(tune_dir,path_params['FAST_directory'],path_params['rotor_performance_filename'])
 turbine.load_from_fast(
     path_params['FAST_InputFile'],
     os.path.join(tune_dir,path_params['FAST_directory']),
     dev_branch=True,
-    rot_source='txt',txt_filename=os.path.join(tune_dir,path_params['rotor_performance_filename'])
+    rot_source='txt',txt_filename= cp_filename
     )
 
 # Tune controller 
@@ -46,7 +47,10 @@
 
 # Write parameter input file
 param_file = os.path.join(this_dir,'DISCON.IN')
-write_DISCON(turbine,controller,param_file=param_file, txt_filename=os.path.join(tune_dir,path_params['rotor_performance_filename']))
+write_DISCON(turbine,controller,
+param_file=param_file, 
+txt_filename=cp_filename
+)
 
 # Plot gain schedule
 fig, ax = plt.subplots(2,2,constrained_layout=True,sharex=True)
diff --git a/ROSCO/Examples/example_05.py b/ROSCO/Examples/example_05.py
index deb50bd05..9555aeb30 100644
--- a/ROSCO/Examples/example_05.py
+++ b/ROSCO/Examples/example_05.py
@@ -55,11 +55,12 @@
 # controller      = ROSCO_controller.Controller(controller_params)
 
 # Load turbine data from OpenFAST and rotor performance text file
+cp_filename = os.path.join(tune_dir,path_params['FAST_directory'],path_params['rotor_performance_filename'])
 turbine.load_from_fast(
     path_params['FAST_InputFile'],
     os.path.join(tune_dir,path_params['FAST_directory']),
     dev_branch=True,
-    rot_source='txt',txt_filename=os.path.join(tune_dir,path_params['rotor_performance_filename'])
+    rot_source='txt',txt_filename=cp_filename
     )
 
 # Tune controller 
@@ -68,7 +69,11 @@
 
 # Write parameter input file
 param_filename = os.path.join(this_dir,'DISCON.IN')
-write_DISCON(turbine,controller,param_file=param_filename, txt_filename=os.path.join(tune_dir,path_params['rotor_performance_filename']))
+write_DISCON(
+  turbine,controller,
+  param_file=param_filename, 
+  txt_filename=cp_filename
+  )
 
 
 # Load controller library
diff --git a/ROSCO/Examples/example_07.py b/ROSCO/Examples/example_07.py
index 4626e7945..3fc16f859 100644
--- a/ROSCO/Examples/example_07.py
+++ b/ROSCO/Examples/example_07.py
@@ -45,7 +45,7 @@
     path_params['FAST_InputFile'],
     os.path.join(tune_dir,path_params['FAST_directory']),
     dev_branch=True,
-    rot_source='txt',txt_filename=os.path.join(tune_dir,path_params['rotor_performance_filename'])
+    rot_source='txt',txt_filename=os.path.join(tune_dir,path_params['FAST_directory'],path_params['rotor_performance_filename'])
     )
 # Tune controller 
 controller.tune_controller(turbine)
diff --git a/ROSCO/Examples/example_10.py b/ROSCO/Examples/example_10.py
index c710711fc..7a7b06937 100644
--- a/ROSCO/Examples/example_10.py
+++ b/ROSCO/Examples/example_10.py
@@ -34,7 +34,6 @@
 
 # Load turbine data from openfast model
 turbine = ROSCO_turbine.Turbine(turbine_params)
-# turbine.load_from_fast(path_params['FAST_InputFile'],path_params['FAST_directory'],dev_branch=True,rot_source='txt',txt_filename=path_params['rotor_performance_filename'])
 turbine.load_from_fast(path_params['FAST_InputFile'], \
     os.path.join(this_dir,path_params['FAST_directory']),dev_branch=True)
 
diff --git a/ROSCO/Examples/example_11.py b/ROSCO/Examples/example_11.py
index f8a9b199d..6b1e96801 100644
--- a/ROSCO/Examples/example_11.py
+++ b/ROSCO/Examples/example_11.py
@@ -46,7 +46,7 @@
   os.path.join(this_dir,path_params['FAST_directory']),
   dev_branch=True,
   rot_source='txt',
-  txt_filename=os.path.join(tune_dir,path_params['rotor_performance_filename'])
+  txt_filename=os.path.join(tune_dir,path_params['FAST_directory'],path_params['rotor_performance_filename'])
   )
 
 # Tune controller 
diff --git a/ROSCO/Examples/example_12.py b/ROSCO/Examples/example_12.py
index 4f421af6c..9d8c593d9 100644
--- a/ROSCO/Examples/example_12.py
+++ b/ROSCO/Examples/example_12.py
@@ -17,7 +17,8 @@
 import numpy as np
 import matplotlib.pyplot as plt
 from ROSCO_toolbox.inputs.validation import load_rosco_yaml
-from ROSCO_toolbox.linear.robust_scheduling import rsched_driver
+from ROSCO_toolbox.linear.robust_scheduling import rsched_driver, load_linturb
+from ROSCO_toolbox.linear.lin_vis import lin_plotting
 from ROSCO_toolbox import turbine as ROSCO_turbine
 from ROSCO_toolbox import controller as ROSCO_controller
 
@@ -123,6 +124,28 @@ def run_example():
     if False:
         plt.show()
     else:
-        plt.savefig(os.path.join(example_out_dir, '12_RobustSched.png'))
+        fig.savefig(os.path.join(example_out_dir, '12_RobustSched.png'))
+
+    # ---- Plot nyquist ----
+    # Re-load and trimlinturb for plotting
+    linturb = load_linturb(options['linturb_options']['linfile_path'], load_parallel=True) # 
+    linturb.trim_system(desInputs=['collective'], desOutputs=['RtSpeed'])
+
+    # Plotting parameters
+    u = 12
+    omega = 0.1
+    k_float = 0.0
+    controller.zeta_pc = controller.zeta_pc[0]
+
+    # plot
+    lv = lin_plotting(controller, turbine, linturb)
+    xlim=ylim=[-2,2]
+    lv.plot_nyquist(u, omega, k_float=k_float, xlim=xlim, ylim=ylim)
+
+    if False:
+        plt.show()
+    else:
+        plt.savefig(os.path.join(example_out_dir, '12_Nyquist.png'))
+
 if __name__ == '__main__':
     run_example()
diff --git a/ROSCO/Examples/example_13.py b/ROSCO/Examples/example_13.py
index 9b0b7acd4..b326491d3 100644
--- a/ROSCO/Examples/example_13.py
+++ b/ROSCO/Examples/example_13.py
@@ -10,8 +10,7 @@
 
 '''
 # Python Modules
-import yaml, os, platform
-import numpy as np
+import os, platform
 import matplotlib.pyplot as plt
 
 # ROSCO toolbox modules 
@@ -85,7 +84,7 @@
 channels['BldPitch3'] = True
 
 # Run FAST cases
-fastBatch                   = runFAST_pywrapper_batch(FAST_ver='OpenFAST',dev_branch = True)
+fastBatch                   = runFAST_pywrapper_batch()
 
 fastBatch.FAST_directory    = os.path.realpath(os.path.join(rosco_dir,'Tune_Cases',path_params['FAST_directory']))
 fastBatch.FAST_InputFile    = path_params['FAST_InputFile']        
diff --git a/ROSCO/Examples/example_14.py b/ROSCO/Examples/example_14.py
index f91d4de5f..2b14f2495 100644
--- a/ROSCO/Examples/example_14.py
+++ b/ROSCO/Examples/example_14.py
@@ -122,7 +122,7 @@
 channels = set_channels()
 
 # Run FAST cases
-fastBatch                   = runFAST_pywrapper_batch(FAST_ver='OpenFAST',dev_branch = True)
+fastBatch                   = runFAST_pywrapper_batch()
 
 fastBatch.FAST_directory    = os.path.realpath(os.path.join(rosco_dir,'Tune_Cases',path_params['FAST_directory']))
 fastBatch.FAST_InputFile    = path_params['FAST_InputFile']        
diff --git a/ROSCO/Examples/example_15.py b/ROSCO/Examples/example_15.py
new file mode 100644
index 000000000..baa29c8af
--- /dev/null
+++ b/ROSCO/Examples/example_15.py
@@ -0,0 +1,45 @@
+'''
+----------- Example_15 --------------
+Use the runFAST scripts to set up an example, use pass through in yaml
+-------------------------------------
+
+In this example:
+    - use run_FAST_ROSCO class to set up a test case
+
+'''
+
+import os
+from ROSCO_toolbox.ofTools.case_gen.run_FAST import run_FAST_ROSCO
+from ROSCO_toolbox.ofTools.case_gen import CaseLibrary as cl
+
+
+#directories
+this_dir            = os.path.dirname(os.path.abspath(__file__))
+rosco_dir         = os.path.dirname(this_dir)
+example_out_dir     = os.path.join(this_dir,'examples_out')
+os.makedirs(example_out_dir,exist_ok=True)
+
+
+def main():
+     # Simulation config    
+    r = run_FAST_ROSCO()
+
+    parameter_filename = os.path.join(rosco_dir,'Tune_Cases/NREL5MW_PassThrough.yaml')
+    run_dir = os.path.join(example_out_dir,'15_PassThrough')
+    os.makedirs(run_dir,exist_ok=True)
+
+    # Step wind simulation
+    r.tuning_yaml   = parameter_filename
+    r.wind_case_fcn = cl.simp_step
+    r.wind_case_opts    = {
+        'U_start': [10],
+        'U_end': [15],
+        'wind_dir': run_dir
+        }
+    r.save_dir      = run_dir
+
+    r.run_FAST()
+
+
+if __name__=="__main__":
+    main()
\ No newline at end of file
diff --git a/ROSCO/Examples/example_16.py b/ROSCO/Examples/example_16.py
new file mode 100644
index 000000000..96268013a
--- /dev/null
+++ b/ROSCO/Examples/example_16.py
@@ -0,0 +1,67 @@
+'''
+----------- Example_16 --------------
+Run openfast with ROSCO and external control interface
+-------------------------------------
+
+IEA-15MW will call NREL-5MW controller and read control inputs
+
+'''
+
+import os, platform
+from ROSCO_toolbox.ofTools.case_gen.run_FAST import run_FAST_ROSCO
+from ROSCO_toolbox.ofTools.case_gen import CaseLibrary as cl
+import shutil
+
+
+#directories
+this_dir            = os.path.dirname(os.path.abspath(__file__))
+rosco_dir           = os.path.dirname(this_dir)
+example_out_dir     = os.path.join(this_dir,'examples_out')
+os.makedirs(example_out_dir,exist_ok=True)
+
+if platform.system() == 'Windows':
+    lib_name = os.path.realpath(os.path.join(this_dir, '../ROSCO/build/libdiscon.dll'))
+elif platform.system() == 'Darwin':
+    lib_name = os.path.realpath(os.path.join(this_dir, '../ROSCO/build/libdiscon.dylib'))
+else:
+    lib_name = os.path.realpath(os.path.join(this_dir, '../ROSCO/build/libdiscon.so'))
+
+
+def main():
+    
+    # Make copy of libdiscon
+    ext = lib_name.split('.')[-1]
+    copy_lib = os.path.join(os.path.split(lib_name)[0],f"libdiscon_copy.{ext}")
+    shutil.copyfile(lib_name, copy_lib)
+
+
+    # Ensure external control paths are okay
+    parameter_filename = os.path.join(rosco_dir,'Tune_Cases/IEA15MW_ExtInterface.yaml')
+    run_dir = os.path.join(example_out_dir,'16_ExtInterface')
+    os.makedirs(run_dir,exist_ok=True)
+
+    # Set DLL file and DISCON input dynamically (hard-coded in yaml)
+    controller_params = {}
+    controller_params['DISCON'] = {}
+    controller_params['OL_Mode'] = 2
+    controller_params['DISCON']['DLL_FileName'] =  copy_lib
+    controller_params['DISCON']['DLL_InFile'] =    os.path.join(rosco_dir,'Test_Cases/NREL-5MW/DISCON.IN')
+    controller_params['DISCON']['DLL_ProcName'] =  'DISCON'
+
+    # RAAW FAD set up
+    r = run_FAST_ROSCO()
+    r.tuning_yaml   = parameter_filename
+    r.wind_case_fcn = cl.simp_step
+    r.wind_case_opts    = {
+        'U_start': [10],
+        'U_end': [15],
+        'wind_dir': run_dir
+        }
+    r.controller_params = controller_params
+    r.save_dir      = run_dir
+
+    r.run_FAST()
+
+
+if __name__=="__main__":
+    main()
\ No newline at end of file
diff --git a/ROSCO/Examples/example_17.py b/ROSCO/Examples/example_17.py
new file mode 100644
index 000000000..c77e8cc64
--- /dev/null
+++ b/ROSCO/Examples/example_17.py
@@ -0,0 +1,134 @@
+'''
+----------- Example_17 --------------
+Run ROSCO using the ROSCO toolbox control interface and execute communication with ZeroMQ
+-------------------------------------
+
+A demonstrator for ZeroMQ communication. Instead of using ROSCO with with control interface, 
+one could call ROSCO from OpenFAST, and communicate with ZeroMQ through that.
+'''
+
+
+import platform
+import os
+import matplotlib.pyplot as plt
+from ROSCO_toolbox.inputs.validation import load_rosco_yaml
+from ROSCO_toolbox.utilities import write_DISCON
+from ROSCO_toolbox import control_interface as ROSCO_ci
+from ROSCO_toolbox.control_interface import turbine_zmq_server
+from ROSCO_toolbox import sim as ROSCO_sim
+from ROSCO_toolbox import turbine as ROSCO_turbine
+from ROSCO_toolbox import controller as ROSCO_controller
+import numpy as np
+import multiprocessing as mp
+
+def run_zmq():
+    connect_zmq = True
+    s = turbine_zmq_server(network_address="tcp://*:5555", timeout=10.0, verbose=True)
+    while connect_zmq:
+        #  Get latest measurements from ROSCO
+        measurements = s.get_measurements()
+
+        # Decide new control input based on measurements
+        current_time = measurements['Time']
+        if current_time <= 10.0:
+            yaw_setpoint = 0.0
+        else:
+            yaw_setpoint = 20.0
+
+            # Send new setpoints back to ROSCO
+        s.send_setpoints(nacelleHeading=yaw_setpoint)
+
+        if measurements['iStatus'] == -1:
+            connect_zmq = False
+            s._disconnect()
+
+
+def sim_rosco():
+    # Load yaml file
+    this_dir = os.path.dirname(os.path.abspath(__file__))
+    tune_dir = os.path.join(this_dir, '../Tune_Cases')
+    parameter_filename = os.path.join(tune_dir, 'NREL5MW.yaml')
+    inps = load_rosco_yaml(parameter_filename)
+    path_params = inps['path_params']
+    turbine_params = inps['turbine_params']
+    controller_params = inps['controller_params']
+
+    # Enable ZeroMQ & yaw control
+    controller_params['Y_ControlMode'] = 1
+    controller_params['ZMQ_Mode'] = 1
+
+    # Specify controller dynamic library path and name
+    this_dir = os.path.dirname(os.path.abspath(__file__))
+    example_out_dir = os.path.join(this_dir, 'examples_out')
+    if not os.path.isdir(example_out_dir):
+        os.makedirs(example_out_dir)
+
+    if platform.system() == 'Windows':
+        lib_name = os.path.join(this_dir, '../ROSCO/build/libdiscon.dll')
+    elif platform.system() == 'Darwin':
+        lib_name = os.path.join(this_dir, '../ROSCO/build/libdiscon.dylib')
+    else:
+        lib_name = os.path.join(this_dir, '../ROSCO/build/libdiscon.so')
+
+    # # Load turbine model from saved pickle
+    turbine = ROSCO_turbine.Turbine
+    turbine = turbine.load(os.path.join(example_out_dir, '01_NREL5MW_saved.p'))
+
+    # Load turbine data from OpenFAST and rotor performance text file
+    cp_filename = os.path.join(
+        tune_dir, path_params['FAST_directory'], path_params['rotor_performance_filename'])
+    turbine.load_from_fast(
+        path_params['FAST_InputFile'],
+        os.path.join(tune_dir, path_params['FAST_directory']),
+        dev_branch=True,
+        rot_source='txt', txt_filename=cp_filename
+    )
+
+    # Tune controller
+    controller = ROSCO_controller.Controller(controller_params)
+    controller.tune_controller(turbine)
+
+    # Write parameter input file
+    param_filename = os.path.join(this_dir, 'DISCON_zmq.IN')
+    write_DISCON(
+        turbine, controller,
+        param_file=param_filename,
+        txt_filename=cp_filename
+    )
+
+
+    # Load controller library
+    controller_int = ROSCO_ci.ControllerInterface(lib_name, param_filename=param_filename, sim_name='sim-zmq')
+
+    # Load the simulator
+    sim = ROSCO_sim.Sim(turbine, controller_int)
+
+    # Define a wind speed history
+    dt = 0.025
+    tlen = 100      # length of time to simulate (s)
+    ws0 = 7         # initial wind speed (m/s)
+    t = np.arange(0, tlen, dt)
+    ws = np.ones_like(t) * ws0
+    # add steps at every 100s
+    for i in range(len(t)):
+        ws[i] = ws[i] + t[i]//100
+
+    # Define wind directions as zeros  
+    wd = np.zeros_like(t)
+
+    # Run simulator and plot results
+    sim.sim_ws_wd_series(t, ws, wd, rotor_rpm_init=4, make_plots=True)
+
+    if False:
+        plt.show()
+    else:
+        plt.savefig(os.path.join(example_out_dir, '16_NREL5MW_zmqYaw.png'))
+
+
+if __name__ == "__main__":
+    p1 = mp.Process(target=run_zmq)
+    p1.start()
+    p2 = mp.Process(target=sim_rosco)
+    p2.start()
+    p1.join()
+    p2.join()
diff --git a/ROSCO/Examples/run_examples.py b/ROSCO/Examples/run_examples.py
index 181f4239f..56b47208a 100644
--- a/ROSCO/Examples/run_examples.py
+++ b/ROSCO/Examples/run_examples.py
@@ -1,8 +1,7 @@
 import os
 import unittest
-import sys
 from time import time
-import importlib
+import runpy
 
 all_scripts = [
     'example_01',
@@ -18,31 +17,27 @@
     'example_11',
     'example_12',
     'example_13',
-    'example_14'
+    'example_14',
+    'example_15',
+    'example_16',
+    'example_17', # NJA: only runs on unix in CI
 ]
 
 def execute_script(fscript):
-        examples_dir = os.path.dirname(os.path.realpath(__file__))
+    examples_dir = os.path.dirname(os.path.realpath(__file__))
 
-        # Go to location due to relative path use for airfoil files
-        print("\n\n")
-        print("NOW RUNNING:", fscript)
-        print()
-        fullpath = os.path.join(examples_dir, fscript + ".py")
-        basepath = os.path.dirname(os.path.realpath(fullpath))
-        os.chdir(basepath)
+    # Go to location due to relative path use for airfoil files
+    print("\n\n")
+    print("NOW RUNNING:", fscript)
+    print()
+    fullpath = os.path.join(examples_dir, fscript + ".py")
+    basepath = os.path.dirname(os.path.realpath(fullpath))
+    os.chdir(basepath)
 
-        # Get script/module name
-        froot = fscript.split("/")[-1]
-
-        # Use dynamic import capabilities
-        # https://www.blog.pythonlibrary.org/2016/05/27/python-201-an-intro-to-importlib/
-        print(froot, os.path.realpath(fullpath))
-        spec = importlib.util.spec_from_file_location(froot, os.path.realpath(fullpath))
-        mod = importlib.util.module_from_spec(spec)
-        s = time()
-        spec.loader.exec_module(mod)
-        print(time() - s, "seconds to run")
+    # Use runpy to execute examples
+    s = time()
+    runpy.run_path(os.path.realpath(fullpath), run_name='__main__')
+    print(time() - s, "seconds to run")
 
 class TestExamples(unittest.TestCase):
 
diff --git a/ROSCO/ROSCO/CMakeLists.txt b/ROSCO/ROSCO/CMakeLists.txt
index 0101971c7..3a97a2160 100644
--- a/ROSCO/ROSCO/CMakeLists.txt
+++ b/ROSCO/ROSCO/CMakeLists.txt
@@ -1,5 +1,5 @@
 cmake_minimum_required(VERSION 3.6)
-project(ROSCO VERSION 2.5.0 LANGUAGES Fortran)
+project(ROSCO VERSION 2.6.0 LANGUAGES Fortran C)
 
 set(CMAKE_Fortran_MODULE_DIRECTORY "${CMAKE_BINARY_DIR}/ftnmods")
 
@@ -10,20 +10,26 @@ endif()
 
 message(STATUS "CMAKE_Fortran_COMPILER_ID = ${CMAKE_Fortran_COMPILER_ID}")
 if(APPLE OR UNIX)
-  # Enable .dll export
-  if (CMAKE_Fortran_COMPILER_ID STREQUAL "Intel")
-    set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -DIMPLICIT_DLLEXPORT -r8 -double-size 64 -cpp -no-wrap-margin")
-  else()
-    set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -DIMPLICIT_DLLEXPORT -ffree-line-length-0 -fdefault-real-8 -fdefault-double-8 -cpp")
-  endif()
+# Enable .dll export
+if (CMAKE_Fortran_COMPILER_ID STREQUAL "Intel")
+set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -DIMPLICIT_DLLEXPORT -r8 -double-size 64 -cpp -no-wrap-margin")
+else()
+set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -DIMPLICIT_DLLEXPORT -ffree-line-length-0 -fdefault-real-8 -fdefault-double-8 -cpp")  
+endif()
 elseif (WIN32)
-  if (CMAKE_Fortran_COMPILER_ID STREQUAL "GNU")
-    # Ensure static linking to avoid requiring Fortran runtime dependencies
-    set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -ffree-line-length-0 -static-libgcc -static-libgfortran -static -fdefault-real-8 -fdefault-double-8 -cpp")
-  elseif (CMAKE_Fortran_COMPILER_ID STREQUAL "Intel")
-    set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -libs:static -free -static -fpp -real-size:64 -double-size:64")
+if (CMAKE_Fortran_COMPILER_ID STREQUAL "GNU")
+# Ensure static linking to avoid requiring Fortran runtime dependencies
+set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -ffree-line-length-0 -static-libgcc -static-libgfortran -static -fdefault-real-8 -fdefault-double-8 -cpp")
+elseif (CMAKE_Fortran_COMPILER_ID STREQUAL "Intel")
+set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -libs:static -free -static -fpp -real-size:64 -double-size:64")
 #     set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} /ffree-line-length-0 /static-libgcc /static-libgfortran /static /fdefault-real-8 /fdefault-double-8 /cpp")
-  endif()
+endif()
+endif()
+
+# Enable ZMQ_Client if compiler flag is set
+option(ZMQ_CLIENT "Enable use of ZeroMQ client" off)
+if(ZMQ_Client)
+  set(CMAKE_Fortran_FLAGS "${CMAKE_Fortran_FLAGS} -lzmq")
 endif()
 
 
@@ -36,7 +42,10 @@ set(SOURCES
     src/Filters.f90
     src/Functions.f90
     src/ReadSetParameters.f90
+    src/ROSCO_Helpers.f90
     src/ROSCO_IO.f90
+    src/ZeroMQInterface.f90
+    src/ExtControl.f90
 )
 
 if (${CMAKE_Fortran_COMPILER_ID} STREQUAL "GNU")
@@ -61,8 +70,39 @@ else (NWTC_SYS_FILE)
 endif (NWTC_SYS_FILE)
 
 # Library
+if(ZMQ_CLIENT)
+	# Find ZeroMQ installation
+	find_package(PkgConfig)
+	pkg_check_modules(PC_ZeroMQ libzmq)
+	find_path(ZeroMQ_INCLUDE_DIR
+			NAMES zmq.h
+			PATHS ${PC_ZeroMQ_INCLUDE_DIRS}
+			)
+	find_library(ZeroMQ_LIBRARY
+			NAMES zmq
+			PATHS ${PC_ZeroMQ_LIBRARY_DIRS}
+			)
+	include_directories(${ZeroMQ_INCLUDE_DIR})
+
+
+	# Compile C-based ZeroMQ client as object library
+	add_compile_options(-I${ZeroMQ_INCLUDE_DIR} -l${ZeroMQ_LIBRARY} -fPIC)
+	add_library(zmq_client OBJECT ../src/zmq_client.c)
+
+	# Add definition
+	add_definitions(-DZMQ_CLIENT="TRUE")
+    set(SOURCES ${SOURCES}
+	$<TARGET_OBJECTS:zmq_client>)
+endif()
+
 add_library(discon SHARED ${SOURCES})
 
+if(ZMQ_CLIENT)
+	target_include_directories(discon PUBLIC ${ZeroMQ_INCLUDE_DIR})
+	target_link_libraries(discon PUBLIC ${ZeroMQ_LIBRARY})
+endif()
+
+
 install(TARGETS discon
   EXPORT "${CMAKE_PROJECT_NAME}Libraries"
   RUNTIME DESTINATION lib
@@ -71,4 +111,4 @@ install(TARGETS discon
 )
 if(CMAKE_INSTALL_PREFIX_INITIALIZED_TO_DEFAULT)
   set(CMAKE_INSTALL_PREFIX "${CMAKE_SOURCE_DIR}/install")
-endif()
\ No newline at end of file
+endif()
diff --git a/ROSCO/ROSCO/rosco_registry/rosco_types.yaml b/ROSCO/ROSCO/rosco_registry/rosco_types.yaml
index 522337ae9..cd090bdc6 100644
--- a/ROSCO/ROSCO/rosco_registry/rosco_types.yaml
+++ b/ROSCO/ROSCO/rosco_registry/rosco_types.yaml
@@ -30,6 +30,11 @@ default_types:
     description: 
     size: 0
     equals: 
+  c_float: &c_float
+    type: c_float
+    description: 
+    size: 0
+    equals: 
   c_pointer: &c_pointer
     type: c_pointer
     description: 
@@ -91,12 +96,18 @@ ControlParameters:
     F_FlHighPassFreq:
       <<: *real
       description: Natural frequency of first-roder high-pass filter for nacelle fore-aft motion [rad/s].
+    F_YawErr:
+      <<: *real
+      description: Corner low pass filter corner frequency for yaw controller [rad/s].
     F_FlpCornerFreq:
       <<: *real
       description: Corner frequency (-3dB point) in the second order low pass filter of the blade root bending moment for flap control [rad/s].
       allocatable: True
     
     # Tower fore-aft damping
+    TD_Mode:
+      <<: *integer
+      description: Tower damper mode (0- no tower damper, 1- feed back translational nacelle accelleration to pitch angle
     FA_HPFCornerFreq:
       <<: *real
       description: Corner frequency (-3dB point) in the high-pass filter on the fore-aft acceleration signal [rad/s]
@@ -292,43 +303,29 @@ ControlParameters:
     # Yaw Controller
     Y_ControlMode:
       <<: *integer
-      description: Yaw control mode {0 - no yaw control, 1 - yaw rate control, 2 - yaw-by-IPC}
+      description: Yaw control mode {0 - no yaw control, 1 - yaw rate control}
+    Y_uSwitch:
+      <<: *real
+      description: Wind speed to switch between Y_ErrThresh. If zero, only the first value of Y_ErrThresh is used [m/s]
     Y_ErrThresh:
       <<: *real
-      description: Error threshold [rad]. Turbine begins to yaw when it passes this. (104.71975512) -- 1.745329252
+      description: Error threshold [rad]. Turbine begins to yaw when it passes this
+      allocatable: True
+    Y_Rate:
+      <<: *real
+      description: Yaw rate [rad/s]
+    Y_MErrSet:
+      <<: *real
+      description: Yaw alignment error, setpoint (for wake steering) [rad]
     Y_IPC_IntSat:
       <<: *real
       description: Integrator saturation (maximum signal amplitude contrbution to pitch from yaw-by-IPC)
-    Y_IPC_n:
-      <<: *integer
-      description: Number of controller gains (yaw-by-IPC)
     Y_IPC_KP:
       <<: *real
       description: Yaw-by-IPC proportional controller gain Kp
-      allocatable: True
     Y_IPC_KI:
       <<: *real
       description: Yaw-by-IPC integral controller gain Ki
-      allocatable: True
-    Y_IPC_omegaLP:
-      <<: *real
-      description: Low-pass filter corner frequency for the Yaw-by-IPC controller to filtering the yaw alignment error, [rad/s].
-    Y_IPC_zetaLP:
-      <<: *real
-      description: Low-pass filter damping factor for the Yaw-by-IPC controller to filtering the yaw alignment error, [-].
-    Y_MErrSet:
-      <<: *real
-      description: Yaw alignment error, setpoint [rad]
-    Y_omegaLPFast:
-      <<: *real
-      description: Corner frequency fast low pass filter, 1.0 [Hz]
-    Y_omegaLPSlow:
-      <<: *real
-      description: Corner frequency slow low pass filter, 1/60 [Hz]
-    Y_Rate:
-      <<: *real
-      description: Yaw rate [rad/s]
-    
     # Pitch Saturation
     PS_Mode:
       <<: *integer
@@ -422,7 +419,47 @@ ControlParameters:
       allocatable: True
       dimension: (:,:)
       description: Open loop channels in timeseries
+
+    # Pitch actuator
+    PA_Mode:
+      <<: *integer
+      description: Pitch actuator mode {0 - not used, 1 - first order filter, 2 - second order filter}
+    PA_CornerFreq:
+      <<: *real
+      description: Pitch actuator bandwidth/cut-off frequency [rad/s]
+    PA_Damping:
+      <<: *real
+      description: Pitch actuator damping ratio [-, unused if PA_Mode = 1]
+
+    # External Control
+    Ext_Mode:
+      <<: *integer
+      description: External control mode (0 - not used, 1 - call external control library)
+    DLL_FileName:
+      <<: *character
+      description: File name of external dynamic library
+      length: 1024
+    DLL_InFile:
+      <<: *character
+      description: Name of input file called by dynamic library (DISCON.IN, e.g.)
+      length: 1024
+    DLL_ProcName:
+      <<: *character
+      description: Process name of subprocess called in DLL_Filename (Usually DISCON)
+      length: 1024
     
+    # ZeroMQ
+    ZMQ_Mode:
+      <<: *integer
+      description: Flag for ZeroMQ (0-off, 1-yaw}
+    ZMQ_CommAddress:
+      <<: *character
+      length: 256
+      description: Comm Address to zeroMQ client
+    ZMQ_UpdatePeriod:
+      <<: *real
+      description: Integer for zeromq update frequency
+
     # Calculated
     PC_RtTq99:
       <<: *real
@@ -643,9 +680,12 @@ LocalVariables:
     RotSpeed: 
       <<: *real 
       description: Rotor speed (LSS) [rad/s]
-    Y_M: 
+    NacHeading: 
       <<: *real 
-      description: Yaw direction [rad]
+      description:  Nacelle heading of the turbine w.r.t. north [deg]
+    NacVane: 
+      <<: *real 
+      description:  Nacelle vane angle [deg]
     HorWindV: 
       <<: *real 
       description: Hub height wind speed m/s
@@ -769,6 +809,10 @@ LocalVariables:
       <<: *real 
       description: Commanded pitch of each blade the last time the controller was called [rad].
       size: 3
+    PitComAct:                  
+      <<: *real 
+      description: Actuated pitch of each blade the last time the controller was called [rad].
+      size: 3
     SS_DelOmegaF:                 
       <<: *real 
       description: Filtered setpoint shifting term defined in setpoint smoother [rad/s].
@@ -817,21 +861,6 @@ LocalVariables:
     VS_LastGenTrqF:               
       <<: *real 
       description: Differentiated integrated wind speed quantity for estimation [m/s]
-    Y_AccErr:                     
-      <<: *real 
-      description: Accumulated yaw error [rad].
-    Y_ErrLPFFast:                 
-      <<: *real 
-      description: Filtered yaw error by fast low pass filter [rad].
-    Y_ErrLPFSlow:                 
-      <<: *real 
-      description: Filtered yaw error by slow low pass filter [rad].
-    Y_MErr:                       
-      <<: *real 
-      description: Measured yaw error, measured + setpoint [rad].
-    Y_YawEndT:                    
-      <<: *real 
-      description: Yaw end time [s]. Indicates the time up until which yaw is active with a fixed rate
     SD:                           
       <<: *logical
       description: Shutdown, .FALSE. if inactive, .TRUE. if active
@@ -977,6 +1006,37 @@ DebugVariables:
   axisYaw_2P:
     <<: *real
     description: Yaw component of coleman transformation, 2P
+  YawRateCom:
+    <<: *real
+    description: Commanded yaw rate [rad/s].
+  NacHeadingTarget:
+    <<: *real
+    description: Target nacelle heading [rad].
+  NacVaneOffset:
+    <<: *real
+    description: Nacelle vane angle with offset [rad].
+  Yaw_err:
+    <<: *real
+    description: Yaw error [rad].
+  YawState:
+    <<: *real
+    description: State of yaw controller
+
+  YawRateCom:
+    <<: *real
+    description: Commanded yaw rate [rad/s].
+  NacHeadingTarget:
+    <<: *real
+    description: Target nacelle heading [rad].
+  NacVaneOffset:
+    <<: *real
+    description: Nacelle vane angle with offset [rad].
+  Yaw_err:
+    <<: *real
+    description: Yaw error [rad].
+  YawState:
+    <<: *real
+    description: State of yaw controller
 
 ErrorVariables:
   size_avcMSG: 
@@ -984,6 +1044,9 @@ ErrorVariables:
   aviFAIL: 
     <<: *c_integer
     description: 'A flag used to indicate the success of this DLL call set as follows: 0 if the DLL call was successful, >0 if the DLL call was successful but cMessage should be issued as a warning messsage, <0 if the DLL call was unsuccessful or for any other reason the simulation is to be stopped at this point with cMessage as the error message.'
+  ErrStat: 
+    <<: *c_integer
+    description: An error status flag used by OpenFAST processes
   ErrMsg: 
     <<: *character      
     description: a Fortran version of the C string argument (not considered an array here) [subtract 1 for the C null-character]
@@ -1011,4 +1074,19 @@ ExtDLL_Type:
     equals: '""'
     size: 3
     length: 1024
-    description: The name of the procedure in the DLL that will be called.
\ No newline at end of file
+    description: The name of the procedure in the DLL that will be called.
+
+ZMQ_Variables:
+  ZMQ_Flag:
+    <<: *logical
+    description: Flag if we're using zeroMQ at all (0-False, 1-True)
+  Yaw_Offset:
+    <<: *real
+    description: Yaw offsety command, [rad]
+    
+ExtControlType:
+  avrSWAP:
+    <<: *c_float
+    description: The swap array- used to pass data to and from the DLL controller [see Bladed DLL documentation]
+    allocatable: True
+    dimension: (:)
diff --git a/ROSCO/ROSCO/rosco_registry/write_registry.py b/ROSCO/ROSCO/rosco_registry/write_registry.py
index d19577488..05baaa8dd 100644
--- a/ROSCO/ROSCO/rosco_registry/write_registry.py
+++ b/ROSCO/ROSCO/rosco_registry/write_registry.py
@@ -74,14 +74,15 @@ def write_roscoio(yfile):
     # ------------------------------------------------
     # ------------ WriteRestartFile ------------------
     # ------------------------------------------------
-    file.write('SUBROUTINE WriteRestartFile(LocalVar, CntrPar, objInst, RootName, size_avcOUTNAME)\n')
+    file.write('SUBROUTINE WriteRestartFile(LocalVar, CntrPar, ErrVar, objInst, RootName, size_avcOUTNAME)\n')
     file.write("    TYPE(LocalVariables), INTENT(IN)                :: LocalVar\n")
     file.write("    TYPE(ControlParameters), INTENT(INOUT)          :: CntrPar\n")
     file.write("    TYPE(ObjectInstances), INTENT(INOUT)            :: objInst\n")
+    file.write("    TYPE(ErrorVariables), INTENT(INOUT)             :: ErrVar\n")
     file.write("    INTEGER(IntKi), INTENT(IN)                      :: size_avcOUTNAME\n")
     file.write("    CHARACTER(size_avcOUTNAME-1), INTENT(IN)        :: RootName \n")
     file.write("    \n")
-    file.write("    INTEGER(IntKi), PARAMETER    :: Un = 87             ! I/O unit for pack/unpack (checkpoint & restart)\n")
+    file.write("    INTEGER(IntKi)               :: Un                  ! I/O unit for pack/unpack (checkpoint & restart)\n")
     file.write("    INTEGER(IntKi)               :: I                   ! Generic index.\n")
     file.write("    CHARACTER(128)               :: InFile              ! Input checkpoint file\n")
     file.write("    INTEGER(IntKi)               :: ErrStat\n")
@@ -89,7 +90,8 @@ def write_roscoio(yfile):
     file.write("    CHARACTER(128)               :: n_t_global          ! timestep number as a string\n")
     file.write("\n")
     file.write("    WRITE(n_t_global, '(I0.0)' ) NINT(LocalVar%Time/LocalVar%DT)\n")
-    file.write("    InFile = RootName(1:size_avcOUTNAME-5)//TRIM( n_t_global )//'.RO.chkp'\n")
+    file.write("    InFile = TRIM(RootName)//TRIM( n_t_global )//'.RO.chkp'\n")
+    file.write("    CALL GetNewUnit(Un, ErrVar)\n")
     file.write("    OPEN(unit=Un, FILE=TRIM(InFile), STATUS='UNKNOWN', FORM='UNFORMATTED' , ACCESS='STREAM', IOSTAT=ErrStat, ACTION='WRITE' )\n")
     file.write("\n")
     file.write("    IF ( ErrStat /= 0 ) THEN\n")
@@ -116,17 +118,18 @@ def write_roscoio(yfile):
     # ------------------------------------------------
     # ------------ ReadRestartFile ------------------
     # ------------------------------------------------
-    file.write('SUBROUTINE ReadRestartFile(avrSWAP, LocalVar, CntrPar, objInst, PerfData, RootName, size_avcOUTNAME, ErrVar)\n')
+    file.write('SUBROUTINE ReadRestartFile(avrSWAP, LocalVar, CntrPar, objInst, PerfData, RootName, size_avcOUTNAME, zmqVar, ErrVar)\n')
     file.write("    TYPE(LocalVariables), INTENT(INOUT)             :: LocalVar\n")
     file.write("    TYPE(ControlParameters), INTENT(INOUT)          :: CntrPar\n")
     file.write("    TYPE(ObjectInstances), INTENT(INOUT)            :: objInst\n")
     file.write("    TYPE(PerformanceData), INTENT(INOUT)            :: PerfData\n")
     file.write("    TYPE(ErrorVariables), INTENT(INOUT)             :: ErrVar\n")
+    file.write("    TYPE(ZMQ_Variables), INTENT(INOUT)              :: zmqVar\n")
     file.write("    REAL(C_FLOAT), INTENT(IN)                       :: avrSWAP(*)\n")
     file.write("    INTEGER(IntKi), INTENT(IN)                      :: size_avcOUTNAME\n")
     file.write("    CHARACTER(size_avcOUTNAME-1), INTENT(IN)        :: RootName \n")
     file.write("    \n")
-    file.write("    INTEGER(IntKi), PARAMETER    :: Un = 87             ! I/O unit for pack/unpack (checkpoint & restart)\n")
+    file.write("    INTEGER(IntKi)               :: Un                  ! I/O unit for pack/unpack (checkpoint & restart)\n")
     file.write("    INTEGER(IntKi)               :: I                   ! Generic index.\n")
     file.write("    CHARACTER(128)               :: InFile              ! Input checkpoint file\n")
     file.write("    INTEGER(IntKi)               :: ErrStat\n")
@@ -134,7 +137,8 @@ def write_roscoio(yfile):
     file.write("    CHARACTER(128)               :: n_t_global          ! timestep number as a string\n")
     file.write("\n")
     file.write("    WRITE(n_t_global, '(I0.0)' ) NINT(avrSWAP(2)/avrSWAP(3))\n")
-    file.write("    InFile = RootName(1:size_avcOUTNAME-5)//TRIM( n_t_global )//'.RO.chkp'\n")
+    file.write("    InFile = TRIM(RootName)//TRIM( n_t_global )//'.RO.chkp'\n")
+    file.write("    CALL GetNewUnit(Un, ErrVar)\n")
     file.write("    OPEN(unit=Un, FILE=TRIM(InFile), STATUS='UNKNOWN', FORM='UNFORMATTED' , ACCESS='STREAM', IOSTAT=ErrStat, ACTION='READ' )\n")
     file.write("\n")
     file.write("    IF ( ErrStat /= 0 ) THEN\n")
@@ -159,7 +163,7 @@ def write_roscoio(yfile):
     file.write('        Close ( Un )\n')
     file.write('    ENDIF\n')
     file.write('    ! Read Parameter files\n')
-    file.write('    CALL ReadControlParameterFileSub(CntrPar, LocalVar%ACC_INFILE, LocalVar%ACC_INFILE_SIZE, ErrVar)\n')
+    file.write('    CALL ReadControlParameterFileSub(CntrPar, zmqVar, LocalVar%ACC_INFILE, LocalVar%ACC_INFILE_SIZE, ErrVar)\n')
     file.write('    IF (CntrPar%WE_Mode > 0) THEN\n')
     file.write('        CALL READCpFile(CntrPar, PerfData, ErrVar)\n')
     file.write('    ENDIF\n')
@@ -168,20 +172,21 @@ def write_roscoio(yfile):
     # ------------------------------------------------
     # ------------------ Debug -----------------------
     # ------------------------------------------------
-    file.write('SUBROUTINE Debug(LocalVar, CntrPar, DebugVar, avrSWAP, RootName, size_avcOUTNAME)\n')
+    file.write('SUBROUTINE Debug(LocalVar, CntrPar, DebugVar, ErrVar, avrSWAP, RootName, size_avcOUTNAME)\n')
     file.write('! Debug routine, defines what gets printed to DEBUG.dbg if LoggingLevel = 1\n')
     file.write('\n')
     file.write('    TYPE(ControlParameters), INTENT(IN) :: CntrPar\n')
     file.write('    TYPE(LocalVariables), INTENT(IN) :: LocalVar\n')
     file.write('    TYPE(DebugVariables), INTENT(IN) :: DebugVar\n')
+    file.write('    TYPE(ErrorVariables),       INTENT(INOUT)   :: ErrVar\n')
     file.write('\n')
     file.write('    INTEGER(IntKi), INTENT(IN)      :: size_avcOUTNAME\n')
     file.write('    INTEGER(IntKi)                  :: I , nDebugOuts, nLocalVars   ! Generic index.\n')
     file.write('    CHARACTER(1), PARAMETER         :: Tab = CHAR(9)                ! The tab character.\n')
     file.write('    CHARACTER(29), PARAMETER        :: FmtDat = "(F20.5,TR5,99(ES20.5E2,TR5:))"   ! The format of the debugging data\n')
-    file.write('    INTEGER(IntKi), PARAMETER       :: UnDb = 85                    ! I/O unit for the debugging information\n')
-    file.write('    INTEGER(IntKi), PARAMETER       :: UnDb2 = 86                   ! I/O unit for the debugging information, avrSWAP\n')
-    file.write('    INTEGER(IntKi), PARAMETER       :: UnDb3 = 87                   ! I/O unit for the debugging information, avrSWAP\n')
+    file.write('    INTEGER(IntKi), SAVE            :: UnDb                         ! I/O unit for the debugging information\n')
+    file.write('    INTEGER(IntKi), SAVE            :: UnDb2                        ! I/O unit for the debugging information, avrSWAP\n')
+    file.write('    INTEGER(IntKi), SAVE            :: UnDb3                        ! I/O unit for the debugging information, avrSWAP\n')
     file.write('    REAL(ReKi), INTENT(INOUT)       :: avrSWAP(*)                   ! The swap array, used to pass data to, and receive data from, the DLL controller.\n')
     file.write('    CHARACTER(size_avcOUTNAME-1), INTENT(IN) :: RootName            ! a Fortran version of the input C string (not considered an array here)    [subtract 1 for the C null-character]\n')
     file.write('    CHARACTER(200)                  :: Version                      ! git version of ROSCO\n')
@@ -257,7 +262,8 @@ def write_roscoio(yfile):
     file.write("    IF ((LocalVar%iStatus == 0) .OR. (LocalVar%iStatus == -9))  THEN ! .TRUE. if we're on the first call to the DLL\n")
     # Standar debug
     file.write("        IF (CntrPar%LoggingLevel > 0) THEN\n")
-    file.write("            OPEN(unit=UnDb, FILE=RootName(1: size_avcOUTNAME-5)//'RO.dbg')\n")
+    file.write("            CALL GetNewUnit(UnDb, ErrVar)\n")
+    file.write("            OPEN(unit=UnDb, FILE=TRIM(RootName)//'.RO.dbg')\n")
     file.write("            WRITE(UnDb, *)  'Generated on '//CurDate()//' at '//CurTime()//' using ROSCO-'//TRIM(rosco_version)\n")
     file.write("            WRITE(UnDb, '(99(a20,TR5:))') 'Time',   DebugOutStrings\n")
     file.write("            WRITE(UnDb, '(99(a20,TR5:))') '(sec)',  DebugOutUnits\n")
@@ -265,7 +271,8 @@ def write_roscoio(yfile):
     file.write("\n")
     # LocalVar debug
     file.write("        IF (CntrPar%LoggingLevel > 1) THEN\n")
-    file.write("            OPEN(unit=UnDb2, FILE=RootName(1: size_avcOUTNAME-5)//'RO.dbg2')\n")
+    file.write("            CALL GetNewUnit(UnDb2, ErrVar)\n")
+    file.write("            OPEN(unit=UnDb2, FILE=TRIM(RootName)//'.RO.dbg2')\n")
     file.write("            WRITE(UnDb2, *)  'Generated on '//CurDate()//' at '//CurTime()//' using ROSCO-'//TRIM(rosco_version)\n")
     file.write("            WRITE(UnDb2, '(99(a20,TR5:))') 'Time',   LocalVarOutStrings\n")
     file.write("            WRITE(UnDb2, '(99(a20,TR5:))')\n")
@@ -273,30 +280,30 @@ def write_roscoio(yfile):
     file.write("\n")
     # avrSWAP debug
     file.write("        IF (CntrPar%LoggingLevel > 2) THEN\n")
-    file.write("            OPEN(unit=UnDb3, FILE=RootName(1: size_avcOUTNAME-5)//'RO.dbg3')\n")
+    file.write("            CALL GetNewUnit(UnDb3, ErrVar)\n")
+    file.write("            OPEN(unit=UnDb3, FILE=TRIM(RootName)//'.RO.dbg3')\n")
     file.write("            WRITE(UnDb3,'(/////)')\n")
     file.write("            WRITE(UnDb3,'"+'(A,85("'+"'//Tab//'"+'AvrSWAP("'+',I2,")"'+"))')  'LocalVar%Time ', (i,i=1, 85)\n")
     file.write("            WRITE(UnDb3,'"+'(A,85("'+"'//Tab//'"+'(-)"'+"))')  '(s)'"+'\n')
     file.write("        END IF\n")
-    file.write("    ELSE\n")
+    file.write("    END IF\n")
     file.write("        ! Print simulation status, every 10 seconds\n")
-    file.write("        IF (MODULO(LocalVar%Time, 10.0_DbKi) == 0) THEN\n")
-    file.write("            WRITE(*, 100) LocalVar%GenSpeedF*RPS2RPM, LocalVar%BlPitch(1)*R2D, avrSWAP(15)/1000.0, LocalVar%WE_Vw\n")
-    file.write("            100 FORMAT('Generator speed: ', f6.1, ' RPM, Pitch angle: ', f5.1, ' deg, Power: ', f7.1, ' kW, Est. wind Speed: ', f5.1, ' m/s')\n")
-    file.write("        END IF\n")
+    file.write("    IF (MODULO(LocalVar%Time, 10.0_DbKi) == 0) THEN\n")
+    file.write("        WRITE(*, 100) LocalVar%GenSpeedF*RPS2RPM, LocalVar%BlPitch(1)*R2D, avrSWAP(15)/1000.0, LocalVar%WE_Vw\n")
+    file.write("        100 FORMAT('Generator speed: ', f6.1, ' RPM, Pitch angle: ', f5.1, ' deg, Power: ', f7.1, ' kW, Est. wind Speed: ', f5.1, ' m/s')\n")
+    file.write("    END IF\n")
     file.write("\n")
-    file.write("        ! Write debug files\n")
-    file.write("        IF(CntrPar%LoggingLevel > 0) THEN\n")
-    file.write("            WRITE (UnDb, FmtDat)  LocalVar%Time, DebugOutData\n")
-    file.write("        END IF\n")
+    file.write("    ! Write debug files\n")
+    file.write("    IF(CntrPar%LoggingLevel > 0) THEN\n")
+    file.write("        WRITE (UnDb, FmtDat)  LocalVar%Time, DebugOutData\n")
+    file.write("    END IF\n")
     file.write("\n")
-    file.write("        IF(CntrPar%LoggingLevel > 1) THEN\n")
-    file.write("            WRITE (UnDb2, FmtDat)  LocalVar%Time, LocalVarOutData\n")
-    file.write("        END IF\n")
+    file.write("    IF(CntrPar%LoggingLevel > 1) THEN\n")
+    file.write("        WRITE (UnDb2, FmtDat)  LocalVar%Time, LocalVarOutData\n")
+    file.write("    END IF\n")
     file.write("\n")
-    file.write("        IF(CntrPar%LoggingLevel > 2) THEN\n")
-    file.write("            WRITE (UnDb3, FmtDat)    LocalVar%Time, avrSWAP(1: 85)\n")
-    file.write("        END IF\n")
+    file.write("    IF(CntrPar%LoggingLevel > 2) THEN\n")
+    file.write("        WRITE (UnDb3, FmtDat)    LocalVar%Time, avrSWAP(1: 85)\n")
     file.write("    END IF\n")
     file.write("\n")
     file.write("END SUBROUTINE Debug\n")
@@ -342,6 +349,15 @@ def read_type(param):
         f90type = 'LOGICAL'
     elif param['type'] == 'c_integer':
         f90type = 'INTEGER(C_INT)'
+    elif param['type'] == 'c_float':
+        f90type = 'REAL(C_FLOAT)'
+        if param['allocatable']:
+            if param['dimension']:
+                f90type += ', DIMENSION{}, ALLOCATABLE'.format(param['dimension'])
+            else:
+                f90type += ', DIMENSION(:), ALLOCATABLE'
+        elif param['dimension']:
+            f90type += ', DIMENSION{}'.format(param['dimension'])
     elif param['type'] == 'c_pointer':
         f90type = 'TYPE(C_PTR)'
     elif param['type'] == 'c_intptr_t':
diff --git a/ROSCO/ROSCO/src/Constants.f90 b/ROSCO/ROSCO/src/Constants.f90
index bd7d50de3..d04745aed 100644
--- a/ROSCO/ROSCO/src/Constants.f90
+++ b/ROSCO/ROSCO/src/Constants.f90
@@ -14,7 +14,7 @@
 MODULE Constants
     USE, INTRINSIC  :: ISO_C_Binding
     
-    Character(*), PARAMETER     :: rosco_version = 'v2.5.0'             ! ROSCO version	
+    Character(*), PARAMETER     :: rosco_version = 'v2.6.0'             ! ROSCO version	
     INTEGER, PARAMETER                  :: DbKi             = C_DOUBLE            !< Default kind for double floating-point numbers
     INTEGER, PARAMETER                  :: ReKi             = C_FLOAT             !< Default kind for single floating-point numbers
     INTEGER, PARAMETER                  :: IntKi            = C_INT               !< Default kind for integer numbers
diff --git a/ROSCO/ROSCO/src/ControllerBlocks.f90 b/ROSCO/ROSCO/src/ControllerBlocks.f90
index a025f0ca1..a62c53661 100644
--- a/ROSCO/ROSCO/src/ControllerBlocks.f90
+++ b/ROSCO/ROSCO/src/ControllerBlocks.f90
@@ -36,9 +36,6 @@ SUBROUTINE ComputeVariablesSetpoints(CntrPar, LocalVar, objInst)
         REAL(DbKi)                                      :: PC_RefSpd        ! Referece speed for pitch controller, [rad/s] 
         REAL(DbKi)                                      :: Omega_op         ! Optimal TSR-tracking generator speed, [rad/s]
 
-        ! ----- Calculate yaw misalignment error -----
-        LocalVar%Y_MErr = LocalVar%Y_M + CntrPar%Y_MErrSet ! Yaw-alignment error
-        
         ! ----- Pitch controller speed and power error -----
         ! Implement setpoint smoothing
         IF (LocalVar%SS_DelOmegaF < 0) THEN
diff --git a/ROSCO/ROSCO/src/Controllers.f90 b/ROSCO/ROSCO/src/Controllers.f90
index 15bf11880..7568d4df0 100644
--- a/ROSCO/ROSCO/src/Controllers.f90
+++ b/ROSCO/ROSCO/src/Controllers.f90
@@ -67,7 +67,7 @@ SUBROUTINE PitchControl(avrSWAP, CntrPar, LocalVar, objInst, DebugVar, ErrVar)
         END IF
         
         ! Include tower fore-aft tower vibration damping control
-        IF ((CntrPar%FA_KI > 0.0) .OR. (CntrPar%Y_ControlMode == 2)) THEN
+        IF ((CntrPar%TD_Mode > 0) .OR. (CntrPar%Y_ControlMode == 2)) THEN
             CALL ForeAftDamping(CntrPar, LocalVar, objInst)
         ELSE
             LocalVar%FA_PitCom = 0.0 ! THIS IS AN ARRAY!!
@@ -99,13 +99,12 @@ SUBROUTINE PitchControl(avrSWAP, CntrPar, LocalVar, objInst, DebugVar, ErrVar)
         LocalVar%PC_PitComT = ratelimit(LocalVar%PC_PitComT, LocalVar%PC_PitComT_Last, CntrPar%PC_MinRat, CntrPar%PC_MaxRat, LocalVar%DT) ! Saturate the overall command of blade K using the pitch rate limit
         LocalVar%PC_PitComT_Last = LocalVar%PC_PitComT
 
-        ! Combine and saturate all individual pitch commands:
-        ! Filter to emulate pitch actuator
+        ! Combine and saturate all individual pitch commands in software
         DO K = 1,LocalVar%NumBl ! Loop through all blades, add IPC contribution and limit pitch rate
             LocalVar%PitCom(K) = LocalVar%PC_PitComT + LocalVar%FA_PitCom(K) 
             LocalVar%PitCom(K) = saturate(LocalVar%PitCom(K), LocalVar%PC_MinPit, CntrPar%PC_MaxPit)                    ! Saturate the command using the pitch satauration limits
-            LocalVar%PitCom(K) = LocalVar%PC_PitComT + LocalVar%IPC_PitComF(K)                                          ! Add IPC
-            LocalVar%PitCom(K) = saturate(LocalVar%PitCom(K), CntrPar%PC_MinPit, CntrPar%PC_MaxPit)                    ! Saturate the command using the absolute pitch angle limits
+            LocalVar%PitCom(K) = LocalVar%PitCom(K) + LocalVar%IPC_PitComF(K)                                          ! Add IPC
+            LocalVar%PitCom(K) = saturate(LocalVar%PitCom(K), LocalVar%PC_MinPit, CntrPar%PC_MaxPit)                    ! Saturate the command using the absolute pitch angle limits
             LocalVar%PitCom(K) = ratelimit(LocalVar%PitCom(K), LocalVar%BlPitch(K), CntrPar%PC_MinRat, CntrPar%PC_MaxRat, LocalVar%DT) ! Saturate the overall command of blade K using the pitch rate limit
         END DO
 
@@ -119,12 +118,33 @@ SUBROUTINE PitchControl(avrSWAP, CntrPar, LocalVar, objInst, DebugVar, ErrVar)
             ENDIF
         ENDIF
 
+        ! Place pitch actuator here, so it can be used with or without open-loop
+        DO K = 1,LocalVar%NumBl ! Loop through all blades, add IPC contribution and limit pitch rate
+            IF (CntrPar%PA_Mode > 0) THEN
+                IF (CntrPar%PA_Mode == 1) THEN
+                    LocalVar%PitComAct(K) = LPFilter(LocalVar%PitCom(K), LocalVar%DT, CntrPar%PA_CornerFreq, LocalVar%FP, LocalVar%iStatus, LocalVar%restart, objInst%instLPF)
+                ELSE IF (CntrPar%PA_Mode == 2) THEN
+                    LocalVar%PitComAct(K) = SecLPFilter(LocalVar%PitCom(K),LocalVar%DT,CntrPar%PA_CornerFreq,CntrPar%PA_Damping,LocalVar%FP,LocalVar%iStatus,LocalVar%restart,objInst%instSecLPF)
+                END IF  
+            ELSE
+                LocalVar%PitComAct(K) = LocalVar%PitCom(K)
+            ENDIF
+        END DO
+
+        ! Hardware saturation: using CntrPar%PC_MinPit
+        DO K = 1,LocalVar%NumBl ! Loop through all blades, add IPC contribution and limit pitch rate
+            ! Saturate the pitch command using the overall (hardware) limit
+            LocalVar%PitComAct(K) = saturate(LocalVar%PitComAct(K), LocalVar%PC_MinPit, CntrPar%PC_MaxPit)
+            ! Saturate the overall command of blade K using the pitch rate limit
+            LocalVar%PitComAct(K) = ratelimit(LocalVar%PitComAct(K), LocalVar%BlPitch(K), CntrPar%PC_MinRat, CntrPar%PC_MaxRat, LocalVar%DT) ! Saturate the overall command of blade K using the pitch rate limit
+        END DO
+
         ! Command the pitch demanded from the last
         ! call to the controller (See Appendix A of Bladed User's Guide):
-        avrSWAP(42) = LocalVar%PitCom(1)    ! Use the command angles of all blades if using individual pitch
-        avrSWAP(43) = LocalVar%PitCom(2)    ! "
-        avrSWAP(44) = LocalVar%PitCom(3)    ! "
-        avrSWAP(45) = LocalVar%PitCom(1)    ! Use the command angle of blade 1 if using collective pitch
+        avrSWAP(42) = LocalVar%PitComAct(1)    ! Use the command angles of all blades if using individual pitch
+        avrSWAP(43) = LocalVar%PitComAct(2)    ! "
+        avrSWAP(44) = LocalVar%PitComAct(3)    ! "
+        avrSWAP(45) = LocalVar%PitComAct(1)    ! Use the command angle of blade 1 if using collective pitch
 
         ! Add RoutineName to error message
         IF (ErrVar%aviFAIL < 0) THEN
@@ -225,60 +245,119 @@ SUBROUTINE VariableSpeedControl(avrSWAP, CntrPar, LocalVar, objInst, ErrVar)
 
     END SUBROUTINE VariableSpeedControl
 !-------------------------------------------------------------------------------------------------------------------------------
-    SUBROUTINE YawRateControl(avrSWAP, CntrPar, LocalVar, objInst, ErrVar)
+    SUBROUTINE YawRateControl(avrSWAP, CntrPar, LocalVar, objInst, zmqVar, DebugVar, ErrVar)
         ! Yaw rate controller
         !       Y_ControlMode = 0, No yaw control
-        !       Y_ControlMode = 1, Simple yaw rate control using yaw drive
-        !       Y_ControlMode = 2, Yaw by IPC (accounted for in IPC subroutine)
-        USE ROSCO_Types, ONLY : ControlParameters, LocalVariables, ObjectInstances, ErrorVariables
-    
-        REAL(ReKi),                 INTENT(INOUT)       :: avrSWAP(*) ! The swap array, used to pass data to, and receive data from, the DLL controller.
-        TYPE(ControlParameters),    INTENT(INOUT)       :: CntrPar
-        TYPE(LocalVariables),       INTENT(INOUT)       :: LocalVar
-        TYPE(ObjectInstances),      INTENT(INOUT)       :: objInst
-        TYPE(ErrorVariables),       INTENT(INOUT)       :: ErrVar
+        !       Y_ControlMode = 1, Yaw rate control using yaw drive
 
-        CHARACTER(*),               PARAMETER           :: RoutineName = 'YawRateControl'
+        ! TODO: Lots of R2D->D2R, this should be cleaned up.
+        ! TODO: The constant offset implementation is sort of circular here as a setpoint is already being defined in SetVariablesSetpoints. This could also use cleanup
+        USE ROSCO_Types, ONLY : ControlParameters, LocalVariables, ObjectInstances, DebugVariables, ErrorVariables, ZMQ_Variables
+    
+        REAL(C_FLOAT), INTENT(INOUT) :: avrSWAP(*) ! The swap array, used to pass data to, and receive data from, the DLL controller.
+    
+        TYPE(ControlParameters), INTENT(INOUT)    :: CntrPar
+        TYPE(LocalVariables), INTENT(INOUT)       :: LocalVar
+        TYPE(ObjectInstances), INTENT(INOUT)      :: objInst
+        TYPE(DebugVariables), INTENT(INOUT)       :: DebugVar
+        TYPE(ErrorVariables), INTENT(INOUT)       :: ErrVar
+        TYPE(ZMQ_Variables), INTENT(INOUT)  :: zmqVar
 
-        
-        !..............................................................................................................................
-        ! Yaw control
-        !..............................................................................................................................
+        ! Allocate Variables
+        REAL(DbKi), SAVE :: NacVaneOffset                          ! For offset control
+        INTEGER, SAVE :: YawState                               ! Yawing left(-1), right(1), or stopped(0)
+        REAL(DbKi)       :: WindDir                                ! Instantaneous wind dind direction, equal to turbine nacelle heading plus the measured vane angle (deg)
+        REAL(DbKi)       :: WindDirPlusOffset                     ! Instantaneous wind direction minus the assigned vane offset (deg)
+        REAL(DbKi)       :: WindDirPlusOffsetCosF                 ! Time-filtered x-component of WindDirPlusOffset (deg)
+        REAL(DbKi)       :: WindDirPlusOffsetSinF                 ! Time-filtered y-component of WindDirPlusOffset (deg)
+        REAL(DbKi)       :: NacHeadingTarget                       ! Time-filtered wind direction minus the assigned vane offset (deg)
+        REAL(DbKi), SAVE :: NacHeadingError                        ! Yaw error (deg)
+        REAL(DbKi)       :: YawRateCom                             ! Commanded yaw rate (deg/s)
+        REAL(DbKi)       :: deadband                               ! Allowable yaw error deadband (deg)
+        REAL(DbKi)       :: Time                                   ! Current time
+        INTEGER, SAVE :: Tidx                                   ! Index i: commanded yaw error is interpolated between i and i+1
         
         IF (CntrPar%Y_ControlMode == 1) THEN
-            avrSWAP(29) = 0                                      ! Yaw control parameter: 0 = yaw rate control
-            IF (LocalVar%Time >= LocalVar%Y_YawEndT) THEN        ! Check if the turbine is currently yawing
-                avrSWAP(48) = 0.0                                ! Set yaw rate to zero
-            
-                LocalVar%Y_ErrLPFFast = LPFilter(LocalVar%Y_MErr, LocalVar%DT, CntrPar%Y_omegaLPFast, LocalVar%FP, LocalVar%iStatus, .FALSE., objInst%instLPF)        ! Fast low pass filtered yaw error with a frequency of 1
-                LocalVar%Y_ErrLPFSlow = LPFilter(LocalVar%Y_MErr, LocalVar%DT, CntrPar%Y_omegaLPSlow, LocalVar%FP, LocalVar%iStatus, .FALSE., objInst%instLPF)        ! Slow low pass filtered yaw error with a frequency of 1/60
+
+            ! Compass wind directions in degrees
+            WindDir = wrap_360(LocalVar%NacHeading + LocalVar%NacVane)
             
-                LocalVar%Y_AccErr = LocalVar%Y_AccErr + LocalVar%DT*SIGN(LocalVar%Y_ErrLPFFast**2, LocalVar%Y_ErrLPFFast)    ! Integral of the fast low pass filtered yaw error
+            ! Initialize
+            IF (LocalVar%iStatus == 0) THEN
+                YawState = 0
+                Tidx = 1
+            ENDIF
             
-                IF (ABS(LocalVar%Y_AccErr) >= CntrPar%Y_ErrThresh) THEN                                   ! Check if accumulated error surpasses the threshold
-                    LocalVar%Y_YawEndT = ABS(LocalVar%Y_ErrLPFSlow/CntrPar%Y_Rate) + LocalVar%Time        ! Yaw to compensate for the slow low pass filtered error
-                END IF
+            ! Compute/apply offset
+            IF (CntrPar%ZMQ_Mode == 1) THEN
+                NacVaneOffset = zmqVar%Yaw_Offset
             ELSE
-                avrSWAP(48) = SIGN(CntrPar%Y_Rate, LocalVar%Y_MErr)        ! Set yaw rate to predefined yaw rate, the sign of the error is copied to the rate
-                LocalVar%Y_ErrLPFFast = LPFilter(LocalVar%Y_MErr, LocalVar%DT, CntrPar%Y_omegaLPFast, LocalVar%FP, LocalVar%iStatus, .TRUE., objInst%instLPF)        ! Fast low pass filtered yaw error with a frequency of 1
-                LocalVar%Y_ErrLPFSlow = LPFilter(LocalVar%Y_MErr, LocalVar%DT, CntrPar%Y_omegaLPSlow, LocalVar%FP, LocalVar%iStatus, .TRUE., objInst%instLPF)        ! Slow low pass filtered yaw error with a frequency of 1/60
-                LocalVar%Y_AccErr = 0.0    ! "
-            END IF
-        END IF
+                NacVaneOffset = CntrPar%Y_MErrSet ! (deg) # Offset from setpoint
+            ENDIF
 
-        ! If using open loop yaw rate control, overwrite controlled output
-        ! Open loop torque control
-        IF ((CntrPar%OL_Mode == 1) .AND. (CntrPar%Ind_YawRate > 0)) THEN
-            IF (LocalVar%Time >= CntrPar%OL_Breakpoints(1)) THEN
-                avrSWAP(48) = interp1d(CntrPar%OL_Breakpoints,CntrPar%OL_YawRate,LocalVar%Time, ErrVar)
+            ! Update filtered wind direction
+            WindDirPlusOffset = wrap_360(WindDir + NacVaneOffset) ! (deg)
+            WindDirPlusOffsetCosF = LPFilter(cos(WindDirPlusOffset*D2R), LocalVar%DT, CntrPar%F_YawErr, LocalVar%FP, LocalVar%iStatus, .FALSE., objInst%instLPF) ! (-)
+            WindDirPlusOffsetSinF = LPFilter(sin(WindDirPlusOffset*D2R), LocalVar%DT, CntrPar%F_YawErr, LocalVar%FP, LocalVar%iStatus, .FALSE., objInst%instLPF) ! (-)
+            NacHeadingTarget = wrap_360(atan2(WindDirPlusOffsetSinF, WindDirPlusOffsetCosF) * R2D) ! (deg)
+
+            ! ---- Now get into the guts of the control ----
+            ! Yaw error
+            NacHeadingError = wrap_180(NacHeadingTarget - LocalVar%NacHeading)
+			
+            ! Check for deadband
+            IF (LocalVar%WE_Vw_F .le. CntrPar%Y_uSwitch) THEN
+                deadband = CntrPar%Y_ErrThresh(1)
+            ELSE
+                deadband = CntrPar%Y_ErrThresh(2)
             ENDIF
-        ENDIF
 
-        ! Add RoutineName to error message
-        IF (ErrVar%aviFAIL < 0) THEN
-            ErrVar%ErrMsg = RoutineName//':'//TRIM(ErrVar%ErrMsg)
-        ENDIF
+            ! yawing right
+            IF (YawState == 1) THEN 
+                IF (NacHeadingError .le. 0) THEN
+                    ! stop yawing
+                    YawRateCom = 0.0
+                    YawState = 0 
+                ELSE
+                    ! persist
+                    LocalVar%NacHeading = wrap_360(LocalVar%NacHeading + CntrPar%Y_Rate*LocalVar%DT)
+                    YawRateCom = CntrPar%Y_Rate
+                    YawState = 1 
+                ENDIF
+            ! yawing left
+            ELSEIF (YawState == -1) THEN 
+                IF (NacHeadingError .ge. 0) THEN
+                    ! stop yawing
+                    YawRateCom = 0.0
+                    YawState = 0 
+                ELSE
+                    ! persist
+                    LocalVar%NacHeading = wrap_360(LocalVar%NacHeading - CntrPar%Y_Rate*LocalVar%DT)
+                    YawRateCom = -CntrPar%Y_Rate
+                    YawState = -1 
+                ENDIF
+            ! Initiate yaw if outside yaw error threshold
+            ELSE
+                IF (NacHeadingError .gt. deadband) THEN
+                    YawState = 1 ! yaw right
+                ENDIF
 
+                IF (NacHeadingError .lt. -deadband) THEN
+                    YawState = -1 ! yaw left
+                ENDIF
+
+                YawRateCom = 0.0 ! if YawState is not 0, start yawing on the next time step
+            ENDIF
+
+            ! Output yaw rate command in rad/s
+            avrSWAP(48) = YawRateCom * D2R
+
+            ! Save for debug
+            DebugVar%YawRateCom       = YawRateCom
+            DebugVar%NacHeadingTarget = NacHeadingTarget
+            DebugVar%NacVaneOffset    = NacVaneOffset
+            DebugVar%YawState         = YawState
+        END IF
     END SUBROUTINE YawRateControl
 !-------------------------------------------------------------------------------------------------------------------------------
     SUBROUTINE IPC(CntrPar, LocalVar, objInst, DebugVar, ErrVar)
@@ -300,7 +379,7 @@ SUBROUTINE IPC(CntrPar, LocalVar, objInst, DebugVar, ErrVar)
         REAL(DbKi)                  :: axisTilt_1P, axisYaw_1P, axisYawF_1P    ! Direct axis and quadrature axis outputted by Coleman transform, 1P
         REAL(DbKi)                  :: axisTilt_2P, axisYaw_2P, axisYawF_2P    ! Direct axis and quadrature axis outputted by Coleman transform, 1P
         REAL(DbKi)                  :: axisYawIPC_1P                           ! IPC contribution with yaw-by-IPC component
-        REAL(DbKi)                  :: Y_MErrF, Y_MErrF_IPC                    ! Unfiltered and filtered yaw alignment error [rad]
+        REAL(DbKi)                  :: Y_MErr, Y_MErrF, Y_MErrF_IPC            ! Unfiltered and filtered yaw alignment error [rad]
         
         CHARACTER(*),               PARAMETER           :: RoutineName = 'IPC'
 
@@ -311,8 +390,9 @@ SUBROUTINE IPC(CntrPar, LocalVar, objInst, DebugVar, ErrVar)
 
         ! High-pass filter the MBC yaw component and filter yaw alignment error, and compute the yaw-by-IPC contribution
         IF (CntrPar%Y_ControlMode == 2) THEN
-            Y_MErrF = SecLPFilter(LocalVar%Y_MErr, LocalVar%DT, CntrPar%Y_IPC_omegaLP, CntrPar%Y_IPC_zetaLP, LocalVar%FP, LocalVar%iStatus, LocalVar%restart, objInst%instSecLPF)
-            Y_MErrF_IPC = PIController(Y_MErrF, CntrPar%Y_IPC_KP(1), CntrPar%Y_IPC_KI(1), -CntrPar%Y_IPC_IntSat, CntrPar%Y_IPC_IntSat, LocalVar%DT, 0.0_DbKi, LocalVar%piP, LocalVar%restart, objInst%instPI)
+            Y_MErr = wrap_360(LocalVar%NacHeading + LocalVar%NacVane)
+            Y_MErrF = LPFilter(Y_MErr, LocalVar%DT, CntrPar%F_YawErr, LocalVar%FP, LocalVar%iStatus, LocalVar%restart, objInst%instSecLPF)
+            Y_MErrF_IPC = PIController(Y_MErrF, CntrPar%Y_IPC_KP, CntrPar%Y_IPC_KI, -CntrPar%Y_IPC_IntSat, CntrPar%Y_IPC_IntSat, LocalVar%DT, 0.0_DbKi, LocalVar%piP, LocalVar%restart, objInst%instPI)
         ELSE
             axisYawF_1P = axisYaw_1P
             Y_MErrF = 0.0
diff --git a/ROSCO/ROSCO/src/DISCON.F90 b/ROSCO/ROSCO/src/DISCON.F90
index ef8e46d68..2b2ec286f 100644
--- a/ROSCO/ROSCO/src/DISCON.F90
+++ b/ROSCO/ROSCO/src/DISCON.F90
@@ -25,7 +25,9 @@ SUBROUTINE DISCON(avrSWAP, aviFAIL, accINFILE, avcOUTNAME, avcMSG) BIND (C, NAME
 USE             :: Constants
 USE             :: Filters
 USE             :: Functions
+USE             :: ExtControl
 USE             :: ROSCO_IO
+USE             :: ZeroMQInterface
 
 IMPLICIT NONE
 ! Enable .dll export
@@ -56,19 +58,23 @@ SUBROUTINE DISCON(avrSWAP, aviFAIL, accINFILE, avcOUTNAME, avcMSG) BIND (C, NAME
 TYPE(PerformanceData),          SAVE           :: PerfData
 TYPE(DebugVariables),           SAVE           :: DebugVar
 TYPE(ErrorVariables),           SAVE           :: ErrVar
+TYPE(ZMQ_Variables),            SAVE           :: zmqVar
+TYPE(ExtControlType),           SAVE           :: ExtDLL
+
 
 CHARACTER(*),                   PARAMETER      :: RoutineName = 'ROSCO'
 
 RootName = TRANSFER(avcOUTNAME, RootName)
+CALL GetRoot(RootName,RootName)
 !------------------------------------------------------------------------------------------------------------------------------
 ! Main control calculations
 !------------------------------------------------------------------------------------------------------------------------------
 
 ! Check for restart
 IF ( (NINT(avrSWAP(1)) == -9) .AND. (aviFAIL >= 0))  THEN ! Read restart files
-    CALL ReadRestartFile(avrSWAP, LocalVar, CntrPar, objInst, PerfData, RootName, SIZE(avcOUTNAME), ErrVar)
+    CALL ReadRestartFile(avrSWAP, LocalVar, CntrPar, objInst, PerfData, RootName, SIZE(avcOUTNAME), zmqVar, ErrVar)
     IF ( CntrPar%LoggingLevel > 0 ) THEN
-        CALL Debug(LocalVar, CntrPar, DebugVar, avrSWAP, RootName, SIZE(avcOUTNAME))
+        CALL Debug(LocalVar, CntrPar, DebugVar, ErrVar, avrSWAP, RootName, SIZE(avcOUTNAME))
     END IF 
 END IF
 
@@ -76,14 +82,24 @@ SUBROUTINE DISCON(avrSWAP, aviFAIL, accINFILE, avcOUTNAME, avcMSG) BIND (C, NAME
 CALL ReadAvrSWAP(avrSWAP, LocalVar)
 
 ! Set Control Parameters
-CALL SetParameters(avrSWAP, accINFILE, SIZE(avcMSG), CntrPar, LocalVar, objInst, PerfData, ErrVar)
+CALL SetParameters(avrSWAP, accINFILE, SIZE(avcMSG), CntrPar, LocalVar, objInst, PerfData, zmqVar, ErrVar)
+
+! Call external controller, if desired
+IF (CntrPar%Ext_Mode > 0) THEN
+    CALL ExtController(avrSWAP, CntrPar, LocalVar, ExtDLL, ErrVar)
+    ! Data from external dll is in ExtDLL%avrSWAP, it's unused in the following code
+END IF
+
 
 ! Filter signals
 CALL PreFilterMeasuredSignals(CntrPar, LocalVar, DebugVar, objInst, ErrVar)
 
 IF (((LocalVar%iStatus >= 0) .OR. (LocalVar%iStatus <= -8)) .AND. (ErrVar%aviFAIL >= 0))  THEN  ! Only compute control calculations if no error has occurred and we are not on the last time step
     IF ((LocalVar%iStatus == -8) .AND. (ErrVar%aviFAIL >= 0))  THEN ! Write restart files
-        CALL WriteRestartFile(LocalVar, CntrPar, objInst, RootName, SIZE(avcOUTNAME))    
+        CALL WriteRestartFile(LocalVar, CntrPar, ErrVar, objInst, RootName, SIZE(avcOUTNAME))    
+    ENDIF
+    IF (zmqVar%ZMQ_Flag) THEN
+        CALL UpdateZeroMQ(LocalVar, CntrPar, zmqVar, ErrVar)
     ENDIF
     
     CALL WindSpeedEstimator(LocalVar, CntrPar, objInst, PerfData, DebugVar, ErrVar)
@@ -94,7 +110,7 @@ SUBROUTINE DISCON(avrSWAP, aviFAIL, accINFILE, avcOUTNAME, avcMSG) BIND (C, NAME
     CALL PitchControl(avrSWAP, CntrPar, LocalVar, objInst, DebugVar, ErrVar)
     
     IF (CntrPar%Y_ControlMode > 0) THEN
-        CALL YawRateControl(avrSWAP, CntrPar, LocalVar, objInst, ErrVar)
+        CALL YawRateControl(avrSWAP, CntrPar, LocalVar, objInst, zmqVar, DebugVar, ErrVar)
     END IF
     
     IF (CntrPar%Flp_Mode > 0) THEN
@@ -102,9 +118,10 @@ SUBROUTINE DISCON(avrSWAP, aviFAIL, accINFILE, avcOUTNAME, avcMSG) BIND (C, NAME
     END IF
     
     IF ( CntrPar%LoggingLevel > 0 ) THEN
-        CALL Debug(LocalVar, CntrPar, DebugVar, avrSWAP, RootName, SIZE(avcOUTNAME))
+        CALL Debug(LocalVar, CntrPar, DebugVar, ErrVar, avrSWAP, RootName, SIZE(avcOUTNAME))
     END IF 
-    
+ELSEIF ((LocalVar%iStatus == -1) .AND. (zmqVar%ZMQ_Flag)) THEN
+        CALL UpdateZeroMQ(LocalVar, CntrPar, zmqVar, ErrVar)
 END IF
 
 
diff --git a/ROSCO/ROSCO/src/ExtControl.f90 b/ROSCO/ROSCO/src/ExtControl.f90
new file mode 100644
index 000000000..2a398cda2
--- /dev/null
+++ b/ROSCO/ROSCO/src/ExtControl.f90
@@ -0,0 +1,135 @@
+! Copyright 2019 NREL
+
+! Licensed under the Apache License, Version 2.0 (the "License"); you may not use
+! this file except in compliance with the License. You may obtain a copy of the
+! License at http://www.apache.org/licenses/LICENSE-2.0
+
+! Unless required by applicable law or agreed to in writing, software distributed
+! under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
+! CONDITIONS OF ANY KIND, either express or implied. See the License for the
+! specific language governing permissions and limitations under the License.
+! -------------------------------------------------------------------------------------------
+
+! This module contains the primary controller routines
+
+! Subroutines:
+!           PitchControl: Blade pitch control high level subroutine
+!           VariableSpeedControl: Variable speed generator torque control
+!           YawRateControl: Nacelle yaw control
+!           IPC: Individual pitch control
+!           ForeAftDamping: Tower fore-aft damping control
+!           FloatingFeedback: Tower fore-aft feedback for floating offshore wind turbines
+
+MODULE ExtControl
+
+    USE, INTRINSIC :: ISO_C_Binding
+    USE Functions
+    USE ROSCO_Types
+    USE SysSubs
+
+    IMPLICIT NONE
+
+
+
+    ABSTRACT INTERFACE
+    SUBROUTINE BladedDLL_Legacy_Procedure ( avrSWAP, aviFAIL, accINFILE, avcOUTNAME, avcMSG )  BIND(C)
+       USE, INTRINSIC :: ISO_C_Binding
+
+       REAL(C_FLOAT),          INTENT(INOUT) :: avrSWAP   (*)  !< DATA
+       INTEGER(C_INT),         INTENT(INOUT) :: aviFAIL        !< FLAG  (Status set in DLL and returned to simulation code)
+       CHARACTER(KIND=C_CHAR), INTENT(IN)    :: accINFILE (*)  !< INFILE
+       CHARACTER(KIND=C_CHAR), INTENT(INOUT) :: avcOUTNAME(*)  !< OUTNAME (in:Simulation RootName; out:Name:Units; of logging channels)
+       CHARACTER(KIND=C_CHAR), INTENT(INOUT) :: avcMSG    (*)  !< MESSAGE (Message from DLL to simulation code [ErrMsg])
+    END SUBROUTINE BladedDLL_Legacy_Procedure
+
+    END INTERFACE
+
+CONTAINS
+
+    SUBROUTINE ExtController(avrSWAP, CntrPar, LocalVar, ExtDLL, ErrVar)
+        ! Inputs
+        TYPE(ControlParameters), INTENT(INOUT)      :: CntrPar
+        TYPE(LocalVariables), INTENT(INOUT)         :: LocalVar
+        TYPE(ErrorVariables), INTENT(INOUT)         :: ErrVar
+        TYPE(ExtControlType), INTENT(INOUT)         :: ExtDLL
+
+
+        REAL(C_FLOAT), INTENT(INOUT)                   :: avrSWAP(*)   ! The swap array, used to pass data to, and receive data from the DLL controller.
+
+        ! Temporary variables
+        ! CHARACTER(1024), PARAMETER                  :: ExtDLL_InFile = '/Users/dzalkind/Tools/ROSCO/Test_Cases/IEA-15-240-RWT-UMaineSemi/ServoData/DISCON-UMaineSemi.IN'
+        CHARACTER(100), PARAMETER                   :: ExtRootName   = 'external_control'
+
+        ! Local Variables
+        CHARACTER(*), PARAMETER                     :: RoutineName = 'ExtController'
+
+        TYPE(ExtDLL_Type), SAVE                     :: DLL_Ext
+        INTEGER(IntKi), PARAMETER                   :: max_avr_entries = 2000
+
+
+        PROCEDURE(BladedDLL_Legacy_Procedure), POINTER :: DLL_Legacy_Subroutine          ! The address of the (legacy DISCON) procedure in the Bladed DLL
+        CHARACTER(KIND=C_CHAR)                      :: accINFILE(LEN_TRIM(CntrPar%DLL_InFile)+1)  ! INFILE
+        CHARACTER(KIND=C_CHAR)                      :: avcOUTNAME(LEN_TRIM(ExtRootName)+1)   ! OUTNAME (Simulation RootName)
+        CHARACTER(KIND=C_CHAR)                      :: avcMSG(LEN(ErrVar%ErrMsg)+1)                ! MESSA
+
+
+        INTEGER(C_INT)                              :: aviFAIL                        ! A flag used to indicate the success of this DLL call set as follows: 0 if the DLL call was successful, >0 if the DLL call was successful but cMessage should be issued as a warning messsage, <0 if the DLL call was unsuccessful or for any other reason the simulation is to be stopped at this point with cMessage as the error message.
+
+
+        ! Initialize strings for external controller
+        aviFAIL     = 0
+        avcMSG     = TRANSFER( C_NULL_CHAR,                            avcMSG     )
+        avcOUTNAME = TRANSFER( TRIM(ExtRootName)//C_NULL_CHAR,   avcOUTNAME )
+        accINFILE  = TRANSFER( TRIM(CntrPar%DLL_InFile)//C_NULL_CHAR, accINFILE  )
+                
+        IF (LocalVar%iStatus == 0) THEN  
+
+            !! Set up DLL, will come from ROSCO input   
+            DLL_Ext%FileName = TRIM(CntrPar%DLL_FileName)
+            DLL_Ext%ProcName = TRIM(CntrPar%DLL_ProcName)
+
+            PRINT *, "ROSCO is calling an external dynamic library for control input:"
+            PRINT *, "DLL_FileName:", TRIM(CntrPar%DLL_FileName)
+            PRINT *, "DLL_InFile:", TRIM(CntrPar%DLL_InFile)
+            PRINT *, "DLL_ProcName:", TRIM(CntrPar%DLL_ProcName)
+
+            ! Load dynamic library, but first make sure that it's free
+            ! CALL FreeDynamicLib(DLL_Ext, ErrVar%ErrStat, ErrVar%ErrMsg)
+            CALL LoadDynamicLib(DLL_Ext, ErrVar%ErrStat, ErrVar%ErrMsg)
+            ALLOCATE(ExtDLL%avrSWAP(max_avr_entries)) !(1:max_avr_entries)
+
+            PRINT *, "Library loaded successfully"
+
+        END IF
+
+        ! Set avrSWAP of external DLL, inputs to external DLL
+        ExtDLL%avrSWAP = avrSWAP(1:max_avr_entries)
+
+        ! Set some length parameters
+        ExtDLL%avrSWAP(49) = LEN(avcMSG)  + 1                     !> * Record 49: Maximum number of characters in the "MESSAGE" argument (-) [size of ExtErrMsg argument plus 1 (we add one for the C NULL CHARACTER)]
+        ExtDLL%avrSWAP(50) = LEN_TRIM(CntrPar%DLL_InFile) +1  !> * Record 50: Number of characters in the "INFILE"  argument (-) [trimmed length of ExtDLL_InFile parameter plus 1 (we add one for the C NULL CHARACTER)]
+        ExtDLL%avrSWAP(51) = LEN_TRIM(ExtRootName)   +1  !> * Record 51: Number of characters in the "OUTNAME" argument (-) [trimmed length of ExtRootName parameter plus 1 (we add one for the C NULL CHARACTER)]
+
+        ! Call the DLL (first associate the address from the procedure in the DLL with the subroutine):
+        CALL C_F_PROCPOINTER( DLL_Ext%ProcAddr(1), DLL_Legacy_Subroutine) 
+        CALL DLL_Legacy_Subroutine (ExtDLL%avrSWAP, aviFAIL, accINFILE, avcOUTNAME, avcMSG ) 
+
+        ! Clean up DLL 
+        ! CALL FreeDynamicLib(DLL_Ext, ErrVar%ErrStat, ErrVar%ErrMsg)
+
+        ! Add RoutineName to error message
+        IF (ErrVar%aviFAIL < 0) THEN
+            ErrVar%ErrMsg = RoutineName//':'//TRIM(ErrVar%ErrMsg)
+            print * , TRIM(ErrVar%ErrMsg)
+        ENDIF
+
+
+    END SUBROUTINE ExtController
+
+
+!=================================================================================================================
+!=================================================================================================================
+!=================================================================================================================
+
+
+END MODULE ExtControl
diff --git a/ROSCO/ROSCO/src/Filters.f90 b/ROSCO/ROSCO/src/Filters.f90
index 4fb4239bb..5123b74c0 100644
--- a/ROSCO/ROSCO/src/Filters.f90
+++ b/ROSCO/ROSCO/src/Filters.f90
@@ -310,4 +310,4 @@ SUBROUTINE PreFilterMeasuredSignals(CntrPar, LocalVar, DebugVar, objInst, ErrVar
         DebugVar%NacIMU_FA_AccF = LocalVar%NacIMU_FA_AccF
         DebugVar%FA_AccF = LocalVar%FA_AccF
     END SUBROUTINE PreFilterMeasuredSignals
-    END MODULE Filters
\ No newline at end of file
+    END MODULE Filters
diff --git a/ROSCO/ROSCO/src/Functions.f90 b/ROSCO/ROSCO/src/Functions.f90
index c3d64603f..af9a0c2cd 100644
--- a/ROSCO/ROSCO/src/Functions.f90
+++ b/ROSCO/ROSCO/src/Functions.f90
@@ -9,7 +9,7 @@
 ! CONDITIONS OF ANY KIND, either express or implied. See the License for the
 ! specific language governing permissions and limitations under the License.
 ! -------------------------------------------------------------------------------------------
-! This module contains basic functions used by the controller
+! This module contains basic control-related functions
 
 ! Functions:
 !       AeroDynTorque: Calculate aerodynamic torque
@@ -509,7 +509,34 @@ REAL(DbKi) FUNCTION AeroDynTorque(RotSpeed, BldPitch, LocalVar, CntrPar, PerfDat
         ENDIF
         
     END FUNCTION AeroDynTorque
+!-------------------------------------------------------------------------------------------------------------------------------
+    REAL FUNCTION wrap_180(x) 
+    ! Function modifies input angle, x, such that -180<=x<=180, preventing windup
+        REAL(DbKi), INTENT(IN) :: x         ! angle, degrees
+
+        IF (x .le. -180.0) THEN
+            wrap_180 = x + 360.0
+        ELSEIF (x .gt. 180.0) THEN
+            wrap_180 = x - 360.0
+        ELSE
+            wrap_180 = x
+        ENDIF
+
+    END FUNCTION wrap_180
+!-------------------------------------------------------------------------------------------------------------------------------
+    REAL FUNCTION wrap_360(x) 
+    ! Function modifies input angle, x, such that 0<=x<=360, preventing windup
+        REAL(DbKi), INTENT(IN) :: x         ! angle, degrees
+
+        IF (x .lt. 0.0) THEN
+            wrap_360 = x + 360.0
+        ELSEIF (x .ge. 360.0) THEN
+            wrap_360 = x - 360.0
+        ELSE
+            wrap_360 = x
+        ENDIF
 
+    END FUNCTION wrap_360
 !-------------------------------------------------------------------------------------------------------------------------------
     REAL(DbKi) FUNCTION sigma(x, x0, x1, y0, y1, ErrVar)
     ! Generic sigma function
@@ -612,98 +639,5 @@ FUNCTION CurDate( )
     RETURN
     END FUNCTION CurDate
 
-!=======================================================================
-!> This function returns a character string encoded with the time in the form "hh:mm:ss".
-    FUNCTION CurTime( )
-
-    ! Function declaration.
-
-    CHARACTER(8)                 :: CurTime                                      !< The current time in the form "hh:mm:ss".
-
-
-    ! Local declarations.
-
-    CHARACTER(10)                :: CTime                                        ! String to hold the returned value from the DATE_AND_TIME subroutine call.
-
-
-
-    CALL DATE_AND_TIME ( TIME=CTime )
-
-    CurTime = CTime(1:2)//':'//CTime(3:4)//':'//CTime(5:6)
-
-
-    RETURN
-    END FUNCTION CurTime
-
-!=======================================================================
-! This function checks whether an array is non-decreasing
-    LOGICAL Function NonDecreasing(Array)
-
-    IMPLICIT NONE
-
-    REAL(DbKi), DIMENSION(:)            :: Array
-    INTEGER(IntKi)         :: I_DIFF
-
-    NonDecreasing = .TRUE.
-    ! Is Array non decreasing
-    DO I_DIFF = 1, size(Array) - 1
-        IF (Array(I_DIFF + 1) - Array(I_DIFF) <= 0) THEN
-            NonDecreasing = .FALSE.
-            RETURN
-        END IF
-    END DO
-
-    RETURN
-    END FUNCTION NonDecreasing
-
-!=======================================================================
-!> This routine converts all the text in a string to upper case.
-    SUBROUTINE Conv2UC ( Str )
-
-        ! Argument declarations.
-  
-     CHARACTER(*), INTENT(INOUT)  :: Str                                          !< The string to be converted to UC (upper case).
-  
-  
-        ! Local declarations.
-  
-     INTEGER                      :: IC                                           ! Character index
-  
-  
-  
-     DO IC=1,LEN_TRIM( Str )
-  
-        IF ( ( Str(IC:IC) >= 'a' ).AND.( Str(IC:IC) <= 'z' ) )  THEN
-           Str(IC:IC) = CHAR( ICHAR( Str(IC:IC) ) - 32 )
-        END IF
-  
-     END DO ! IC
-  
-  
-     RETURN
-     END SUBROUTINE Conv2UC
-
-!=======================================================================
-     !> This function returns a left-adjusted string representing the passed numeric value. 
-    !! It eliminates trailing zeroes and even the decimal point if it is not a fraction. \n
-    !! Use Num2LStr (nwtc_io::num2lstr) instead of directly calling a specific routine in the generic interface.   
-    FUNCTION Int2LStr ( Num )
-
-        CHARACTER(11)                :: Int2LStr                                     !< string representing input number.
-    
-    
-        ! Argument declarations.
-    
-        INTEGER, INTENT(IN)          :: Num                                          !< The number to convert to a left-justified string.
-    
-    
-    
-        WRITE (Int2LStr,'(I11)')  Num
-    
-        Int2Lstr = ADJUSTL( Int2LStr )
-    
-    
-        RETURN
-        END FUNCTION Int2LStr
 
 END MODULE Functions
diff --git a/ROSCO/ROSCO/src/ROSCO_Helpers.f90 b/ROSCO/ROSCO/src/ROSCO_Helpers.f90
new file mode 100644
index 000000000..c030cc843
--- /dev/null
+++ b/ROSCO/ROSCO/src/ROSCO_Helpers.f90
@@ -0,0 +1,1041 @@
+! Copyright 2019 NREL
+
+! Licensed under the Apache License, Version 2.0 (the "License"); you may not use
+! this file except in compliance with the License. You may obtain a copy of the
+! License at http://www.apache.org/licenses/LICENSE-2.0
+
+! Unless required by applicable law or agreed to in writing, software distributed
+! under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
+! CONDITIONS OF ANY KIND, either express or implied. See the License for the
+! specific language governing permissions and limitations under the License.
+! -------------------------------------------------------------------------------------------
+! Helper functions, primarily borrowed from NWTC_IO, for reading inputs and carrying out other helpful tasks
+
+MODULE ROSCO_Helpers
+
+    USE, INTRINSIC :: ISO_C_Binding
+    USE ROSCO_Types
+    USE CONSTANTS
+    USE SysSubs
+
+
+    IMPLICIT NONE
+
+    ! Global Variables
+    LOGICAL, PARAMETER     :: DEBUG_PARSING = .FALSE.      ! debug flag to output parsing information, set up Echo file later
+    
+    INTERFACE ParseInput                                                         ! Parses a character variable name and value from a string.
+        MODULE PROCEDURE ParseInput_Str                                             ! Parses a character string from a string.
+        MODULE PROCEDURE ParseInput_Dbl                                             ! Parses a double-precision REAL from a string.
+        MODULE PROCEDURE ParseInput_Int                                             ! Parses an INTEGER from a string.
+        ! MODULE PROCEDURE ParseInput_Log                                             ! Parses an LOGICAL from a string.
+    END INTERFACE
+
+    INTERFACE ParseAry                                                         ! Parse an array of numbers from a string.
+        MODULE PROCEDURE ParseDbAry                                             ! Parse an array of double-precision REAL values.
+        MODULE PROCEDURE ParseInAry                                             ! Parse an array of whole numbers.
+    END INTERFACE
+
+CONTAINS
+
+    !=======================================================================
+    ! Parse integer input: read line, check that variable name is in line, handle errors
+    subroutine ParseInput_Int(Un, CurLine, VarName, FileName, Variable, ErrVar, CheckName)
+        USE ROSCO_Types, ONLY : ErrorVariables
+
+        CHARACTER(1024)                         :: Line
+        INTEGER(IntKi),             INTENT(IN   )   :: Un   ! Input file unit
+        CHARACTER(*),           INTENT(IN   )   :: VarName   ! Input file unit
+        CHARACTER(*),           INTENT(IN   )   :: FileName   ! Input file unit
+        INTEGER(IntKi),             INTENT(INOUT)   :: CurLine   ! Current line of input
+        TYPE(ErrorVariables),   INTENT(INOUT)   :: ErrVar   ! Current line of input
+        CHARACTER(20)                           :: Words       (2)               ! The two "words" parsed from the line
+
+        INTEGER(IntKi),             INTENT(INOUT)   :: Variable   ! Variable
+        INTEGER(IntKi)                              :: ErrStatLcl                    ! Error status local to this routine.
+        LOGICAL, OPTIONAL,      INTENT(IN   )   :: CheckName
+
+        LOGICAL                                 :: CheckName_
+
+        ! Figure out if we're checking the name, default to .TRUE.
+        CheckName_ = .TRUE.
+        if (PRESENT(CheckName)) CheckName_ = CheckName 
+
+        ! If we've already failed, don't read anything
+        IF (ErrVar%aviFAIL >= 0) THEN
+
+            ! Read the whole line as a string
+            READ(Un, '(A)') Line
+
+            ! Separate line string into 2 words
+            CALL GetWords ( Line, Words, 2 )  
+
+            ! Debugging: show what's being read, turn into Echo later
+            IF (DEBUG_PARSING) THEN
+                print *, 'Read: '//TRIM(Words(1))//' and '//TRIM(Words(2)),' on line ', CurLine
+            END IF
+
+            ! Check that Variable Name is in Words
+            IF (CheckName_) THEN
+                CALL ChkParseData ( Words, VarName, FileName, CurLine, ErrVar )
+            END IF
+
+            ! IF We haven't failed already
+            IF (ErrVar%aviFAIL >= 0) THEN        
+
+                ! Read the variable
+                READ (Words(1),*,IOSTAT=ErrStatLcl)  Variable
+                IF ( ErrStatLcl /= 0 )  THEN
+                    ErrVar%aviFAIL  = -1
+                    ErrVar%ErrMsg   =  NewLine//' >> A fatal error occurred when parsing data from "' &
+                        //TRIM( FileName )//'".'//NewLine//  &
+                        ' >> The variable "'//TRIM( Words(2) )//'" was not assigned valid INTEGER value on line #' &
+                        //TRIM( Int2LStr( CurLine ) )//'.'//NewLine//&
+                        ' >> The text being parsed was :'//NewLine//'    "'//TRIM( Line )//'"'
+                ENDIF
+
+            ENDIF   
+
+            ! Increment line counter
+            CurLine = CurLine + 1
+        END IF
+
+    END subroutine ParseInput_Int
+
+    !=======================================================================
+    ! Parse double input, this is a copy of ParseInput_Int and a change in the variable definitions
+    subroutine ParseInput_Dbl(Un, CurLine, VarName, FileName, Variable, ErrVar, CheckName)
+        USE ROSCO_Types, ONLY : ErrorVariables
+
+        CHARACTER(1024)                         :: Line
+        INTEGER(IntKi),             INTENT(IN   )   :: Un   ! Input file unit
+        CHARACTER(*),           INTENT(IN   )   :: VarName   ! Input file unit
+        CHARACTER(*),           INTENT(IN   )   :: FileName   ! Input file unit
+        INTEGER(IntKi),             INTENT(INOUT)   :: CurLine   ! Current line of input
+        TYPE(ErrorVariables),   INTENT(INOUT)   :: ErrVar   ! Current line of input
+        CHARACTER(20)                           :: Words       (2)               ! The two "words" parsed from the line
+        LOGICAL, OPTIONAL,      INTENT(IN   )   :: CheckName
+
+        REAL(DbKi),             INTENT(INOUT)      :: Variable   ! Variable
+        INTEGER(IntKi)                              :: ErrStatLcl                    ! Error status local to this routine.
+
+        LOGICAL                                 :: CheckName_
+
+        ! Figure out if we're checking the name, default to .TRUE.
+        CheckName_ = .TRUE.
+        if (PRESENT(CheckName)) CheckName_ = CheckName 
+
+        ! If we've already failed, don't read anything
+        IF (ErrVar%aviFAIL >= 0) THEN
+
+            ! Read the whole line as a string
+            READ(Un, '(A)') Line
+
+            ! Separate line string into 2 words
+            CALL GetWords ( Line, Words, 2 )  
+
+            ! Debugging: show what's being read, turn into Echo later
+            IF (DEBUG_PARSING) THEN
+            print *, 'Read: '//TRIM(Words(1))//' and '//TRIM(Words(2)),' on line ', CurLine
+            END IF
+
+            ! Check that Variable Name is in Words
+            IF (CheckName_) THEN
+                CALL ChkParseData ( Words, VarName, FileName, CurLine, ErrVar )
+            END IF
+
+            ! IF We haven't failed already
+            IF (ErrVar%aviFAIL >= 0) THEN        
+
+                ! Read the variable
+                READ (Words(1),*,IOSTAT=ErrStatLcl)  Variable
+                IF ( ErrStatLcl /= 0 )  THEN
+                    ErrVar%aviFAIL  = -1
+                    ErrVar%ErrMsg   =  NewLine//' >> A fatal error occurred when parsing data from "' &
+                        //TRIM( FileName )//'".'//NewLine//  &
+                        ' >> The variable "'//TRIM( Words(2) )//'" was not assigned valid INTEGER value on line #' &
+                        //TRIM( Int2LStr( CurLine ) )//'.'//NewLine//&
+                        ' >> The text being parsed was :'//NewLine//'    "'//TRIM( Line )//'"'
+                ENDIF
+
+            ENDIF   
+
+            ! Increment line counter
+            CurLine = CurLine + 1
+        END IF
+
+    END subroutine ParseInput_Dbl
+
+    !=======================================================================
+    ! Parse string input, this is a copy of ParseInput_Int and a change in the variable definitions
+    subroutine ParseInput_Str(Un, CurLine, VarName, FileName, Variable, ErrVar, CheckName)
+        USE ROSCO_Types, ONLY : ErrorVariables
+
+        CHARACTER(1024)                         :: Line
+        INTEGER(IntKi),             INTENT(IN   )   :: Un   ! Input file unit
+        CHARACTER(*),           INTENT(IN   )   :: VarName   ! Input file unit
+        CHARACTER(*),           INTENT(IN   )   :: FileName   ! Input file unit
+        INTEGER(IntKi),             INTENT(INOUT)   :: CurLine   ! Current line of input
+        TYPE(ErrorVariables),   INTENT(INOUT)   :: ErrVar   ! Current line of input
+        CHARACTER(200)                          :: Words       (2)               ! The two "words" parsed from the line
+        LOGICAL, OPTIONAL,      INTENT(IN   )   :: CheckName
+
+        CHARACTER(*),           INTENT(INOUT)   :: Variable   ! Variable
+        INTEGER(IntKi)                              :: ErrStatLcl                    ! Error status local to this routine.
+
+        LOGICAL                                 :: CheckName_
+
+        ! Figure out if we're checking the name, default to .TRUE.
+        CheckName_ = .TRUE.
+        if (PRESENT(CheckName)) CheckName_ = CheckName 
+
+        ! If we've already failed, don't read anything
+        IF (ErrVar%aviFAIL >= 0) THEN
+
+            ! Read the whole line as a string
+            READ(Un, '(A)') Line
+
+            ! Separate line string into 2 words
+            CALL GetWords ( Line, Words, 2 )  
+
+            ! Debugging: show what's being read, turn into Echo later
+            if (DEBUG_PARSING) THEN
+                print *, 'Read: '//TRIM(Words(1))//' and '//TRIM(Words(2)),' on line ', CurLine
+            END IF
+
+            ! Check that Variable Name is in Words
+            IF (CheckName_) THEN
+                CALL ChkParseData ( Words, VarName, FileName, CurLine, ErrVar )
+            END IF
+
+            ! IF We haven't failed already
+            IF (ErrVar%aviFAIL >= 0) THEN        
+
+                ! Read the variable
+                READ (Words(1),'(A)',IOSTAT=ErrStatLcl)  Variable
+                IF ( ErrStatLcl /= 0 )  THEN
+                    ErrVar%aviFAIL  = -1
+                    ErrVar%ErrMsg   =  NewLine//' >> A fatal error occurred when parsing data from "' &
+                        //TRIM( FileName )//'".'//NewLine//  &
+                        ' >> The variable "'//TRIM( Words(2) )//'" was not assigned valid STRING value on line #' &
+                        //TRIM( Int2LStr( CurLine ) )//'.'//NewLine//&
+                        ' >> The text being parsed was :'//NewLine//'    "'//TRIM( Line )//'"'
+                ENDIF
+
+            ENDIF   
+
+            ! Increment line counter
+            CurLine = CurLine + 1
+        END IF
+
+    END subroutine ParseInput_Str
+
+!=======================================================================
+!> This subroutine parses the specified line of text for AryLen REAL values.
+!! Generate an error message if the value is the wrong type.
+!! Use ParseAry (nwtc_io::parseary) instead of directly calling a specific routine in the generic interface.   
+    SUBROUTINE ParseDbAry ( Un, LineNum, AryName, Ary, AryLen, FileName, ErrVar, CheckName )
+
+        USE ROSCO_Types, ONLY : ErrorVariables
+
+        ! Arguments declarations.
+        INTEGER(IntKi),             INTENT(IN   )   :: Un   ! Input file unit
+        INTEGER,                INTENT(IN   )   :: AryLen                        !< The length of the array to parse.
+
+        REAL(DbKi), ALLOCATABLE,   INTENT(INOUT)   :: Ary(:)            !< The array to receive the input values.
+
+        INTEGER(IntKi),             INTENT(INOUT)   :: LineNum                       !< The number of the line to parse.
+        CHARACTER(*),           INTENT(IN)      :: FileName                      !< The name of the file being parsed.
+
+
+        CHARACTER(*),           INTENT(IN   )   :: AryName                       !< The array name we are trying to fill.
+
+        TYPE(ErrorVariables),   INTENT(INOUT)   :: ErrVar   ! Current line of input
+
+        LOGICAL, OPTIONAL,      INTENT(IN   )   :: CheckName
+
+
+        ! Local declarations.
+
+        CHARACTER(1024)                         :: Line
+        INTEGER(IntKi)                              :: ErrStatLcl                    ! Error status local to this routine.
+        INTEGER(IntKi)                              :: i
+
+        CHARACTER(200), ALLOCATABLE             :: Words_Ary       (:)               ! The array "words" parsed from the line.
+        CHARACTER(1024)                         :: Debug_String 
+        CHARACTER(*), PARAMETER                 :: RoutineName = 'ParseDbAry'
+        LOGICAL                                 :: CheckName_
+
+        ! Figure out if we're checking the name, default to .TRUE.
+        CheckName_ = .TRUE.
+        if (PRESENT(CheckName)) CheckName_ = CheckName 
+
+        ! If we've already failed, don't read anything
+        IF (ErrVar%aviFAIL >= 0) THEN
+            ! Read the whole line as a string
+            READ(Un, '(A)') Line
+
+            ! Allocate array and handle errors
+            ALLOCATE ( Ary(AryLen) , STAT=ErrStatLcl )
+            IF ( ErrStatLcl /= 0 ) THEN
+                IF ( ALLOCATED(Ary) ) THEN
+                    ErrVar%aviFAIL = -1
+                    ErrVar%ErrMsg = RoutineName//':Error allocating memory for the '//TRIM( AryName )//' array; array was already allocated.'
+                ELSE
+                    ErrVar%aviFAIL = -1
+                    ErrVar%ErrMsg = RoutineName//':Error allocating memory for '//TRIM(Int2LStr( AryLen ))//' characters in the '//TRIM( AryName )//' array.'
+                END IF
+            END IF
+        
+            ! Allocate words array
+            ALLOCATE ( Words_Ary( AryLen + 1 ) , STAT=ErrStatLcl )
+            IF ( ErrStatLcl /= 0 )  THEN
+                ErrVar%aviFAIL = -1
+                ErrVar%ErrMsg = RoutineName//':Fatal error allocating memory for the Words array.'
+                CALL Cleanup()
+                RETURN
+            ENDIF
+
+            ! Separate line string into AryLen + 1 words, should include variable name
+            CALL GetWords ( Line, Words_Ary, AryLen + 1 )  
+
+            ! Debug Output
+            IF (DEBUG_PARSING) THEN
+                Debug_String = ''
+                DO i = 1,AryLen+1
+                    Debug_String = TRIM(Debug_String)//TRIM(Words_Ary(i))
+                    IF (i < AryLen + 1) THEN
+                        Debug_String = TRIM(Debug_String)//','
+                    END IF
+                END DO
+                print *, 'Read: '//TRIM(Debug_String)//' on line ', LineNum
+            END IF
+
+            ! Check that Variable Name is at the end of Words, will also check length of array
+            IF (CheckName_) THEN
+                CALL ChkParseData ( Words_Ary(AryLen:AryLen+1), AryName, FileName, LineNum, ErrVar )
+            END IF
+        
+            ! Read array
+            READ (Line,*,IOSTAT=ErrStatLcl)  Ary
+            IF ( ErrStatLcl /= 0 )  THEN
+                ErrVar%aviFAIL = -1
+                ErrVar%ErrMsg = RoutineName//':A fatal error occurred when parsing data from "' &
+                                //TRIM( FileName )//'".'//NewLine//  &
+                                ' >> The "'//TRIM( AryName )//'" array was not assigned valid REAL values on line #' &
+                                //TRIM( Int2LStr( LineNum ) )//'.'//NewLine//' >> The text being parsed was :'//NewLine &
+                                //'    "'//TRIM( Line )//'"' 
+                RETURN
+                CALL Cleanup()         
+            ENDIF
+
+        !  IF ( PRESENT(UnEc) )  THEN
+        !     IF ( UnEc > 0 )  WRITE (UnEc,'(A)')  TRIM( FileInfo%Lines(LineNum) )
+        !  END IF
+
+            LineNum = LineNum + 1
+            CALL Cleanup()
+        ENDIF
+
+        RETURN
+
+        !=======================================================================
+        CONTAINS
+        !=======================================================================
+            SUBROUTINE Cleanup ( )
+
+                ! This subroutine cleans up the parent routine before exiting.
+
+                ! Deallocate the Words array if it had been allocated.
+
+                IF ( ALLOCATED( Words_Ary ) ) DEALLOCATE( Words_Ary )
+
+
+                RETURN
+
+            END SUBROUTINE Cleanup
+
+  END SUBROUTINE ParseDbAry
+
+  !=======================================================================
+!> This subroutine parses the specified line of text for AryLen INTEGER values.
+!! Generate an error message if the value is the wrong type.
+!! Use ParseAry (nwtc_io::parseary) instead of directly calling a specific routine in the generic interface.   
+  SUBROUTINE ParseInAry ( Un, LineNum, AryName, Ary, AryLen, FileName, ErrVar, CheckName )
+
+    USE ROSCO_Types, ONLY : ErrorVariables
+
+    ! Arguments declarations.
+    INTEGER(IntKi),             INTENT(IN   )   :: Un   ! Input file unit
+    INTEGER,                INTENT(IN   )   :: AryLen                        !< The length of the array to parse.
+
+    INTEGER(IntKi), ALLOCATABLE,   INTENT(INOUT)   :: Ary(:)            !< The array to receive the input values.
+
+    INTEGER(IntKi),             INTENT(INOUT)   :: LineNum                       !< The number of the line to parse.
+    CHARACTER(*),           INTENT(IN)      :: FileName                      !< The name of the file being parsed.
+
+
+    CHARACTER(*),           INTENT(IN   )   :: AryName                       !< The array name we are trying to fill.
+
+    TYPE(ErrorVariables),   INTENT(INOUT)   :: ErrVar   ! Current line of input
+
+    LOGICAL, OPTIONAL,      INTENT(IN   )   :: CheckName
+
+    ! Local declarations.
+
+    CHARACTER(1024)                         :: Line
+    INTEGER(IntKi)                              :: ErrStatLcl                    ! Error status local to this routine.
+    INTEGER(IntKi)                              :: i
+
+    CHARACTER(200), ALLOCATABLE             :: Words_Ary       (:)               ! The array "words" parsed from the line.
+    CHARACTER(1024)                         :: Debug_String 
+    CHARACTER(*), PARAMETER                 :: RoutineName = 'ParseInAry'
+
+    LOGICAL                                 :: CheckName_
+
+    ! Figure out if we're checking the name, default to .TRUE.
+    CheckName_ = .TRUE.
+    if (PRESENT(CheckName)) CheckName_ = CheckName    
+
+    ! If we've already failed, don't read anything
+    IF (ErrVar%aviFAIL >= 0) THEN
+        ! Read the whole line as a string
+        READ(Un, '(A)') Line
+
+        ! Allocate array and handle errors
+        ALLOCATE ( Ary(AryLen) , STAT=ErrStatLcl )
+        IF ( ErrStatLcl /= 0 ) THEN
+            IF ( ALLOCATED(Ary) ) THEN
+                ErrVar%aviFAIL = -1
+                ErrVar%ErrMsg = RoutineName//':Error allocating memory for the '//TRIM( AryName )//' array; array was already allocated.'
+            ELSE
+                ErrVar%aviFAIL = -1
+                ErrVar%ErrMsg = RoutineName//':Error allocating memory for '//TRIM(Int2LStr( AryLen ))//' characters in the '//TRIM( AryName )//' array.'
+            END IF
+        END IF
+    
+        ! Allocate words array
+        ALLOCATE ( Words_Ary( AryLen + 1 ) , STAT=ErrStatLcl )
+        IF ( ErrStatLcl /= 0 )  THEN
+            ErrVar%aviFAIL = -1
+            ErrVar%ErrMsg = RoutineName//':Fatal error allocating memory for the Words array.'
+            CALL Cleanup()
+            RETURN
+        ENDIF
+
+        ! Separate line string into AryLen + 1 words, should include variable name
+        CALL GetWords ( Line, Words_Ary, AryLen + 1 )  
+
+        ! Debug Output
+        IF (DEBUG_PARSING) THEN
+            Debug_String = ''
+            DO i = 1,AryLen+1
+                Debug_String = TRIM(Debug_String)//TRIM(Words_Ary(i))
+                IF (i < AryLen + 1) THEN
+                    Debug_String = TRIM(Debug_String)//','
+                END IF
+            END DO
+            print *, 'Read: '//TRIM(Debug_String)//' on line ', LineNum
+        END IF
+
+        ! Check that Variable Name is at the end of Words, will also check length of array
+        IF (CheckName_) THEN
+            CALL ChkParseData ( Words_Ary(AryLen:AryLen+1), AryName, FileName, LineNum, ErrVar )
+        END IF
+    
+        ! Read array
+        READ (Line,*,IOSTAT=ErrStatLcl)  Ary
+        IF ( ErrStatLcl /= 0 )  THEN
+            ErrVar%aviFAIL = -1
+            ErrVar%ErrMsg = RoutineName//':A fatal error occurred when parsing data from "' &
+                            //TRIM( FileName )//'".'//NewLine//  &
+                            ' >> The "'//TRIM( AryName )//'" array was not assigned valid REAL values on line #' &
+                            //TRIM( Int2LStr( LineNum ) )//'.'//NewLine//' >> The text being parsed was :'//NewLine &
+                            //'    "'//TRIM( Line )//'"' 
+            RETURN
+            CALL Cleanup()         
+        ENDIF
+
+    !  IF ( PRESENT(UnEc) )  THEN
+    !     IF ( UnEc > 0 )  WRITE (UnEc,'(A)')  TRIM( FileInfo%Lines(LineNum) )
+    !  END IF
+
+        LineNum = LineNum + 1
+        CALL Cleanup()
+    ENDIF
+
+    RETURN
+
+    !=======================================================================
+    CONTAINS
+    !=======================================================================
+        SUBROUTINE Cleanup ( )
+
+            ! This subroutine cleans up the parent routine before exiting.
+
+            ! Deallocate the Words array if it had been allocated.
+
+            IF ( ALLOCATED( Words_Ary ) ) DEALLOCATE( Words_Ary )
+
+
+            RETURN
+
+        END SUBROUTINE Cleanup
+
+END SUBROUTINE ParseInAry
+
+!=======================================================================
+ !> This subroutine checks the data to be parsed to make sure it finds
+    !! the expected variable name and an associated value.
+SUBROUTINE ChkParseData ( Words, ExpVarName, FileName, FileLineNum, ErrVar )
+
+    USE ROSCO_Types, ONLY : ErrorVariables
+
+
+        ! Arguments declarations.
+    TYPE(ErrorVariables),         INTENT(INOUT)          :: ErrVar   ! Current line of input
+
+    INTEGER(IntKi), INTENT(IN)             :: FileLineNum                   !< The number of the line in the file being parsed.
+    INTEGER(IntKi)                        :: NameIndx                      !< The index into the Words array that points to the variable name.
+
+    CHARACTER(*),   INTENT(IN)             :: ExpVarName                    !< The expected variable name.
+    CHARACTER(*),   INTENT(IN)             :: Words       (2)               !< The two words to be parsed from the line.
+
+    CHARACTER(*),   INTENT(IN)             :: FileName                      !< The name of the file being parsed.
+
+
+        ! Local declarations.
+
+    CHARACTER(20)                          :: ExpUCVarName                  ! The uppercase version of ExpVarName.
+    CHARACTER(20)                          :: FndUCVarName                  ! The uppercase version of the word being tested.
+
+
+
+
+        ! Convert the found and expected names to uppercase.
+
+    FndUCVarName = Words(1)
+    ExpUCVarName = ExpVarName
+
+    CALL Conv2UC ( FndUCVarName )
+    CALL Conv2UC ( ExpUCVarName )
+
+    ! See which word is the variable name.  Generate an error if it is the first
+        
+    IF ( TRIM( FndUCVarName ) == TRIM( ExpUCVarName ) )  THEN
+        NameIndx = 1
+            ErrVar%aviFAIL = -1
+            ErrVar%ErrMsg = ' >> A fatal error occurred when parsing data from "'//TRIM( FileName ) &
+                            //'".'//NewLine//' >> The variable "'//TRIM( Words(1) )//'" was not assigned a valid value on line #' &
+                            //TRIM( Int2LStr( FileLineNum ) )//'.' 
+        RETURN
+    ELSE
+        FndUCVarName = Words(2)
+        CALL Conv2UC ( FndUCVarName )
+        IF ( TRIM( FndUCVarName ) == TRIM( ExpUCVarName ) )  THEN
+        NameIndx = 2
+        ELSE
+            ErrVar%aviFAIL = -1
+            ErrVar%ErrMsg = ' >> A fatal error occurred when parsing data from "'//TRIM( FileName ) &
+                            //'".'//NewLine//' >> The variable "'//TRIM( ExpVarName )//'" was not assigned a valid value on line #' &
+                            //TRIM( Int2LStr( FileLineNum ) )//'.' 
+        RETURN
+        ENDIF
+    ENDIF
+
+
+END SUBROUTINE ChkParseData 
+
+!=======================================================================
+subroutine ReadEmptyLine(Un,CurLine)
+    INTEGER(IntKi),         INTENT(IN   )          :: Un   ! Input file unit
+    INTEGER(IntKi),         INTENT(INOUT)          :: CurLine   ! Current line of input
+
+    CHARACTER(1024)                            :: Line
+
+    READ(Un, '(A)') Line
+    CurLine = CurLine + 1
+
+END subroutine ReadEmptyLine
+
+!=======================================================================
+!> This subroutine is used to get the NumWords "words" from a line of text.
+!! It uses spaces, tabs, commas, semicolons, single quotes, and double quotes ("whitespace")
+!! as word separators. If there aren't NumWords in the line, the remaining array elements will remain empty.
+!! Use CountWords (nwtc_io::countwords) to count the number of words in a line.
+SUBROUTINE GetWords ( Line, Words, NumWords )
+
+    ! Argument declarations.
+
+    INTEGER, INTENT(IN)          :: NumWords                                     !< The number of words to look for.
+
+    CHARACTER(*), INTENT(IN)     :: Line                                         !< The string to search.
+    CHARACTER(*), INTENT(OUT)    :: Words(NumWords)                              !< The array of found words.
+
+
+        ! Local declarations.
+
+    INTEGER                      :: Ch                                           ! Character position within the string.
+    INTEGER                      :: IW                                           ! Word index.
+    INTEGER                      :: NextWhite                                    ! The location of the next whitespace in the string.
+    CHARACTER(1), PARAMETER       :: Tab      = CHAR( 9 ) 
+
+
+
+        ! Let's prefill the array with blanks.
+
+    DO IW=1,NumWords
+        Words(IW) = ' '
+    END DO ! IW
+
+
+        ! Let's make sure we have text on this line.
+
+    IF ( LEN_TRIM( Line ) == 0 )  RETURN
+
+
+        ! Parse words separated by any combination of spaces, tabs, commas,
+        ! semicolons, single quotes, and double quotes ("whitespace").
+
+    Ch = 0
+    IW = 0
+
+    DO
+
+        NextWhite = SCAN( Line(Ch+1:) , ' ,!;''"'//Tab )
+
+        IF ( NextWhite > 1 )  THEN
+
+        IW        = IW + 1
+        Words(IW) = Line(Ch+1:Ch+NextWhite-1)
+
+        IF ( IW == NumWords )  EXIT
+
+        Ch = Ch + NextWhite
+
+        ELSE IF ( NextWhite == 1 )  THEN
+
+        Ch = Ch + 1
+
+        CYCLE
+
+        ELSE
+
+        EXIT
+
+        END IF
+
+    END DO
+
+
+    RETURN
+END SUBROUTINE GetWords
+!=======================================================================
+!> Let's parse the path name from the name of the given file.
+!! We'll count everything before (and including) the last "\" or "/".
+SUBROUTINE GetPath ( GivenFil, PathName )
+
+    ! Argument declarations.
+
+ CHARACTER(*), INTENT(IN)     :: GivenFil                                     !< The name of the given file.
+ CHARACTER(*), INTENT(OUT)    :: PathName                                     !< The path name of the given file (based solely on the GivenFil text string).
+
+
+    ! Local declarations.
+
+ INTEGER                      :: I                                            ! DO index for character position.
+
+
+    ! Look for path separators
+
+ I = INDEX( GivenFil, '\', BACK=.TRUE. )
+ I = MAX( I, INDEX( GivenFil, '/', BACK=.TRUE. ) )
+
+ IF ( I == 0 ) THEN
+    ! we don't have a path specified, return '.'
+    PathName = '.'//PathSep
+ ELSE
+    PathName = GivenFil(:I)
+ END IF
+
+
+ RETURN
+ END SUBROUTINE GetPath
+!=======================================================================
+!> Let's parse the root file name from the name of the given file.
+!! We'll count everything after the last period as the extension.
+!! Borrowed from NWTC_IO...thanks!
+
+   SUBROUTINE GetRoot ( GivenFil, RootName )
+
+      ! Argument declarations.
+
+   CHARACTER(*), INTENT(IN)     :: GivenFil                                     !< The name of the given file.
+   CHARACTER(*), INTENT(OUT)    :: RootName                                     !< The parsed root name of the given file.
+
+
+      ! Local declarations.
+
+   INTEGER                      :: I                                            ! DO index for character position.
+
+
+
+      ! Deal with a couple of special cases.
+
+   IF ( ( TRIM( GivenFil ) == "." ) .OR. (  TRIM( GivenFil ) == ".." ) )  THEN
+      RootName = TRIM( GivenFil )
+      RETURN
+   END IF
+
+
+      ! More-normal cases.
+
+   DO I=LEN_TRIM( GivenFil ),1,-1
+
+
+      IF ( GivenFil(I:I) == '.' )  THEN
+
+
+         IF ( I < LEN_TRIM( GivenFil ) ) THEN                   ! Make sure the index I is okay
+            IF ( INDEX( '\/', GivenFil(I+1:I+1)) == 0 ) THEN    ! Make sure we don't have the RootName in a different directory
+               RootName = GivenFil(:I-1)
+            ELSE
+               RootName = GivenFil                              ! This does not have a file extension
+            END IF
+         ELSE
+            IF ( I == 1 ) THEN
+               RootName = ''
+            ELSE
+               RootName = GivenFil(:I-1)
+            END IF
+         END IF
+
+         RETURN
+
+      END IF
+   END DO ! I
+
+   RootName =  GivenFil
+
+
+   RETURN
+   END SUBROUTINE GetRoot
+!=======================================================================
+!> This routine determines if the given file name is absolute or relative.
+!! We will consider an absolute path one that satisfies one of the
+!! following four criteria:
+!!     1. It contains ":/"
+!!     2. It contains ":\"
+!!     3. It starts with "/"
+!!     4. It starts with "\"
+!!   
+!! All others are considered relative.
+ FUNCTION PathIsRelative ( GivenFil )
+
+    ! Argument declarations.
+
+ CHARACTER(*), INTENT(IN)     :: GivenFil                                            !< The name of the given file.
+ LOGICAL                      :: PathIsRelative                                      !< The function return value
+
+ 
+
+    ! Determine if file name begins with an absolute path name or if it is relative 
+    !    note that Doxygen has serious issues if you use the single quote instead of  
+    !    double quote characters in the strings below:
+
+ PathIsRelative = .FALSE.
+
+ IF ( ( INDEX( GivenFil, ":/") == 0 ) .AND. ( INDEX( GivenFil, ":\") == 0 ) ) THEN   ! No drive is specified (by ":\" or ":/")
+
+    IF ( INDEX( "/\", GivenFil(1:1) ) == 0 ) THEN                                    ! The file name doesn't start with "\" or "/"
+
+       PathIsRelative = .TRUE.
+
+    END IF
+
+ END IF
+
+ RETURN
+ END FUNCTION PathIsRelative
+!=======================================================================
+! ------------------------------------------------------
+    ! Read Open Loop Control Inputs
+    ! 
+    ! Timeseries or lookup tables of the form
+    ! index (time or wind speed)   channel_1 \t channel_2 \t channel_3 ...
+    ! This could be used to read any group of data of unspecified length ...
+SUBROUTINE Read_OL_Input(OL_InputFileName, Unit_OL_Input, NumChannels, Channels, ErrVar)
+
+    USE ROSCO_Types, ONLY : ErrorVariables
+
+    CHARACTER(1024), INTENT(IN)                             :: OL_InputFileName    ! DISCON input filename
+    INTEGER(IntKi), INTENT(IN)                              :: Unit_OL_Input 
+    INTEGER(IntKi), INTENT(IN)                              :: NumChannels     ! Number of open loop channels being defined
+    ! REAL(DbKi), INTENT(OUT), DIMENSION(:), ALLOCATABLE      :: Breakpoints    ! Breakpoints of open loop Channels
+    REAL(DbKi), INTENT(OUT), DIMENSION(:,:), ALLOCATABLE    :: Channels         ! Open loop channels
+    TYPE(ErrorVariables),         INTENT(INOUT)          :: ErrVar   ! Current line of input
+
+
+    LOGICAL                                                 :: FileExists
+    INTEGER                                                 :: IOS                                                 ! I/O status of OPEN.
+    CHARACTER(1024)                                         :: Line              ! Temp variable for reading whole line from file
+    INTEGER(IntKi)                                          :: NumComments
+    INTEGER(IntKi)                                          :: NumDataLines
+    REAL(DbKi)                                              :: TmpData(NumChannels)  ! Temp variable for reading all columns from a line
+    CHARACTER(15)                                           :: NumString
+
+    INTEGER(IntKi)                                          :: I,J
+
+    CHARACTER(*),               PARAMETER                   :: RoutineName = 'Read_OL_Input'
+
+    !-------------------------------------------------------------------------------------------------
+    ! Read from input file, borrowed (read: copied) from (Open)FAST team...thanks!
+    !-------------------------------------------------------------------------------------------------
+
+    !-------------------------------------------------------------------------------------------------
+    ! Open the file for reading
+    !-------------------------------------------------------------------------------------------------
+
+    INQUIRE (FILE = OL_InputFileName, EXIST = FileExists)
+
+    IF ( .NOT. FileExists) THEN
+        ErrVar%aviFAIL = -1
+        ErrVar%ErrMsg = TRIM(OL_InputFileName)// ' does not exist'
+
+    ELSE
+
+        OPEN( Unit_OL_Input, FILE=TRIM(OL_InputFileName), STATUS='OLD', FORM='FORMATTED', IOSTAT=IOS, ACTION='READ' )
+
+        IF (IOS /= 0) THEN
+            ErrVar%aviFAIL = -1
+            ErrVar%ErrMsg = 'Cannot open '//TRIM(OL_InputFileName)
+        
+        ELSE
+            ! Do all the stuff!
+            !-------------------------------------------------------------------------------------------------
+            ! Find the number of comment lines
+            !-------------------------------------------------------------------------------------------------
+
+            LINE = '!'                          ! Initialize the line for the DO WHILE LOOP
+            NumComments = -1                    ! the last line we read is not a comment, so we'll initialize this to -1 instead of 0
+
+            DO WHILE ( (INDEX( LINE, '!' ) > 0) .OR. (INDEX( LINE, '#' ) > 0) .OR. (INDEX( LINE, '%' ) > 0) ) ! Lines containing "!" are treated as comment lines
+                NumComments = NumComments + 1
+                
+                READ(Unit_OL_Input,'( A )',IOSTAT=IOS) LINE
+
+                ! NWTC_IO has some error catching here that we'll skip for now
+        
+            END DO !WHILE
+
+            !-------------------------------------------------------------------------------------------------
+            ! Find the number of data lines
+            !-------------------------------------------------------------------------------------------------
+
+            NumDataLines = 0
+
+            READ(LINE,*,IOSTAT=IOS) ( TmpData(I), I=1,NumChannels ) ! this line was read when we were figuring out the comment lines; let's make sure it contains
+
+            DO WHILE (IOS == 0)  ! read the rest of the file (until an error occurs)
+                NumDataLines = NumDataLines + 1
+                
+                READ(Unit_OL_Input,*,IOSTAT=IOS) ( TmpData(I), I=1,NumChannels )
+            
+            END DO !WHILE
+        
+        
+            IF (NumDataLines < 1) THEN
+                WRITE (NumString,'(I11)')  NumComments
+                ErrVar%aviFAIL = -1
+                ErrVar%ErrMsg = 'Error: '//TRIM(NumString)//' comment lines were found in the uniform wind file, '// &
+                            'but the first data line does not contain the proper format.'
+                CLOSE(Unit_OL_Input)
+            END IF
+
+            !-------------------------------------------------------------------------------------------------
+            ! Allocate arrays for the uniform wind data
+            !-------------------------------------------------------------------------------------------------
+            ALLOCATE(Channels(NumDataLines,NumChannels))
+
+            !-------------------------------------------------------------------------------------------------
+            ! Rewind the file (to the beginning) and skip the comment lines
+            !-------------------------------------------------------------------------------------------------
+
+            REWIND( Unit_OL_Input )
+
+            DO I=1,NumComments
+                READ(Unit_OL_Input,'( A )',IOSTAT=IOS) LINE
+            END DO !I
+        
+            !-------------------------------------------------------------------------------------------------
+            ! Read the data arrays
+            !-------------------------------------------------------------------------------------------------
+        
+            DO I=1,NumDataLines
+            
+                READ(Unit_OL_Input,*,IOSTAT=IOS) ( TmpData(J), J=1,NumChannels )
+
+                IF (IOS > 0) THEN
+                    CLOSE(Unit_OL_Input)
+                END IF
+
+                Channels(I,:)        = TmpData
+        
+            END DO !I     
+        END IF
+    END IF
+
+    IF (ErrVar%aviFAIL < 0) THEN
+        ErrVar%ErrMsg = RoutineName//':'//TRIM(ErrVar%ErrMsg)
+    ENDIF
+
+END SUBROUTINE Read_OL_Input
+
+!=======================================================================
+!> This routine returns the next unit number greater than 9 that is not currently in use.
+!! If it cannot find any unit between 10 and 99 that is available, it either aborts or returns an appropriate error status/message.   
+   SUBROUTINE GetNewUnit ( UnIn, ErrVar )
+
+
+
+      ! Argument declarations.
+
+   INTEGER,        INTENT(OUT)            :: UnIn                                         !< Logical unit for the file.                           !< The error message, if an error occurred
+   TYPE(ErrorVariables), INTENT(INOUT)             :: ErrVar
+
+
+      ! Local declarations.
+
+   INTEGER                                :: Un                                           ! Unit number
+   LOGICAL                                :: Opened                                       ! Flag indicating whether or not a file is opened.
+   INTEGER(IntKi), PARAMETER              :: StartUnit = 10                               ! Starting unit number to check (numbers less than 10 reserved)
+   INTEGER(IntKi), PARAMETER              :: MaxUnit   = 99                               ! The maximum unit number available (or 10 less than the number of files you want to have open at a time)
+
+
+      ! Initialize subroutine outputs
+
+   Un = StartUnit
+
+      ! See if unit is connected to an open file. Check the next largest number until it is not opened.
+
+   DO
+
+      INQUIRE ( UNIT=Un , OPENED=Opened )
+
+      IF ( .NOT. Opened )  EXIT
+      Un = Un + 1
+
+      IF ( Un > MaxUnit ) THEN
+
+         ErrVar%aviFAIL = -1
+         ErrVar%ErrMsg  = 'GetNewUnit() was unable to find an open file unit specifier between '//TRIM(Int2LStr(StartUnit)) &
+                                                                            //' and '//TRIM(Int2LStr(MaxUnit))//'.'
+
+         EXIT           ! stop searching now
+
+      END IF
+
+
+   END DO
+
+   UnIn = Un
+
+   RETURN
+   END SUBROUTINE GetNewUnit
+
+!=======================================================================
+!> This function returns a character string encoded with the time in the form "hh:mm:ss".
+    FUNCTION CurTime( )
+
+    ! Function declaration.
+
+    CHARACTER(8)                 :: CurTime                                      !< The current time in the form "hh:mm:ss".
+
+
+    ! Local declarations.
+
+    CHARACTER(10)                :: CTime                                        ! String to hold the returned value from the DATE_AND_TIME subroutine call.
+
+
+
+    CALL DATE_AND_TIME ( TIME=CTime )
+
+    CurTime = CTime(1:2)//':'//CTime(3:4)//':'//CTime(5:6)
+
+
+    RETURN
+    END FUNCTION CurTime
+
+!=======================================================================
+! This function checks whether an array is non-decreasing
+    LOGICAL Function NonDecreasing(Array)
+
+    IMPLICIT NONE
+
+    REAL(DbKi), DIMENSION(:)            :: Array
+    INTEGER(IntKi)         :: I_DIFF
+
+    NonDecreasing = .TRUE.
+    ! Is Array non decreasing
+    DO I_DIFF = 1, size(Array) - 1
+        IF (Array(I_DIFF + 1) - Array(I_DIFF) <= 0) THEN
+            NonDecreasing = .FALSE.
+            RETURN
+        END IF
+    END DO
+
+    RETURN
+    END FUNCTION NonDecreasing
+
+!=======================================================================
+!> This routine converts all the text in a string to upper case.
+    SUBROUTINE Conv2UC ( Str )
+
+        ! Argument declarations.
+  
+     CHARACTER(*), INTENT(INOUT)  :: Str                                          !< The string to be converted to UC (upper case).
+  
+  
+        ! Local declarations.
+  
+     INTEGER                      :: IC                                           ! Character index
+  
+  
+  
+     DO IC=1,LEN_TRIM( Str )
+  
+        IF ( ( Str(IC:IC) >= 'a' ).AND.( Str(IC:IC) <= 'z' ) )  THEN
+           Str(IC:IC) = CHAR( ICHAR( Str(IC:IC) ) - 32 )
+        END IF
+  
+     END DO ! IC
+  
+  
+     RETURN
+     END SUBROUTINE Conv2UC
+
+!=======================================================================
+     !> This function returns a left-adjusted string representing the passed numeric value. 
+    !! It eliminates trailing zeroes and even the decimal point if it is not a fraction. \n
+    !! Use Num2LStr (nwtc_io::num2lstr) instead of directly calling a specific routine in the generic interface.   
+    FUNCTION Int2LStr ( Num )
+
+        CHARACTER(11)                :: Int2LStr                                     !< string representing input number.
+    
+    
+        ! Argument declarations.
+    
+        INTEGER, INTENT(IN)          :: Num                                          !< The number to convert to a left-justified string.
+    
+    
+    
+        WRITE (Int2LStr,'(I11)')  Num
+    
+        Int2Lstr = ADJUSTL( Int2LStr )
+    
+    
+        RETURN
+        END FUNCTION Int2LStr
+
+
+END MODULE ROSCO_Helpers
\ No newline at end of file
diff --git a/ROSCO/ROSCO/src/ROSCO_IO.f90 b/ROSCO/ROSCO/src/ROSCO_IO.f90
index 1744a3859..d495263b5 100644
--- a/ROSCO/ROSCO/src/ROSCO_IO.f90
+++ b/ROSCO/ROSCO/src/ROSCO_IO.f90
@@ -1,5 +1,5 @@
 ! ROSCO IO
-! This file is automatically generated by write_registry.py using ROSCO v2.5.0
+! This file is automatically generated by write_registry.py using ROSCO v2.6.0
 ! For any modification to the registry, please edit the rosco_types.yaml accordingly
  
 MODULE ROSCO_IO
@@ -11,14 +11,15 @@ MODULE ROSCO_IO
 
 CONTAINS
 
-SUBROUTINE WriteRestartFile(LocalVar, CntrPar, objInst, RootName, size_avcOUTNAME)
+SUBROUTINE WriteRestartFile(LocalVar, CntrPar, ErrVar, objInst, RootName, size_avcOUTNAME)
     TYPE(LocalVariables), INTENT(IN)                :: LocalVar
     TYPE(ControlParameters), INTENT(INOUT)          :: CntrPar
     TYPE(ObjectInstances), INTENT(INOUT)            :: objInst
+    TYPE(ErrorVariables), INTENT(INOUT)             :: ErrVar
     INTEGER(IntKi), INTENT(IN)                      :: size_avcOUTNAME
     CHARACTER(size_avcOUTNAME-1), INTENT(IN)        :: RootName 
     
-    INTEGER(IntKi), PARAMETER    :: Un = 87             ! I/O unit for pack/unpack (checkpoint & restart)
+    INTEGER(IntKi)               :: Un                  ! I/O unit for pack/unpack (checkpoint & restart)
     INTEGER(IntKi)               :: I                   ! Generic index.
     CHARACTER(128)               :: InFile              ! Input checkpoint file
     INTEGER(IntKi)               :: ErrStat
@@ -26,7 +27,8 @@ SUBROUTINE WriteRestartFile(LocalVar, CntrPar, objInst, RootName, size_avcOUTNAM
     CHARACTER(128)               :: n_t_global          ! timestep number as a string
 
     WRITE(n_t_global, '(I0.0)' ) NINT(LocalVar%Time/LocalVar%DT)
-    InFile = RootName(1:size_avcOUTNAME-5)//TRIM( n_t_global )//'.RO.chkp'
+    InFile = TRIM(RootName)//TRIM( n_t_global )//'.RO.chkp'
+    CALL GetNewUnit(Un, ErrVar)
     OPEN(unit=Un, FILE=TRIM(InFile), STATUS='UNKNOWN', FORM='UNFORMATTED' , ACCESS='STREAM', IOSTAT=ErrStat, ACTION='WRITE' )
 
     IF ( ErrStat /= 0 ) THEN
@@ -39,7 +41,8 @@ SUBROUTINE WriteRestartFile(LocalVar, CntrPar, objInst, RootName, size_avcOUTNAM
         WRITE( Un, IOSTAT=ErrStat) LocalVar%VS_GenPwr
         WRITE( Un, IOSTAT=ErrStat) LocalVar%GenSpeed
         WRITE( Un, IOSTAT=ErrStat) LocalVar%RotSpeed
-        WRITE( Un, IOSTAT=ErrStat) LocalVar%Y_M
+        WRITE( Un, IOSTAT=ErrStat) LocalVar%NacHeading
+        WRITE( Un, IOSTAT=ErrStat) LocalVar%NacVane
         WRITE( Un, IOSTAT=ErrStat) LocalVar%HorWindV
         WRITE( Un, IOSTAT=ErrStat) LocalVar%rootMOOP(1)
         WRITE( Un, IOSTAT=ErrStat) LocalVar%rootMOOP(2)
@@ -94,6 +97,9 @@ SUBROUTINE WriteRestartFile(LocalVar, CntrPar, objInst, RootName, size_avcOUTNAM
         WRITE( Un, IOSTAT=ErrStat) LocalVar%PitCom(1)
         WRITE( Un, IOSTAT=ErrStat) LocalVar%PitCom(2)
         WRITE( Un, IOSTAT=ErrStat) LocalVar%PitCom(3)
+        WRITE( Un, IOSTAT=ErrStat) LocalVar%PitComAct(1)
+        WRITE( Un, IOSTAT=ErrStat) LocalVar%PitComAct(2)
+        WRITE( Un, IOSTAT=ErrStat) LocalVar%PitComAct(3)
         WRITE( Un, IOSTAT=ErrStat) LocalVar%SS_DelOmegaF
         WRITE( Un, IOSTAT=ErrStat) LocalVar%TestType
         WRITE( Un, IOSTAT=ErrStat) LocalVar%VS_MaxTq
@@ -110,11 +116,6 @@ SUBROUTINE WriteRestartFile(LocalVar, CntrPar, objInst, RootName, size_avcOUTNAM
         WRITE( Un, IOSTAT=ErrStat) LocalVar%WE_VwI
         WRITE( Un, IOSTAT=ErrStat) LocalVar%WE_VwIdot
         WRITE( Un, IOSTAT=ErrStat) LocalVar%VS_LastGenTrqF
-        WRITE( Un, IOSTAT=ErrStat) LocalVar%Y_AccErr
-        WRITE( Un, IOSTAT=ErrStat) LocalVar%Y_ErrLPFFast
-        WRITE( Un, IOSTAT=ErrStat) LocalVar%Y_ErrLPFSlow
-        WRITE( Un, IOSTAT=ErrStat) LocalVar%Y_MErr
-        WRITE( Un, IOSTAT=ErrStat) LocalVar%Y_YawEndT
         WRITE( Un, IOSTAT=ErrStat) LocalVar%SD
         WRITE( Un, IOSTAT=ErrStat) LocalVar%Fl_PitCom
         WRITE( Un, IOSTAT=ErrStat) LocalVar%NACIMU_FA_AccF
@@ -186,17 +187,18 @@ SUBROUTINE WriteRestartFile(LocalVar, CntrPar, objInst, RootName, size_avcOUTNAM
 END SUBROUTINE WriteRestartFile
 
  
-SUBROUTINE ReadRestartFile(avrSWAP, LocalVar, CntrPar, objInst, PerfData, RootName, size_avcOUTNAME, ErrVar)
+SUBROUTINE ReadRestartFile(avrSWAP, LocalVar, CntrPar, objInst, PerfData, RootName, size_avcOUTNAME, zmqVar, ErrVar)
     TYPE(LocalVariables), INTENT(INOUT)             :: LocalVar
     TYPE(ControlParameters), INTENT(INOUT)          :: CntrPar
     TYPE(ObjectInstances), INTENT(INOUT)            :: objInst
     TYPE(PerformanceData), INTENT(INOUT)            :: PerfData
     TYPE(ErrorVariables), INTENT(INOUT)             :: ErrVar
+    TYPE(ZMQ_Variables), INTENT(INOUT)              :: zmqVar
     REAL(C_FLOAT), INTENT(IN)                       :: avrSWAP(*)
     INTEGER(IntKi), INTENT(IN)                      :: size_avcOUTNAME
     CHARACTER(size_avcOUTNAME-1), INTENT(IN)        :: RootName 
     
-    INTEGER(IntKi), PARAMETER    :: Un = 87             ! I/O unit for pack/unpack (checkpoint & restart)
+    INTEGER(IntKi)               :: Un                  ! I/O unit for pack/unpack (checkpoint & restart)
     INTEGER(IntKi)               :: I                   ! Generic index.
     CHARACTER(128)               :: InFile              ! Input checkpoint file
     INTEGER(IntKi)               :: ErrStat
@@ -204,7 +206,8 @@ SUBROUTINE ReadRestartFile(avrSWAP, LocalVar, CntrPar, objInst, PerfData, RootNa
     CHARACTER(128)               :: n_t_global          ! timestep number as a string
 
     WRITE(n_t_global, '(I0.0)' ) NINT(avrSWAP(2)/avrSWAP(3))
-    InFile = RootName(1:size_avcOUTNAME-5)//TRIM( n_t_global )//'.RO.chkp'
+    InFile = TRIM(RootName)//TRIM( n_t_global )//'.RO.chkp'
+    CALL GetNewUnit(Un, ErrVar)
     OPEN(unit=Un, FILE=TRIM(InFile), STATUS='UNKNOWN', FORM='UNFORMATTED' , ACCESS='STREAM', IOSTAT=ErrStat, ACTION='READ' )
 
     IF ( ErrStat /= 0 ) THEN
@@ -217,7 +220,8 @@ SUBROUTINE ReadRestartFile(avrSWAP, LocalVar, CntrPar, objInst, PerfData, RootNa
         READ( Un, IOSTAT=ErrStat) LocalVar%VS_GenPwr
         READ( Un, IOSTAT=ErrStat) LocalVar%GenSpeed
         READ( Un, IOSTAT=ErrStat) LocalVar%RotSpeed
-        READ( Un, IOSTAT=ErrStat) LocalVar%Y_M
+        READ( Un, IOSTAT=ErrStat) LocalVar%NacHeading
+        READ( Un, IOSTAT=ErrStat) LocalVar%NacVane
         READ( Un, IOSTAT=ErrStat) LocalVar%HorWindV
         READ( Un, IOSTAT=ErrStat) LocalVar%rootMOOP(1)
         READ( Un, IOSTAT=ErrStat) LocalVar%rootMOOP(2)
@@ -272,6 +276,9 @@ SUBROUTINE ReadRestartFile(avrSWAP, LocalVar, CntrPar, objInst, PerfData, RootNa
         READ( Un, IOSTAT=ErrStat) LocalVar%PitCom(1)
         READ( Un, IOSTAT=ErrStat) LocalVar%PitCom(2)
         READ( Un, IOSTAT=ErrStat) LocalVar%PitCom(3)
+        READ( Un, IOSTAT=ErrStat) LocalVar%PitComAct(1)
+        READ( Un, IOSTAT=ErrStat) LocalVar%PitComAct(2)
+        READ( Un, IOSTAT=ErrStat) LocalVar%PitComAct(3)
         READ( Un, IOSTAT=ErrStat) LocalVar%SS_DelOmegaF
         READ( Un, IOSTAT=ErrStat) LocalVar%TestType
         READ( Un, IOSTAT=ErrStat) LocalVar%VS_MaxTq
@@ -288,11 +295,6 @@ SUBROUTINE ReadRestartFile(avrSWAP, LocalVar, CntrPar, objInst, PerfData, RootNa
         READ( Un, IOSTAT=ErrStat) LocalVar%WE_VwI
         READ( Un, IOSTAT=ErrStat) LocalVar%WE_VwIdot
         READ( Un, IOSTAT=ErrStat) LocalVar%VS_LastGenTrqF
-        READ( Un, IOSTAT=ErrStat) LocalVar%Y_AccErr
-        READ( Un, IOSTAT=ErrStat) LocalVar%Y_ErrLPFFast
-        READ( Un, IOSTAT=ErrStat) LocalVar%Y_ErrLPFSlow
-        READ( Un, IOSTAT=ErrStat) LocalVar%Y_MErr
-        READ( Un, IOSTAT=ErrStat) LocalVar%Y_YawEndT
         READ( Un, IOSTAT=ErrStat) LocalVar%SD
         READ( Un, IOSTAT=ErrStat) LocalVar%Fl_PitCom
         READ( Un, IOSTAT=ErrStat) LocalVar%NACIMU_FA_AccF
@@ -363,27 +365,28 @@ SUBROUTINE ReadRestartFile(avrSWAP, LocalVar, CntrPar, objInst, PerfData, RootNa
         Close ( Un )
     ENDIF
     ! Read Parameter files
-    CALL ReadControlParameterFileSub(CntrPar, LocalVar%ACC_INFILE, LocalVar%ACC_INFILE_SIZE, ErrVar)
+    CALL ReadControlParameterFileSub(CntrPar, zmqVar, LocalVar%ACC_INFILE, LocalVar%ACC_INFILE_SIZE, ErrVar)
     IF (CntrPar%WE_Mode > 0) THEN
         CALL READCpFile(CntrPar, PerfData, ErrVar)
     ENDIF
 END SUBROUTINE ReadRestartFile
 
  
-SUBROUTINE Debug(LocalVar, CntrPar, DebugVar, avrSWAP, RootName, size_avcOUTNAME)
+SUBROUTINE Debug(LocalVar, CntrPar, DebugVar, ErrVar, avrSWAP, RootName, size_avcOUTNAME)
 ! Debug routine, defines what gets printed to DEBUG.dbg if LoggingLevel = 1
 
     TYPE(ControlParameters), INTENT(IN) :: CntrPar
     TYPE(LocalVariables), INTENT(IN) :: LocalVar
     TYPE(DebugVariables), INTENT(IN) :: DebugVar
+    TYPE(ErrorVariables),       INTENT(INOUT)   :: ErrVar
 
     INTEGER(IntKi), INTENT(IN)      :: size_avcOUTNAME
     INTEGER(IntKi)                  :: I , nDebugOuts, nLocalVars   ! Generic index.
     CHARACTER(1), PARAMETER         :: Tab = CHAR(9)                ! The tab character.
     CHARACTER(29), PARAMETER        :: FmtDat = "(F20.5,TR5,99(ES20.5E2,TR5:))"   ! The format of the debugging data
-    INTEGER(IntKi), PARAMETER       :: UnDb = 85                    ! I/O unit for the debugging information
-    INTEGER(IntKi), PARAMETER       :: UnDb2 = 86                   ! I/O unit for the debugging information, avrSWAP
-    INTEGER(IntKi), PARAMETER       :: UnDb3 = 87                   ! I/O unit for the debugging information, avrSWAP
+    INTEGER(IntKi), SAVE            :: UnDb                         ! I/O unit for the debugging information
+    INTEGER(IntKi), SAVE            :: UnDb2                        ! I/O unit for the debugging information, avrSWAP
+    INTEGER(IntKi), SAVE            :: UnDb3                        ! I/O unit for the debugging information, avrSWAP
     REAL(ReKi), INTENT(INOUT)       :: avrSWAP(*)                   ! The swap array, used to pass data to, and receive data from, the DLL controller.
     CHARACTER(size_avcOUTNAME-1), INTENT(IN) :: RootName            ! a Fortran version of the input C string (not considered an array here)    [subtract 1 for the C null-character]
     CHARACTER(200)                  :: Version                      ! git version of ROSCO
@@ -393,7 +396,7 @@ SUBROUTINE Debug(LocalVar, CntrPar, DebugVar, avrSWAP, RootName, size_avcOUTNAME
     CHARACTER(15), ALLOCATABLE      :: LocalVarOutStrings(:)
     REAL(DbKi), ALLOCATABLE         :: LocalVarOutData(:)
  
-    nDebugOuts = 19
+    nDebugOuts = 24
     Allocate(DebugOutData(nDebugOuts))
     Allocate(DebugOutStrings(nDebugOuts))
     Allocate(DebugOutUnits(nDebugOuts))
@@ -416,15 +419,22 @@ SUBROUTINE Debug(LocalVar, CntrPar, DebugVar, avrSWAP, RootName, size_avcOUTNAME
     DebugOutData(17) = DebugVar%axisYaw_1P
     DebugOutData(18) = DebugVar%axisTilt_2P
     DebugOutData(19) = DebugVar%axisYaw_2P
+    DebugOutData(20) = DebugVar%YawRateCom
+    DebugOutData(21) = DebugVar%NacHeadingTarget
+    DebugOutData(22) = DebugVar%NacVaneOffset
+    DebugOutData(23) = DebugVar%Yaw_err
+    DebugOutData(24) = DebugVar%YawState
     DebugOutStrings = [CHARACTER(15) ::  'WE_Cp', 'WE_b', 'WE_w', 'WE_t', 'WE_Vm', & 
                                       'WE_Vt', 'WE_Vw', 'WE_lambda', 'PC_PICommand', 'GenSpeedF', & 
                                       'RotSpeedF', 'NacIMU_FA_AccF', 'FA_AccF', 'Fl_PitCom', 'PC_MinPit', & 
-                                      'axisTilt_1P', 'axisYaw_1P', 'axisTilt_2P', 'axisYaw_2P']
+                                      'axisTilt_1P', 'axisYaw_1P', 'axisTilt_2P', 'axisYaw_2P', 'YawRateCom', & 
+                                      'NacHeadingTarget', 'NacVaneOffset', 'Yaw_err', 'YawState']
     DebugOutUnits = [CHARACTER(15) ::  '[-]', '[-]', '[-]', '[-]', '[m/s]', & 
                                       '[m/s]', '[m/s]', '[rad]', '[rad]', '[rad/s]', & 
                                       '[rad/s]', '[rad/s]', '[m/s]', '[rad]', '[rad]', & 
-                                      '', '', '', '']
-    nLocalVars = 72
+                                      '', '', '', '', '[rad/s]', & 
+                                      '[rad]', '[rad]', '[rad]', '']
+    nLocalVars = 69
     Allocate(LocalVarOutData(nLocalVars))
     Allocate(LocalVarOutStrings(nLocalVars))
     LocalVarOutData(1) = LocalVar%iStatus
@@ -433,128 +443,126 @@ SUBROUTINE Debug(LocalVar, CntrPar, DebugVar, avrSWAP, RootName, size_avcOUTNAME
     LocalVarOutData(4) = LocalVar%VS_GenPwr
     LocalVarOutData(5) = LocalVar%GenSpeed
     LocalVarOutData(6) = LocalVar%RotSpeed
-    LocalVarOutData(7) = LocalVar%Y_M
-    LocalVarOutData(8) = LocalVar%HorWindV
-    LocalVarOutData(9) = LocalVar%rootMOOP(1)
-    LocalVarOutData(10) = LocalVar%rootMOOPF(1)
-    LocalVarOutData(11) = LocalVar%BlPitch(1)
-    LocalVarOutData(12) = LocalVar%Azimuth
-    LocalVarOutData(13) = LocalVar%NumBl
-    LocalVarOutData(14) = LocalVar%FA_Acc
-    LocalVarOutData(15) = LocalVar%NacIMU_FA_Acc
-    LocalVarOutData(16) = LocalVar%FA_AccHPF
-    LocalVarOutData(17) = LocalVar%FA_AccHPFI
-    LocalVarOutData(18) = LocalVar%FA_PitCom(1)
-    LocalVarOutData(19) = LocalVar%RotSpeedF
-    LocalVarOutData(20) = LocalVar%GenSpeedF
-    LocalVarOutData(21) = LocalVar%GenTq
-    LocalVarOutData(22) = LocalVar%GenTqMeas
-    LocalVarOutData(23) = LocalVar%GenArTq
-    LocalVarOutData(24) = LocalVar%GenBrTq
-    LocalVarOutData(25) = LocalVar%IPC_PitComF(1)
-    LocalVarOutData(26) = LocalVar%PC_KP
-    LocalVarOutData(27) = LocalVar%PC_KI
-    LocalVarOutData(28) = LocalVar%PC_KD
-    LocalVarOutData(29) = LocalVar%PC_TF
-    LocalVarOutData(30) = LocalVar%PC_MaxPit
-    LocalVarOutData(31) = LocalVar%PC_MinPit
-    LocalVarOutData(32) = LocalVar%PC_PitComT
-    LocalVarOutData(33) = LocalVar%PC_PitComT_Last
-    LocalVarOutData(34) = LocalVar%PC_PitComTF
-    LocalVarOutData(35) = LocalVar%PC_PitComT_IPC(1)
-    LocalVarOutData(36) = LocalVar%PC_PwrErr
-    LocalVarOutData(37) = LocalVar%PC_SpdErr
-    LocalVarOutData(38) = LocalVar%IPC_AxisTilt_1P
-    LocalVarOutData(39) = LocalVar%IPC_AxisYaw_1P
-    LocalVarOutData(40) = LocalVar%IPC_AxisTilt_2P
-    LocalVarOutData(41) = LocalVar%IPC_AxisYaw_2P
-    LocalVarOutData(42) = LocalVar%IPC_KI(1)
-    LocalVarOutData(43) = LocalVar%IPC_KP(1)
-    LocalVarOutData(44) = LocalVar%PC_State
-    LocalVarOutData(45) = LocalVar%PitCom(1)
-    LocalVarOutData(46) = LocalVar%SS_DelOmegaF
-    LocalVarOutData(47) = LocalVar%TestType
-    LocalVarOutData(48) = LocalVar%VS_MaxTq
-    LocalVarOutData(49) = LocalVar%VS_LastGenTrq
-    LocalVarOutData(50) = LocalVar%VS_LastGenPwr
-    LocalVarOutData(51) = LocalVar%VS_MechGenPwr
-    LocalVarOutData(52) = LocalVar%VS_SpdErrAr
-    LocalVarOutData(53) = LocalVar%VS_SpdErrBr
-    LocalVarOutData(54) = LocalVar%VS_SpdErr
-    LocalVarOutData(55) = LocalVar%VS_State
-    LocalVarOutData(56) = LocalVar%VS_Rgn3Pitch
-    LocalVarOutData(57) = LocalVar%WE_Vw
-    LocalVarOutData(58) = LocalVar%WE_Vw_F
-    LocalVarOutData(59) = LocalVar%WE_VwI
-    LocalVarOutData(60) = LocalVar%WE_VwIdot
-    LocalVarOutData(61) = LocalVar%VS_LastGenTrqF
-    LocalVarOutData(62) = LocalVar%Y_AccErr
-    LocalVarOutData(63) = LocalVar%Y_ErrLPFFast
-    LocalVarOutData(64) = LocalVar%Y_ErrLPFSlow
-    LocalVarOutData(65) = LocalVar%Y_MErr
-    LocalVarOutData(66) = LocalVar%Y_YawEndT
-    LocalVarOutData(67) = LocalVar%Fl_PitCom
-    LocalVarOutData(68) = LocalVar%NACIMU_FA_AccF
-    LocalVarOutData(69) = LocalVar%FA_AccF
-    LocalVarOutData(70) = LocalVar%Flp_Angle(1)
-    LocalVarOutData(71) = LocalVar%RootMyb_Last(1)
-    LocalVarOutData(72) = LocalVar%ACC_INFILE_SIZE
+    LocalVarOutData(7) = LocalVar%NacHeading
+    LocalVarOutData(8) = LocalVar%NacVane
+    LocalVarOutData(9) = LocalVar%HorWindV
+    LocalVarOutData(10) = LocalVar%rootMOOP(1)
+    LocalVarOutData(11) = LocalVar%rootMOOPF(1)
+    LocalVarOutData(12) = LocalVar%BlPitch(1)
+    LocalVarOutData(13) = LocalVar%Azimuth
+    LocalVarOutData(14) = LocalVar%NumBl
+    LocalVarOutData(15) = LocalVar%FA_Acc
+    LocalVarOutData(16) = LocalVar%NacIMU_FA_Acc
+    LocalVarOutData(17) = LocalVar%FA_AccHPF
+    LocalVarOutData(18) = LocalVar%FA_AccHPFI
+    LocalVarOutData(19) = LocalVar%FA_PitCom(1)
+    LocalVarOutData(20) = LocalVar%RotSpeedF
+    LocalVarOutData(21) = LocalVar%GenSpeedF
+    LocalVarOutData(22) = LocalVar%GenTq
+    LocalVarOutData(23) = LocalVar%GenTqMeas
+    LocalVarOutData(24) = LocalVar%GenArTq
+    LocalVarOutData(25) = LocalVar%GenBrTq
+    LocalVarOutData(26) = LocalVar%IPC_PitComF(1)
+    LocalVarOutData(27) = LocalVar%PC_KP
+    LocalVarOutData(28) = LocalVar%PC_KI
+    LocalVarOutData(29) = LocalVar%PC_KD
+    LocalVarOutData(30) = LocalVar%PC_TF
+    LocalVarOutData(31) = LocalVar%PC_MaxPit
+    LocalVarOutData(32) = LocalVar%PC_MinPit
+    LocalVarOutData(33) = LocalVar%PC_PitComT
+    LocalVarOutData(34) = LocalVar%PC_PitComT_Last
+    LocalVarOutData(35) = LocalVar%PC_PitComTF
+    LocalVarOutData(36) = LocalVar%PC_PitComT_IPC(1)
+    LocalVarOutData(37) = LocalVar%PC_PwrErr
+    LocalVarOutData(38) = LocalVar%PC_SpdErr
+    LocalVarOutData(39) = LocalVar%IPC_AxisTilt_1P
+    LocalVarOutData(40) = LocalVar%IPC_AxisYaw_1P
+    LocalVarOutData(41) = LocalVar%IPC_AxisTilt_2P
+    LocalVarOutData(42) = LocalVar%IPC_AxisYaw_2P
+    LocalVarOutData(43) = LocalVar%IPC_KI(1)
+    LocalVarOutData(44) = LocalVar%IPC_KP(1)
+    LocalVarOutData(45) = LocalVar%PC_State
+    LocalVarOutData(46) = LocalVar%PitCom(1)
+    LocalVarOutData(47) = LocalVar%PitComAct(1)
+    LocalVarOutData(48) = LocalVar%SS_DelOmegaF
+    LocalVarOutData(49) = LocalVar%TestType
+    LocalVarOutData(50) = LocalVar%VS_MaxTq
+    LocalVarOutData(51) = LocalVar%VS_LastGenTrq
+    LocalVarOutData(52) = LocalVar%VS_LastGenPwr
+    LocalVarOutData(53) = LocalVar%VS_MechGenPwr
+    LocalVarOutData(54) = LocalVar%VS_SpdErrAr
+    LocalVarOutData(55) = LocalVar%VS_SpdErrBr
+    LocalVarOutData(56) = LocalVar%VS_SpdErr
+    LocalVarOutData(57) = LocalVar%VS_State
+    LocalVarOutData(58) = LocalVar%VS_Rgn3Pitch
+    LocalVarOutData(59) = LocalVar%WE_Vw
+    LocalVarOutData(60) = LocalVar%WE_Vw_F
+    LocalVarOutData(61) = LocalVar%WE_VwI
+    LocalVarOutData(62) = LocalVar%WE_VwIdot
+    LocalVarOutData(63) = LocalVar%VS_LastGenTrqF
+    LocalVarOutData(64) = LocalVar%Fl_PitCom
+    LocalVarOutData(65) = LocalVar%NACIMU_FA_AccF
+    LocalVarOutData(66) = LocalVar%FA_AccF
+    LocalVarOutData(67) = LocalVar%Flp_Angle(1)
+    LocalVarOutData(68) = LocalVar%RootMyb_Last(1)
+    LocalVarOutData(69) = LocalVar%ACC_INFILE_SIZE
     LocalVarOutStrings = [CHARACTER(15) ::  'iStatus', 'Time', 'DT', 'VS_GenPwr', 'GenSpeed', & 
-                                      'RotSpeed', 'Y_M', 'HorWindV', 'rootMOOP', 'rootMOOPF', & 
-                                      'BlPitch', 'Azimuth', 'NumBl', 'FA_Acc', 'NacIMU_FA_Acc', & 
-                                      'FA_AccHPF', 'FA_AccHPFI', 'FA_PitCom', 'RotSpeedF', 'GenSpeedF', & 
-                                      'GenTq', 'GenTqMeas', 'GenArTq', 'GenBrTq', 'IPC_PitComF', & 
-                                      'PC_KP', 'PC_KI', 'PC_KD', 'PC_TF', 'PC_MaxPit', & 
-                                      'PC_MinPit', 'PC_PitComT', 'PC_PitComT_Last', 'PC_PitComTF', 'PC_PitComT_IPC', & 
-                                      'PC_PwrErr', 'PC_SpdErr', 'IPC_AxisTilt_1P', 'IPC_AxisYaw_1P', 'IPC_AxisTilt_2P', & 
-                                      'IPC_AxisYaw_2P', 'IPC_KI', 'IPC_KP', 'PC_State', 'PitCom', & 
-                                      'SS_DelOmegaF', 'TestType', 'VS_MaxTq', 'VS_LastGenTrq', 'VS_LastGenPwr', & 
-                                      'VS_MechGenPwr', 'VS_SpdErrAr', 'VS_SpdErrBr', 'VS_SpdErr', 'VS_State', & 
-                                      'VS_Rgn3Pitch', 'WE_Vw', 'WE_Vw_F', 'WE_VwI', 'WE_VwIdot', & 
-                                      'VS_LastGenTrqF', 'Y_AccErr', 'Y_ErrLPFFast', 'Y_ErrLPFSlow', 'Y_MErr', & 
-                                      'Y_YawEndT', 'Fl_PitCom', 'NACIMU_FA_AccF', 'FA_AccF', 'Flp_Angle', & 
-                                      'RootMyb_Last', 'ACC_INFILE_SIZE']
+                                      'RotSpeed', 'NacHeading', 'NacVane', 'HorWindV', 'rootMOOP', & 
+                                      'rootMOOPF', 'BlPitch', 'Azimuth', 'NumBl', 'FA_Acc', & 
+                                      'NacIMU_FA_Acc', 'FA_AccHPF', 'FA_AccHPFI', 'FA_PitCom', 'RotSpeedF', & 
+                                      'GenSpeedF', 'GenTq', 'GenTqMeas', 'GenArTq', 'GenBrTq', & 
+                                      'IPC_PitComF', 'PC_KP', 'PC_KI', 'PC_KD', 'PC_TF', & 
+                                      'PC_MaxPit', 'PC_MinPit', 'PC_PitComT', 'PC_PitComT_Last', 'PC_PitComTF', & 
+                                      'PC_PitComT_IPC', 'PC_PwrErr', 'PC_SpdErr', 'IPC_AxisTilt_1P', 'IPC_AxisYaw_1P', & 
+                                      'IPC_AxisTilt_2P', 'IPC_AxisYaw_2P', 'IPC_KI', 'IPC_KP', 'PC_State', & 
+                                      'PitCom', 'PitComAct', 'SS_DelOmegaF', 'TestType', 'VS_MaxTq', & 
+                                      'VS_LastGenTrq', 'VS_LastGenPwr', 'VS_MechGenPwr', 'VS_SpdErrAr', 'VS_SpdErrBr', & 
+                                      'VS_SpdErr', 'VS_State', 'VS_Rgn3Pitch', 'WE_Vw', 'WE_Vw_F', & 
+                                      'WE_VwI', 'WE_VwIdot', 'VS_LastGenTrqF', 'Fl_PitCom', 'NACIMU_FA_AccF', & 
+                                      'FA_AccF', 'Flp_Angle', 'RootMyb_Last', 'ACC_INFILE_SIZE']
     ! Initialize debug file
     IF ((LocalVar%iStatus == 0) .OR. (LocalVar%iStatus == -9))  THEN ! .TRUE. if we're on the first call to the DLL
         IF (CntrPar%LoggingLevel > 0) THEN
-            OPEN(unit=UnDb, FILE=RootName(1: size_avcOUTNAME-5)//'RO.dbg')
+            CALL GetNewUnit(UnDb, ErrVar)
+            OPEN(unit=UnDb, FILE=TRIM(RootName)//'.RO.dbg')
             WRITE(UnDb, *)  'Generated on '//CurDate()//' at '//CurTime()//' using ROSCO-'//TRIM(rosco_version)
             WRITE(UnDb, '(99(a20,TR5:))') 'Time',   DebugOutStrings
             WRITE(UnDb, '(99(a20,TR5:))') '(sec)',  DebugOutUnits
         END IF
 
         IF (CntrPar%LoggingLevel > 1) THEN
-            OPEN(unit=UnDb2, FILE=RootName(1: size_avcOUTNAME-5)//'RO.dbg2')
+            CALL GetNewUnit(UnDb2, ErrVar)
+            OPEN(unit=UnDb2, FILE=TRIM(RootName)//'.RO.dbg2')
             WRITE(UnDb2, *)  'Generated on '//CurDate()//' at '//CurTime()//' using ROSCO-'//TRIM(rosco_version)
             WRITE(UnDb2, '(99(a20,TR5:))') 'Time',   LocalVarOutStrings
             WRITE(UnDb2, '(99(a20,TR5:))')
         END IF
 
         IF (CntrPar%LoggingLevel > 2) THEN
-            OPEN(unit=UnDb3, FILE=RootName(1: size_avcOUTNAME-5)//'RO.dbg3')
+            CALL GetNewUnit(UnDb3, ErrVar)
+            OPEN(unit=UnDb3, FILE=TRIM(RootName)//'.RO.dbg3')
             WRITE(UnDb3,'(/////)')
             WRITE(UnDb3,'(A,85("'//Tab//'AvrSWAP(",I2,")"))')  'LocalVar%Time ', (i,i=1, 85)
             WRITE(UnDb3,'(A,85("'//Tab//'(-)"))')  '(s)'
         END IF
-    ELSE
+    END IF
         ! Print simulation status, every 10 seconds
-        IF (MODULO(LocalVar%Time, 10.0_DbKi) == 0) THEN
-            WRITE(*, 100) LocalVar%GenSpeedF*RPS2RPM, LocalVar%BlPitch(1)*R2D, avrSWAP(15)/1000.0, LocalVar%WE_Vw
-            100 FORMAT('Generator speed: ', f6.1, ' RPM, Pitch angle: ', f5.1, ' deg, Power: ', f7.1, ' kW, Est. wind Speed: ', f5.1, ' m/s')
-        END IF
+    IF (MODULO(LocalVar%Time, 10.0_DbKi) == 0) THEN
+        WRITE(*, 100) LocalVar%GenSpeedF*RPS2RPM, LocalVar%BlPitch(1)*R2D, avrSWAP(15)/1000.0, LocalVar%WE_Vw
+        100 FORMAT('Generator speed: ', f6.1, ' RPM, Pitch angle: ', f5.1, ' deg, Power: ', f7.1, ' kW, Est. wind Speed: ', f5.1, ' m/s')
+    END IF
 
-        ! Write debug files
-        IF(CntrPar%LoggingLevel > 0) THEN
-            WRITE (UnDb, FmtDat)  LocalVar%Time, DebugOutData
-        END IF
+    ! Write debug files
+    IF(CntrPar%LoggingLevel > 0) THEN
+        WRITE (UnDb, FmtDat)  LocalVar%Time, DebugOutData
+    END IF
 
-        IF(CntrPar%LoggingLevel > 1) THEN
-            WRITE (UnDb2, FmtDat)  LocalVar%Time, LocalVarOutData
-        END IF
+    IF(CntrPar%LoggingLevel > 1) THEN
+        WRITE (UnDb2, FmtDat)  LocalVar%Time, LocalVarOutData
+    END IF
 
-        IF(CntrPar%LoggingLevel > 2) THEN
-            WRITE (UnDb3, FmtDat)    LocalVar%Time, avrSWAP(1: 85)
-        END IF
+    IF(CntrPar%LoggingLevel > 2) THEN
+        WRITE (UnDb3, FmtDat)    LocalVar%Time, avrSWAP(1: 85)
     END IF
 
 END SUBROUTINE Debug
diff --git a/ROSCO/ROSCO/src/ROSCO_Types.f90 b/ROSCO/ROSCO/src/ROSCO_Types.f90
index ef2fa0b19..46c26a098 100644
--- a/ROSCO/ROSCO/src/ROSCO_Types.f90
+++ b/ROSCO/ROSCO/src/ROSCO_Types.f90
@@ -1,5 +1,5 @@
 ! ROSCO Registry
-! This file is automatically generated by write_registry.py using ROSCO v2.5.0
+! This file is automatically generated by write_registry.py using ROSCO v2.6.0
 ! For any modification to the registry, please edit the rosco_types.yaml accordingly
  
 MODULE ROSCO_Types
@@ -19,7 +19,9 @@ MODULE ROSCO_Types
     REAL(DbKi)                    :: F_WECornerFreq              ! Corner frequency (-3dB point) in the first order low pass filter for the wind speed estimate [rad/s]
     REAL(DbKi), DIMENSION(:), ALLOCATABLE     :: F_FlCornerFreq              ! Corner frequency (-3dB point) in the second order low pass filter of the tower-top fore-aft motion for floating feedback control [rad/s].
     REAL(DbKi)                    :: F_FlHighPassFreq            ! Natural frequency of first-roder high-pass filter for nacelle fore-aft motion [rad/s].
+    REAL(DbKi)                    :: F_YawErr                    ! Corner low pass filter corner frequency for yaw controller [rad/s].
     REAL(DbKi), DIMENSION(:), ALLOCATABLE     :: F_FlpCornerFreq             ! Corner frequency (-3dB point) in the second order low pass filter of the blade root bending moment for flap control [rad/s].
+    INTEGER(IntKi)                :: TD_Mode                     ! Tower damper mode (0- no tower damper, 1- feed back translational nacelle accelleration to pitch angle
     REAL(DbKi)                    :: FA_HPFCornerFreq            ! Corner frequency (-3dB point) in the high-pass filter on the fore-aft acceleration signal [rad/s]
     REAL(DbKi)                    :: FA_IntSat                   ! Integrator saturation (maximum signal amplitude contrbution to pitch from FA damper), [rad]
     REAL(DbKi)                    :: FA_KI                       ! Integral gain for the fore-aft tower damper controller, -1 = off / >0 = on [rad s/m]
@@ -75,18 +77,14 @@ MODULE ROSCO_Types
     INTEGER(IntKi)                :: WE_FOPoles_N                ! Number of first-order system poles used in EKF
     REAL(DbKi), DIMENSION(:), ALLOCATABLE     :: WE_FOPoles_v                ! Wind speeds corresponding to first-order system poles [m/s]
     REAL(DbKi), DIMENSION(:), ALLOCATABLE     :: WE_FOPoles                  ! First order system poles
-    INTEGER(IntKi)                :: Y_ControlMode               ! Yaw control mode {0 - no yaw control, 1 - yaw rate control, 2 - yaw-by-IPC}
-    REAL(DbKi)                    :: Y_ErrThresh                 ! Error threshold [rad]. Turbine begins to yaw when it passes this. (104.71975512) -- 1.745329252
-    REAL(DbKi)                    :: Y_IPC_IntSat                ! Integrator saturation (maximum signal amplitude contrbution to pitch from yaw-by-IPC)
-    INTEGER(IntKi)                :: Y_IPC_n                     ! Number of controller gains (yaw-by-IPC)
-    REAL(DbKi), DIMENSION(:), ALLOCATABLE     :: Y_IPC_KP                    ! Yaw-by-IPC proportional controller gain Kp
-    REAL(DbKi), DIMENSION(:), ALLOCATABLE     :: Y_IPC_KI                    ! Yaw-by-IPC integral controller gain Ki
-    REAL(DbKi)                    :: Y_IPC_omegaLP               ! Low-pass filter corner frequency for the Yaw-by-IPC controller to filtering the yaw alignment error, [rad/s].
-    REAL(DbKi)                    :: Y_IPC_zetaLP                ! Low-pass filter damping factor for the Yaw-by-IPC controller to filtering the yaw alignment error, [-].
-    REAL(DbKi)                    :: Y_MErrSet                   ! Yaw alignment error, setpoint [rad]
-    REAL(DbKi)                    :: Y_omegaLPFast               ! Corner frequency fast low pass filter, 1.0 [Hz]
-    REAL(DbKi)                    :: Y_omegaLPSlow               ! Corner frequency slow low pass filter, 1/60 [Hz]
+    INTEGER(IntKi)                :: Y_ControlMode               ! Yaw control mode {0 - no yaw control, 1 - yaw rate control}
+    REAL(DbKi)                    :: Y_uSwitch                   ! Wind speed to switch between Y_ErrThresh. If zero, only the first value of Y_ErrThresh is used [m/s]
+    REAL(DbKi), DIMENSION(:), ALLOCATABLE     :: Y_ErrThresh                 ! Error threshold [rad]. Turbine begins to yaw when it passes this
     REAL(DbKi)                    :: Y_Rate                      ! Yaw rate [rad/s]
+    REAL(DbKi)                    :: Y_MErrSet                   ! Yaw alignment error, setpoint (for wake steering) [rad]
+    REAL(DbKi)                    :: Y_IPC_IntSat                ! Integrator saturation (maximum signal amplitude contrbution to pitch from yaw-by-IPC)
+    REAL(DbKi)                    :: Y_IPC_KP                    ! Yaw-by-IPC proportional controller gain Kp
+    REAL(DbKi)                    :: Y_IPC_KI                    ! Yaw-by-IPC integral controller gain Ki
     INTEGER(IntKi)                :: PS_Mode                     ! Pitch saturation mode {0 - no peak shaving, 1 -  implement pitch saturation}
     INTEGER(IntKi)                :: PS_BldPitchMin_N            ! Number of values in minimum blade pitch lookup table (should equal number of values in PS_WindSpeeds and PS_BldPitchMin)
     REAL(DbKi), DIMENSION(:), ALLOCATABLE     :: PS_WindSpeeds               ! Wind speeds corresponding to minimum blade pitch angles [m/s]
@@ -112,6 +110,16 @@ MODULE ROSCO_Types
     REAL(DbKi), DIMENSION(:), ALLOCATABLE     :: OL_GenTq                    ! Open generator torque timeseries
     REAL(DbKi), DIMENSION(:), ALLOCATABLE     :: OL_YawRate                  ! Open yaw rate timeseries
     REAL(DbKi), DIMENSION(:,:), ALLOCATABLE     :: OL_Channels                 ! Open loop channels in timeseries
+    INTEGER(IntKi)                :: PA_Mode                     ! Pitch actuator mode {0 - not used, 1 - first order filter, 2 - second order filter}
+    REAL(DbKi)                    :: PA_CornerFreq               ! Pitch actuator bandwidth/cut-off frequency [rad/s]
+    REAL(DbKi)                    :: PA_Damping                  ! Pitch actuator damping ratio [-, unused if PA_Mode = 1]
+    INTEGER(IntKi)                :: Ext_Mode                    ! External control mode (0 - not used, 1 - call external control library)
+    CHARACTER(1024)               :: DLL_FileName                ! File name of external dynamic library
+    CHARACTER(1024)               :: DLL_InFile                  ! Name of input file called by dynamic library (DISCON.IN, e.g.)
+    CHARACTER(1024)               :: DLL_ProcName                ! Process name of subprocess called in DLL_Filename (Usually DISCON)
+    INTEGER(IntKi)                :: ZMQ_Mode                    ! Flag for ZeroMQ (0-off, 1-yaw}
+    CHARACTER(256)                :: ZMQ_CommAddress             ! Comm Address to zeroMQ client
+    REAL(DbKi)                    :: ZMQ_UpdatePeriod            ! Integer for zeromq update frequency
     REAL(DbKi)                    :: PC_RtTq99                   ! 99% of the rated torque value, using for switching between pitch and torque control, [Nm].
     REAL(DbKi)                    :: VS_MaxOMTq                  ! Maximum torque at the end of the below-rated region 2, [Nm]
     REAL(DbKi)                    :: VS_MinOMTq                  ! Minimum torque at the beginning of the below-rated region 2, [Nm]
@@ -180,7 +188,8 @@ MODULE ROSCO_Types
     REAL(DbKi)                    :: VS_GenPwr                   ! Generator power [W]
     REAL(DbKi)                    :: GenSpeed                    ! Generator speed (HSS) [rad/s]
     REAL(DbKi)                    :: RotSpeed                    ! Rotor speed (LSS) [rad/s]
-    REAL(DbKi)                    :: Y_M                         ! Yaw direction [rad]
+    REAL(DbKi)                    :: NacHeading                  ! Nacelle heading of the turbine w.r.t. north [deg]
+    REAL(DbKi)                    :: NacVane                     ! Nacelle vane angle [deg]
     REAL(DbKi)                    :: HorWindV                    ! Hub height wind speed m/s
     REAL(DbKi)                    :: rootMOOP(3)                 ! Blade root bending moment [Nm]
     REAL(DbKi)                    :: rootMOOPF(3)                ! Filtered Blade root bending moment [Nm]
@@ -219,6 +228,7 @@ MODULE ROSCO_Types
     REAL(DbKi)                    :: IPC_KP(2)                   ! Proportional gain for IPC, after ramp [-]
     INTEGER(IntKi)                :: PC_State                    ! State of the pitch control system
     REAL(DbKi)                    :: PitCom(3)                   ! Commanded pitch of each blade the last time the controller was called [rad].
+    REAL(DbKi)                    :: PitComAct(3)                ! Actuated pitch of each blade the last time the controller was called [rad].
     REAL(DbKi)                    :: SS_DelOmegaF                ! Filtered setpoint shifting term defined in setpoint smoother [rad/s].
     REAL(DbKi)                    :: TestType                    ! Test variable, no use
     REAL(DbKi)                    :: VS_MaxTq                    ! Maximum allowable generator torque [Nm].
@@ -235,11 +245,6 @@ MODULE ROSCO_Types
     REAL(DbKi)                    :: WE_VwI                      ! Integrated wind speed quantity for estimation [m/s]
     REAL(DbKi)                    :: WE_VwIdot                   ! Differentiated integrated wind speed quantity for estimation [m/s]
     REAL(DbKi)                    :: VS_LastGenTrqF              ! Differentiated integrated wind speed quantity for estimation [m/s]
-    REAL(DbKi)                    :: Y_AccErr                    ! Accumulated yaw error [rad].
-    REAL(DbKi)                    :: Y_ErrLPFFast                ! Filtered yaw error by fast low pass filter [rad].
-    REAL(DbKi)                    :: Y_ErrLPFSlow                ! Filtered yaw error by slow low pass filter [rad].
-    REAL(DbKi)                    :: Y_MErr                      ! Measured yaw error, measured + setpoint [rad].
-    REAL(DbKi)                    :: Y_YawEndT                   ! Yaw end time [s]. Indicates the time up until which yaw is active with a fixed rate
     LOGICAL                       :: SD                          ! Shutdown, .FALSE. if inactive, .TRUE. if active
     REAL(DbKi)                    :: Fl_PitCom                   ! Shutdown, .FALSE. if inactive, .TRUE. if active
     REAL(DbKi)                    :: NACIMU_FA_AccF              ! None
@@ -291,11 +296,17 @@ MODULE ROSCO_Types
     REAL(DbKi)                    :: axisYaw_1P                  ! Yaw component of coleman transformation, 1P
     REAL(DbKi)                    :: axisTilt_2P                 ! Tilt component of coleman transformation, 2P
     REAL(DbKi)                    :: axisYaw_2P                  ! Yaw component of coleman transformation, 2P
+    REAL(DbKi)                    :: YawRateCom                  ! Commanded yaw rate [rad/s].
+    REAL(DbKi)                    :: NacHeadingTarget            ! Target nacelle heading [rad].
+    REAL(DbKi)                    :: NacVaneOffset               ! Nacelle vane angle with offset [rad].
+    REAL(DbKi)                    :: Yaw_err                     ! Yaw error [rad].
+    REAL(DbKi)                    :: YawState                    ! State of yaw controller
 END TYPE DebugVariables
 
 TYPE, PUBLIC :: ErrorVariables
     INTEGER(IntKi)                :: size_avcMSG                 ! None
     INTEGER(C_INT)                :: aviFAIL                     ! A flag used to indicate the success of this DLL call set as follows: 0 if the DLL call was successful, >0 if the DLL call was successful but cMessage should be issued as a warning messsage, <0 if the DLL call was unsuccessful or for any other reason the simulation is to be stopped at this point with cMessage as the error message.
+    INTEGER(C_INT)                :: ErrStat                     ! An error status flag used by OpenFAST processes
     CHARACTER(:), ALLOCATABLE     :: ErrMsg                      ! a Fortran version of the C string argument (not considered an array here) [subtract 1 for the C null-character]
 END TYPE ErrorVariables
 
@@ -307,4 +318,13 @@ MODULE ROSCO_Types
     CHARACTER(1024)               :: ProcName(3) = ""            ! The name of the procedure in the DLL that will be called.
 END TYPE ExtDLL_Type
 
+TYPE, PUBLIC :: ZMQ_Variables
+    LOGICAL                       :: ZMQ_Flag                    ! Flag if we're using zeroMQ at all (0-False, 1-True)
+    REAL(DbKi)                    :: Yaw_Offset                  ! Yaw offsety command, [rad]
+END TYPE ZMQ_Variables
+
+TYPE, PUBLIC :: ExtControlType
+    REAL(C_FLOAT), DIMENSION(:), ALLOCATABLE     :: avrSWAP                     ! The swap array- used to pass data to and from the DLL controller [see Bladed DLL documentation]
+END TYPE ExtControlType
+
 END MODULE ROSCO_Types
\ No newline at end of file
diff --git a/ROSCO/ROSCO/src/ReadSetParameters.f90 b/ROSCO/ROSCO/src/ReadSetParameters.f90
index d4d24deaf..a0ac9e382 100644
--- a/ROSCO/ROSCO/src/ReadSetParameters.f90
+++ b/ROSCO/ROSCO/src/ReadSetParameters.f90
@@ -18,35 +18,20 @@ MODULE ReadSetParameters
     USE Constants
     USE Functions
     USE SysSubs
+    USE ROSCO_Helpers
 
     IMPLICIT NONE
 
-    ! Global Variables
-    LOGICAL, PARAMETER     :: DEBUG_PARSING = .FALSE.      ! debug flag to output parsing information, set up Echo file later
-    
-    INTERFACE ParseInput                                                         ! Parses a character variable name and value from a string.
-        MODULE PROCEDURE ParseInput_Str                                             ! Parses a character string from a string.
-        MODULE PROCEDURE ParseInput_Dbl                                             ! Parses a double-precision REAL from a string.
-        MODULE PROCEDURE ParseInput_Int                                             ! Parses an INTEGER from a string.
-        ! MODULE PROCEDURE ParseInput_Log                                             ! Parses an LOGICAL from a string.
-    END INTERFACE
-
-    INTERFACE ParseAry                                                         ! Parse an array of numbers from a string.
-        MODULE PROCEDURE ParseDbAry                                             ! Parse an array of double-precision REAL values.
-        MODULE PROCEDURE ParseInAry                                             ! Parse an array of whole numbers.
-    END INTERFACE
-
-
 
 CONTAINS
  ! -----------------------------------------------------------------------------------
     ! Read avrSWAP array passed from ServoDyn    
     SUBROUTINE ReadAvrSWAP(avrSWAP, LocalVar)
-        USE ROSCO_Types, ONLY : LocalVariables
+        USE ROSCO_Types, ONLY : LocalVariables, ZMQ_Variables
 
         REAL(ReKi), INTENT(INOUT) :: avrSWAP(*)   ! The swap array, used to pass data to, and receive data from, the DLL controller.
         TYPE(LocalVariables), INTENT(INOUT) :: LocalVar
-        
+
         ! Load variables from calling program (See Appendix A of Bladed User's Guide):
         LocalVar%iStatus            = NINT(avrSWAP(1))
         LocalVar%Time               = avrSWAP(2)
@@ -56,7 +41,7 @@ SUBROUTINE ReadAvrSWAP(avrSWAP, LocalVar)
         LocalVar%GenSpeed           = avrSWAP(20)
         LocalVar%RotSpeed           = avrSWAP(21)
         LocalVar%GenTqMeas          = avrSWAP(23)
-        LocalVar%Y_M                = avrSWAP(24)
+        LocalVar%NacVane            = avrSWAP(24) * R2D
         LocalVar%HorWindV           = avrSWAP(27)
         LocalVar%rootMOOP(1)        = avrSWAP(30)
         LocalVar%rootMOOP(2)        = avrSWAP(31)
@@ -86,18 +71,19 @@ SUBROUTINE ReadAvrSWAP(avrSWAP, LocalVar)
     END SUBROUTINE ReadAvrSWAP    
 ! -----------------------------------------------------------------------------------
     ! Define parameters for control actions
-    SUBROUTINE SetParameters(avrSWAP, accINFILE, size_avcMSG, CntrPar, LocalVar, objInst, PerfData, ErrVar)
+    SUBROUTINE SetParameters(avrSWAP, accINFILE, size_avcMSG, CntrPar, LocalVar, objInst, PerfData, zmqVar, ErrVar)
                 
-        USE ROSCO_Types, ONLY : ControlParameters, LocalVariables, ObjectInstances, PerformanceData, ErrorVariables
+        USE ROSCO_Types, ONLY : ControlParameters, LocalVariables, ObjectInstances, PerformanceData, ErrorVariables, ZMQ_Variables
         
         REAL(ReKi),                 INTENT(INOUT)   :: avrSWAP(*)          ! The swap array, used to pass data to, and receive data from, the DLL controller.
         CHARACTER(C_CHAR),          INTENT(IN   )   :: accINFILE(NINT(avrSWAP(50)))     ! The name of the parameter input file
 
-        INTEGER(IntKi),                 INTENT(IN   )   :: size_avcMSG
+        INTEGER(IntKi),             INTENT(IN   )   :: size_avcMSG
         TYPE(ControlParameters),    INTENT(INOUT)   :: CntrPar
         TYPE(LocalVariables),       INTENT(INOUT)   :: LocalVar
         TYPE(ObjectInstances),      INTENT(INOUT)   :: objInst
         TYPE(PerformanceData),      INTENT(INOUT)   :: PerfData
+        TYPE(ZMQ_Variables),        INTENT(INOUT)   :: zmqVar
         TYPE(ErrorVariables),       INTENT(INOUT)   :: ErrVar
 
         
@@ -153,7 +139,7 @@ SUBROUTINE SetParameters(avrSWAP, accINFILE, size_avcMSG, CntrPar, LocalVar, obj
             LocalVar%ACC_INFILE = accINFILE
 
             ! Read Control Parameter File
-            CALL ReadControlParameterFileSub(CntrPar, accINFILE, NINT(avrSWAP(50)),ErrVar)
+            CALL ReadControlParameterFileSub(CntrPar, zmqVar, accINFILE, NINT(avrSWAP(50)),ErrVar)
             ! If there's been an file reading error, don't continue
             ! Add RoutineName to error message
             IF (ErrVar%aviFAIL < 0) THEN
@@ -167,9 +153,7 @@ SUBROUTINE SetParameters(avrSWAP, accINFILE, size_avcMSG, CntrPar, LocalVar, obj
         
             ! Initialize the SAVED variables:
             LocalVar%PitCom     = LocalVar%BlPitch ! This will ensure that the variable speed controller picks the correct control region and the pitch controller picks the correct gain on the first call
-            LocalVar%Y_AccErr   = 0.0  ! This will ensure that the accumulated yaw error starts at zero
-            LocalVar%Y_YawEndT  = -1.0 ! This will ensure that the initial yaw end time is lower than the actual time to prevent initial yawing
-            
+
             ! Wind speed estimator initialization
             LocalVar%WE_Vw      = LocalVar%HorWindV
             LocalVar%WE_VwI     = LocalVar%WE_Vw - CntrPar%WE_Gamma*LocalVar%RotSpeed
@@ -194,22 +178,28 @@ SUBROUTINE SetParameters(avrSWAP, accINFILE, size_avcMSG, CntrPar, LocalVar, obj
                 ErrVar%ErrMsg = RoutineName//':'//TRIM(ErrVar%ErrMsg)
             ENDIF
             
+            ! Check if we're using zeromq
+            IF (CntrPar%ZMQ_Mode == 1) THEN ! add .OR. statements as more functionality is built in
+                zmqVar%ZMQ_Flag = .TRUE.
+            ENDIF
 
         ENDIF
     END SUBROUTINE SetParameters
     ! -----------------------------------------------------------------------------------
     ! Read all constant control parameters from DISCON.IN parameter file
-    SUBROUTINE ReadControlParameterFileSub(CntrPar, accINFILE, accINFILE_size,ErrVar)!, accINFILE_size)
+    SUBROUTINE ReadControlParameterFileSub(CntrPar, zmqVar, accINFILE, accINFILE_size,ErrVar)!, accINFILE_size)
         USE, INTRINSIC :: ISO_C_Binding
-        USE ROSCO_Types, ONLY : ControlParameters, ErrorVariables
+        USE ROSCO_Types, ONLY : ControlParameters, ErrorVariables, ZMQ_Variables
 
         INTEGER(IntKi)                                  :: accINFILE_size               ! size of DISCON input filename
         CHARACTER(accINFILE_size),  INTENT(IN   )       :: accINFILE(accINFILE_size)    ! DISCON input filename
-        INTEGER(IntKi), PARAMETER                       :: UnControllerParameters = 89  ! Unit number to open file
         TYPE(ControlParameters),    INTENT(INOUT)       :: CntrPar                      ! Control parameter type
-        TYPE(ErrorVariables),       INTENT(INOUT)       :: ErrVar                      ! Control parameter type
-
+        TYPE(ErrorVariables),       INTENT(INOUT)       :: ErrVar                       ! Control parameter type
+        TYPE(ZMQ_Variables),        INTENT(INOUT)       :: zmqVar                       ! Control parameter type
+        
+        INTEGER(IntKi)                                  :: UnControllerParameters  ! Unit number to open file
         INTEGER(IntKi)                                  :: CurLine 
+        ! INTEGER(IntKi), PARAMETER                       :: UnControllerParameters = 89  ! Unit number to open file
 
         CHARACTER(1024)                                 :: OL_String                    ! Open description loop string
         INTEGER(IntKi)                                  :: OL_Count                     ! Number of open loop channels
@@ -223,7 +213,7 @@ SUBROUTINE ReadControlParameterFileSub(CntrPar, accINFILE, accINFILE_size,ErrVar
 
         ! Get primary path of DISCON.IN file (accINFILE(1) here)
         CALL GetPath( accINFILE(1), PriPath )     ! Input files will be relative to the path where the primary input file is located.
-
+        CALL GetNewUnit(UnControllerParameters, ErrVar)
         OPEN(unit=UnControllerParameters, file=accINFILE(1), status='old', action='read')
         
         !----------------------- HEADER ------------------------
@@ -251,8 +241,12 @@ SUBROUTINE ReadControlParameterFileSub(CntrPar, accINFILE, accINFILE_size,ErrVar
         CALL ParseInput(UnControllerParameters,CurLine,'PS_Mode',accINFILE(1),CntrPar%PS_Mode,ErrVar)
         CALL ParseInput(UnControllerParameters,CurLine,'SD_Mode',accINFILE(1),CntrPar%SD_Mode,ErrVar)
         CALL ParseInput(UnControllerParameters,CurLine,'FL_Mode',accINFILE(1),CntrPar%FL_Mode,ErrVar)
+        CALL ParseInput(UnControllerParameters,CurLine,'TD_Mode',accINFILE(1),CntrPar%TD_Mode,ErrVar)
         CALL ParseInput(UnControllerParameters,CurLine,'Flp_Mode',accINFILE(1),CntrPar%Flp_Mode,ErrVar)
         CALL ParseInput(UnControllerParameters,CurLine,'OL_Mode',accINFILE(1),CntrPar%OL_Mode,ErrVar)
+        CALL ParseInput(UnControllerParameters,CurLine,'PA_Mode',accINFILE(1),CntrPar%PA_Mode,ErrVar)
+        CALL ParseInput(UnControllerParameters,CurLine,'Ext_Mode',accINFILE(1),CntrPar%Ext_Mode,ErrVar)
+		CALL ParseInput(UnControllerParameters,CurLine,'ZMQ_Mode',accINFILE(1), CntrPar%ZMQ_Mode,ErrVar)
 
         CALL ReadEmptyLine(UnControllerParameters,CurLine)
 
@@ -264,6 +258,7 @@ SUBROUTINE ReadControlParameterFileSub(CntrPar, accINFILE, accINFILE_size,ErrVar
         CALL ParseAry(UnControllerParameters, CurLine, 'F_NotchBetaNumDen', CntrPar%F_NotchBetaNumDen, 2, accINFILE(1), ErrVar )
         CALL ParseInput(UnControllerParameters,CurLine,'F_SSCornerFreq',accINFILE(1),CntrPar%F_SSCornerFreq,ErrVar)
         CALL ParseInput(UnControllerParameters,CurLine,'F_WECornerFreq',accINFILE(1),CntrPar%F_WECornerFreq,ErrVar)
+        CALL ParseInput(UnControllerParameters,CurLine,'F_YawErr',accINFILE(1),CntrPar%F_YawErr, ErrVar)
         CALL ParseAry(UnControllerParameters, CurLine, 'F_FlCornerFreq', CntrPar%F_FlCornerFreq, 2, accINFILE(1), ErrVar )
         CALL ParseInput(UnControllerParameters,CurLine,'F_FlHighPassFreq',accINFILE(1),CntrPar%F_FlHighPassFreq,ErrVar)
         CALL ParseAry(UnControllerParameters, CurLine, 'F_FlpCornerFreq', CntrPar%F_FlpCornerFreq, 2, accINFILE(1), ErrVar )
@@ -338,17 +333,13 @@ SUBROUTINE ReadControlParameterFileSub(CntrPar, accINFILE, accINFILE_size,ErrVar
 
         !-------------- YAW CONTROLLER CONSTANTS -----------------
         CALL ReadEmptyLine(UnControllerParameters,CurLine)
-        CALL ParseInput(UnControllerParameters,CurLine,'Y_ErrThresh',accINFILE(1),CntrPar%Y_ErrThresh,ErrVar)
-        CALL ParseInput(UnControllerParameters,CurLine,'Y_IPC_IntSat',accINFILE(1),CntrPar%Y_IPC_IntSat,ErrVar)
-        CALL ParseInput(UnControllerParameters,CurLine,'Y_IPC_n',accINFILE(1),CntrPar%Y_IPC_n,ErrVar)
-        CALL ParseAry(UnControllerParameters, CurLine, 'Y_IPC_KP', CntrPar%Y_IPC_KP, CntrPar%Y_IPC_n, accINFILE(1), ErrVar )
-        CALL ParseAry(UnControllerParameters, CurLine, 'Y_IPC_KI', CntrPar%Y_IPC_KI, CntrPar%Y_IPC_n, accINFILE(1), ErrVar )
-        CALL ParseInput(UnControllerParameters,CurLine,'Y_IPC_omegaLP',accINFILE(1),CntrPar%Y_IPC_omegaLP,ErrVar)
-        CALL ParseInput(UnControllerParameters,CurLine,'Y_IPC_zetaLP',accINFILE(1),CntrPar%Y_IPC_zetaLP,ErrVar)
-        CALL ParseInput(UnControllerParameters,CurLine,'Y_MErrSet',accINFILE(1),CntrPar%Y_MErrSet,ErrVar)
-        CALL ParseInput(UnControllerParameters,CurLine,'Y_omegaLPFast',accINFILE(1),CntrPar%Y_omegaLPFast,ErrVar)
-        CALL ParseInput(UnControllerParameters,CurLine,'Y_omegaLPSlow',accINFILE(1),CntrPar%Y_omegaLPSlow,ErrVar)
+        CALL ParseInput(UnControllerParameters,CurLine,'Y_uSwitch',accINFILE(1),CntrPar%Y_uSwitch,ErrVar)
+        CALL ParseAry(UnControllerParameters, CurLine, 'Y_ErrThresh', CntrPar%Y_ErrThresh, 2, accINFILE(1), ErrVar )
         CALL ParseInput(UnControllerParameters,CurLine,'Y_Rate',accINFILE(1),CntrPar%Y_Rate,ErrVar)
+        CALL ParseInput(UnControllerParameters,CurLine,'Y_MErrSet',accINFILE(1),CntrPar%Y_MErrSet,ErrVar)
+        CALL ParseInput(UnControllerParameters,CurLine,'Y_IPC_IntSat',accINFILE(1),CntrPar%Y_IPC_IntSat,ErrVar)
+        CALL ParseInput(UnControllerParameters, CurLine,'Y_IPC_KP', accINFILE(1), CntrPar%Y_IPC_KP, ErrVar )
+        CALL ParseInput(UnControllerParameters, CurLine,'Y_IPC_KI', accINFILE(1), CntrPar%Y_IPC_KI, ErrVar )
         CALL ReadEmptyLine(UnControllerParameters,CurLine)
 
         !------------ FORE-AFT TOWER DAMPER CONSTANTS ------------
@@ -392,6 +383,25 @@ SUBROUTINE ReadControlParameterFileSub(CntrPar, accINFILE, accINFILE_size,ErrVar
         CALL ParseInput(UnControllerParameters,CurLine,'Ind_BldPitch',accINFILE(1),CntrPar%Ind_BldPitch,ErrVar)
         CALL ParseInput(UnControllerParameters,CurLine,'Ind_GenTq',accINFILE(1),CntrPar%Ind_GenTq,ErrVar)
         CALL ParseInput(UnControllerParameters,CurLine,'Ind_YawRate',accINFILE(1),CntrPar%Ind_YawRate,ErrVar)
+        CALL ReadEmptyLine(UnControllerParameters,CurLine)   
+
+        !------------ Pitch Actuator Inputs ------------
+        CALL ReadEmptyLine(UnControllerParameters,CurLine)   
+        CALL ParseInput(UnControllerParameters,CurLine,'PA_CornerFreq',accINFILE(1),CntrPar%PA_CornerFreq,ErrVar)
+        CALL ParseInput(UnControllerParameters,CurLine,'PA_Damping',accINFILE(1),CntrPar%PA_Damping,ErrVar)
+        CALL ReadEmptyLine(UnControllerParameters,CurLine)   
+        
+        !------------ External control interface ------------
+        CALL ReadEmptyLine(UnControllerParameters,CurLine)   
+        CALL ParseInput(UnControllerParameters,CurLine,'DLL_FileName',accINFILE(1),CntrPar%DLL_FileName,ErrVar)
+        CALL ParseInput(UnControllerParameters,CurLine,'DLL_InFile',accINFILE(1),CntrPar%DLL_InFile,ErrVar)
+        CALL ParseInput(UnControllerParameters,CurLine,'DLL_ProcName',accINFILE(1),CntrPar%DLL_ProcName,ErrVar)
+        CALL ReadEmptyLine(UnControllerParameters,CurLine)   
+
+        !------------ ZeroMQ ------------
+        CALL ReadEmptyLine(UnControllerParameters,CurLine)   
+        CALL ParseInput(UnControllerParameters,CurLine,'ZMQ_CommAddress',accINFILE(1), CntrPar%ZMQ_CommAddress,ErrVar)
+		CALL ParseInput(UnControllerParameters,CurLine,'ZMQ_UpdatePeriod',accINFILE(1), CntrPar%ZMQ_UpdatePeriod,ErrVar)
 
         ! Fix Paths (add relative paths if called from another dir)
         IF (PathIsRelative(CntrPar%PerfFileName)) CntrPar%PerfFileName = TRIM(PriPath)//TRIM(CntrPar%PerfFileName)
@@ -434,6 +444,9 @@ SUBROUTINE ReadControlParameterFileSub(CntrPar, accINFILE, accINFILE_size,ErrVar
             ENDIF
         END IF
 
+        ! Convert yaw rate to deg/s
+        CntrPar%Y_Rate = CntrPar%Y_Rate * R2D
+
         ! Debugging outputs (echo someday)
         ! write(400,*) CntrPar%OL_YawRate
 
@@ -468,7 +481,7 @@ SUBROUTINE ReadCpFile(CntrPar,PerfData, ErrVar)
         TYPE(ErrorVariables),       INTENT(INOUT)   :: ErrVar
         
         ! Local variables
-        INTEGER(IntKi), PARAMETER                       :: UnPerfParameters = 89
+        INTEGER(IntKi)                                  :: UnPerfParameters
         INTEGER(IntKi)                                  :: i ! iteration index
 
         INTEGER(IntKi)                                  :: CurLine 
@@ -476,7 +489,7 @@ SUBROUTINE ReadCpFile(CntrPar,PerfData, ErrVar)
         REAL(DbKi), DIMENSION(:), ALLOCATABLE          :: TmpPerf
 
         CurLine = 1
-
+        CALL GetNewUnit(UnPerfParameters, ErrVar)
         OPEN(unit=UnPerfParameters, file=TRIM(CntrPar%PerfFileName), status='old', action='read') ! Should put input file into DISCON.IN
         
         ! ----------------------- Axis Definitions ------------------------
@@ -502,7 +515,7 @@ SUBROUTINE ReadCpFile(CntrPar,PerfData, ErrVar)
         CALL ReadEmptyLine(UnPerfParameters,CurLine) 
         CALL ReadEmptyLine(UnPerfParameters,CurLine) 
         CALL ReadEmptyLine(UnPerfParameters,CurLine) 
-        ALLOCATE(PerfData%Ct_mat(CntrPar%PerfTableSize(1),CntrPar%PerfTableSize(2)))
+        ALLOCATE(PerfData%Ct_mat(CntrPar%PerfTableSize(2),CntrPar%PerfTableSize(1)))
         DO i = 1,CntrPar%PerfTableSize(2)
             READ(UnPerfParameters, *) PerfData%Ct_mat(i,:) ! Read Ct table
         END DO
@@ -510,11 +523,14 @@ SUBROUTINE ReadCpFile(CntrPar,PerfData, ErrVar)
         CALL ReadEmptyLine(UnPerfParameters,CurLine) 
         CALL ReadEmptyLine(UnPerfParameters,CurLine) 
         CALL ReadEmptyLine(UnPerfParameters,CurLine) 
-        ALLOCATE(PerfData%Cq_mat(CntrPar%PerfTableSize(1),CntrPar%PerfTableSize(2)))
+        ALLOCATE(PerfData%Cq_mat(CntrPar%PerfTableSize(2),CntrPar%PerfTableSize(1)))
         DO i = 1,CntrPar%PerfTableSize(2)
             READ(UnPerfParameters, *) PerfData%Cq_mat(i,:) ! Read Cq table
         END DO
 
+        ! Close file
+        CLOSE(UnPerfParameters)
+
         ! Add RoutineName to error message
         IF (ErrVar%aviFAIL < 0) THEN
             ErrVar%ErrMsg = RoutineName//':'//TRIM(ErrVar%ErrMsg)
@@ -903,38 +919,18 @@ SUBROUTINE CheckInputs(LocalVar, CntrPar, avrSWAP, ErrVar, size_avcMSG)
             ErrVar%ErrMsg  = 'WE_FOPoles_v must be non-decreasing.'
         ENDIF
 
-
-
         ! ---- Yaw Control ----
         IF (CntrPar%Y_ControlMode > 0) THEN
-            IF (CntrPar%Y_IPC_omegaLP <= 0.0)  THEN
-                ErrVar%aviFAIL = -1
-                ErrVar%ErrMsg  = 'Y_IPC_omegaLP must be greater than zero.'
-            ENDIF
-            
-            IF (CntrPar%Y_IPC_zetaLP <= 0.0)  THEN
-                ErrVar%aviFAIL = -1
-                ErrVar%ErrMsg  = 'Y_IPC_zetaLP must be greater than zero.'
-            ENDIF
-            
-            IF (CntrPar%Y_ErrThresh <= 0.0)  THEN
-                ErrVar%aviFAIL = -1
-                ErrVar%ErrMsg  = 'Y_ErrThresh must be greater than zero.'
-            ENDIF
-            
-            IF (CntrPar%Y_Rate <= 0.0)  THEN
-                ErrVar%aviFAIL = -1
-                ErrVar%ErrMsg  = 'CntrPar%Y_Rate must be greater than zero.'
-            ENDIF
-            
-            IF (CntrPar%Y_omegaLPFast <= 0.0)  THEN
-                ErrVar%aviFAIL = -1
-                ErrVar%ErrMsg  = 'Y_omegaLPFast must be greater than zero.'
-            ENDIF
-            
-            IF (CntrPar%Y_omegaLPSlow <= 0.0)  THEN
-                ErrVar%aviFAIL = -1
-                ErrVar%ErrMsg  = 'Y_omegaLPSlow must be greater than zero.'
+            IF (CntrPar%Y_ControlMode == 1) THEN
+                IF (CntrPar%Y_ErrThresh(1) <= 0.0)  THEN
+                    ErrVar%aviFAIL = -1
+                    ErrVar%ErrMsg  = 'Y_ErrThresh must be greater than zero.'
+                ENDIF
+
+                IF (CntrPar%Y_Rate <= 0.0)  THEN
+                    ErrVar%aviFAIL = -1
+                    ErrVar%ErrMsg  = 'CntrPar%Y_Rate must be greater than zero.'
+                ENDIF
             ENDIF
         ENDIF
 
@@ -972,6 +968,22 @@ SUBROUTINE CheckInputs(LocalVar, CntrPar, avrSWAP, ErrVar, size_avcMSG)
             ErrVar%aviFAIL = -1
             ErrVar%ErrMsg = 'All open loop control indices must be greater than zero'
         ENDIF
+
+        ! --- Pitch Actuator ---
+        IF (CntrPar%PA_Mode > 0) THEN
+            IF ((CntrPar%PA_Mode < 0) .OR. (CntrPar%PA_Mode < 2)) THEN
+                ErrVar%aviFAIL = -1
+                ErrVar%ErrMsg = 'PA_Mode must be 0, 1, or 2'
+            END IF
+            IF (CntrPar%PA_CornerFreq < 0) THEN
+                ErrVar%aviFAIL = -1
+                ErrVar%ErrMsg = 'PA_CornerFreq must be greater than 0'
+            END IF
+            IF (CntrPar%PA_Damping < 0) THEN
+                ErrVar%aviFAIL = -1
+                ErrVar%ErrMsg = 'PA_Damping must be greater than 0'
+            END IF
+        END IF
             
 
         
@@ -999,798 +1011,4 @@ SUBROUTINE CheckInputs(LocalVar, CntrPar, avrSWAP, ErrVar, size_avcMSG)
 
     END SUBROUTINE CheckInputs
     
-    !=======================================================================
-    ! Parse integer input: read line, check that variable name is in line, handle errors
-    subroutine ParseInput_Int(Un, CurLine, VarName, FileName, Variable, ErrVar, CheckName)
-        USE ROSCO_Types, ONLY : ErrorVariables
-
-        CHARACTER(1024)                         :: Line
-        INTEGER(IntKi),             INTENT(IN   )   :: Un   ! Input file unit
-        CHARACTER(*),           INTENT(IN   )   :: VarName   ! Input file unit
-        CHARACTER(*),           INTENT(IN   )   :: FileName   ! Input file unit
-        INTEGER(IntKi),             INTENT(INOUT)   :: CurLine   ! Current line of input
-        TYPE(ErrorVariables),   INTENT(INOUT)   :: ErrVar   ! Current line of input
-        CHARACTER(20)                           :: Words       (2)               ! The two "words" parsed from the line
-
-        INTEGER(IntKi),             INTENT(INOUT)   :: Variable   ! Variable
-        INTEGER(IntKi)                              :: ErrStatLcl                    ! Error status local to this routine.
-        LOGICAL, OPTIONAL,      INTENT(IN   )   :: CheckName
-
-        LOGICAL                                 :: CheckName_
-
-        ! Figure out if we're checking the name, default to .TRUE.
-        CheckName_ = .TRUE.
-        if (PRESENT(CheckName)) CheckName_ = CheckName 
-
-        ! If we've already failed, don't read anything
-        IF (ErrVar%aviFAIL >= 0) THEN
-
-            ! Read the whole line as a string
-            READ(Un, '(A)') Line
-
-            ! Separate line string into 2 words
-            CALL GetWords ( Line, Words, 2 )  
-
-            ! Debugging: show what's being read, turn into Echo later
-            IF (DEBUG_PARSING) THEN
-                print *, 'Read: '//TRIM(Words(1))//' and '//TRIM(Words(2)),' on line ', CurLine
-            END IF
-
-            ! Check that Variable Name is in Words
-            IF (CheckName_) THEN
-                CALL ChkParseData ( Words, VarName, FileName, CurLine, ErrVar )
-            END IF
-
-            ! IF We haven't failed already
-            IF (ErrVar%aviFAIL >= 0) THEN        
-
-                ! Read the variable
-                READ (Words(1),*,IOSTAT=ErrStatLcl)  Variable
-                IF ( ErrStatLcl /= 0 )  THEN
-                    ErrVar%aviFAIL  = -1
-                    ErrVar%ErrMsg   =  NewLine//' >> A fatal error occurred when parsing data from "' &
-                        //TRIM( FileName )//'".'//NewLine//  &
-                        ' >> The variable "'//TRIM( Words(2) )//'" was not assigned valid INTEGER value on line #' &
-                        //TRIM( Int2LStr( CurLine ) )//'.'//NewLine//&
-                        ' >> The text being parsed was :'//NewLine//'    "'//TRIM( Line )//'"'
-                ENDIF
-
-            ENDIF   
-
-            ! Increment line counter
-            CurLine = CurLine + 1
-        END IF
-
-    END subroutine ParseInput_Int
-
-    !=======================================================================
-    ! Parse double input, this is a copy of ParseInput_Int and a change in the variable definitions
-    subroutine ParseInput_Dbl(Un, CurLine, VarName, FileName, Variable, ErrVar, CheckName)
-        USE ROSCO_Types, ONLY : ErrorVariables
-
-        CHARACTER(1024)                         :: Line
-        INTEGER(IntKi),             INTENT(IN   )   :: Un   ! Input file unit
-        CHARACTER(*),           INTENT(IN   )   :: VarName   ! Input file unit
-        CHARACTER(*),           INTENT(IN   )   :: FileName   ! Input file unit
-        INTEGER(IntKi),             INTENT(INOUT)   :: CurLine   ! Current line of input
-        TYPE(ErrorVariables),   INTENT(INOUT)   :: ErrVar   ! Current line of input
-        CHARACTER(20)                           :: Words       (2)               ! The two "words" parsed from the line
-        LOGICAL, OPTIONAL,      INTENT(IN   )   :: CheckName
-
-        REAL(DbKi),             INTENT(INOUT)      :: Variable   ! Variable
-        INTEGER(IntKi)                              :: ErrStatLcl                    ! Error status local to this routine.
-
-        LOGICAL                                 :: CheckName_
-
-        ! Figure out if we're checking the name, default to .TRUE.
-        CheckName_ = .TRUE.
-        if (PRESENT(CheckName)) CheckName_ = CheckName 
-
-        ! If we've already failed, don't read anything
-        IF (ErrVar%aviFAIL >= 0) THEN
-
-            ! Read the whole line as a string
-            READ(Un, '(A)') Line
-
-            ! Separate line string into 2 words
-            CALL GetWords ( Line, Words, 2 )  
-
-            ! Debugging: show what's being read, turn into Echo later
-            IF (DEBUG_PARSING) THEN
-            print *, 'Read: '//TRIM(Words(1))//' and '//TRIM(Words(2)),' on line ', CurLine
-            END IF
-
-            ! Check that Variable Name is in Words
-            IF (CheckName_) THEN
-                CALL ChkParseData ( Words, VarName, FileName, CurLine, ErrVar )
-            END IF
-
-            ! IF We haven't failed already
-            IF (ErrVar%aviFAIL >= 0) THEN        
-
-                ! Read the variable
-                READ (Words(1),*,IOSTAT=ErrStatLcl)  Variable
-                IF ( ErrStatLcl /= 0 )  THEN
-                    ErrVar%aviFAIL  = -1
-                    ErrVar%ErrMsg   =  NewLine//' >> A fatal error occurred when parsing data from "' &
-                        //TRIM( FileName )//'".'//NewLine//  &
-                        ' >> The variable "'//TRIM( Words(2) )//'" was not assigned valid INTEGER value on line #' &
-                        //TRIM( Int2LStr( CurLine ) )//'.'//NewLine//&
-                        ' >> The text being parsed was :'//NewLine//'    "'//TRIM( Line )//'"'
-                ENDIF
-
-            ENDIF   
-
-            ! Increment line counter
-            CurLine = CurLine + 1
-        END IF
-
-    END subroutine ParseInput_Dbl
-
-    !=======================================================================
-    ! Parse string input, this is a copy of ParseInput_Int and a change in the variable definitions
-    subroutine ParseInput_Str(Un, CurLine, VarName, FileName, Variable, ErrVar, CheckName)
-        USE ROSCO_Types, ONLY : ErrorVariables
-
-        CHARACTER(1024)                         :: Line
-        INTEGER(IntKi),             INTENT(IN   )   :: Un   ! Input file unit
-        CHARACTER(*),           INTENT(IN   )   :: VarName   ! Input file unit
-        CHARACTER(*),           INTENT(IN   )   :: FileName   ! Input file unit
-        INTEGER(IntKi),             INTENT(INOUT)   :: CurLine   ! Current line of input
-        TYPE(ErrorVariables),   INTENT(INOUT)   :: ErrVar   ! Current line of input
-        CHARACTER(200)                          :: Words       (2)               ! The two "words" parsed from the line
-        LOGICAL, OPTIONAL,      INTENT(IN   )   :: CheckName
-
-        CHARACTER(*),           INTENT(INOUT)   :: Variable   ! Variable
-        INTEGER(IntKi)                              :: ErrStatLcl                    ! Error status local to this routine.
-
-        LOGICAL                                 :: CheckName_
-
-        ! Figure out if we're checking the name, default to .TRUE.
-        CheckName_ = .TRUE.
-        if (PRESENT(CheckName)) CheckName_ = CheckName 
-
-        ! If we've already failed, don't read anything
-        IF (ErrVar%aviFAIL >= 0) THEN
-
-            ! Read the whole line as a string
-            READ(Un, '(A)') Line
-
-            ! Separate line string into 2 words
-            CALL GetWords ( Line, Words, 2 )  
-
-            ! Debugging: show what's being read, turn into Echo later
-            if (DEBUG_PARSING) THEN
-                print *, 'Read: '//TRIM(Words(1))//' and '//TRIM(Words(2)),' on line ', CurLine
-            END IF
-
-            ! Check that Variable Name is in Words
-            IF (CheckName_) THEN
-                CALL ChkParseData ( Words, VarName, FileName, CurLine, ErrVar )
-            END IF
-
-            ! IF We haven't failed already
-            IF (ErrVar%aviFAIL >= 0) THEN        
-
-                ! Read the variable
-                READ (Words(1),'(A)',IOSTAT=ErrStatLcl)  Variable
-                IF ( ErrStatLcl /= 0 )  THEN
-                    ErrVar%aviFAIL  = -1
-                    ErrVar%ErrMsg   =  NewLine//' >> A fatal error occurred when parsing data from "' &
-                        //TRIM( FileName )//'".'//NewLine//  &
-                        ' >> The variable "'//TRIM( Words(2) )//'" was not assigned valid STRING value on line #' &
-                        //TRIM( Int2LStr( CurLine ) )//'.'//NewLine//&
-                        ' >> The text being parsed was :'//NewLine//'    "'//TRIM( Line )//'"'
-                ENDIF
-
-            ENDIF   
-
-            ! Increment line counter
-            CurLine = CurLine + 1
-        END IF
-
-    END subroutine ParseInput_Str
-
-!=======================================================================
-!> This subroutine parses the specified line of text for AryLen REAL values.
-!! Generate an error message if the value is the wrong type.
-!! Use ParseAry (nwtc_io::parseary) instead of directly calling a specific routine in the generic interface.   
-    SUBROUTINE ParseDbAry ( Un, LineNum, AryName, Ary, AryLen, FileName, ErrVar, CheckName )
-
-        USE ROSCO_Types, ONLY : ErrorVariables
-
-        ! Arguments declarations.
-        INTEGER(IntKi),             INTENT(IN   )   :: Un   ! Input file unit
-        INTEGER,                INTENT(IN   )   :: AryLen                        !< The length of the array to parse.
-
-        REAL(DbKi), ALLOCATABLE,   INTENT(INOUT)   :: Ary(:)            !< The array to receive the input values.
-
-        INTEGER(IntKi),             INTENT(INOUT)   :: LineNum                       !< The number of the line to parse.
-        CHARACTER(*),           INTENT(IN)      :: FileName                      !< The name of the file being parsed.
-
-
-        CHARACTER(*),           INTENT(IN   )   :: AryName                       !< The array name we are trying to fill.
-
-        TYPE(ErrorVariables),   INTENT(INOUT)   :: ErrVar   ! Current line of input
-
-        LOGICAL, OPTIONAL,      INTENT(IN   )   :: CheckName
-
-
-        ! Local declarations.
-
-        CHARACTER(1024)                         :: Line
-        INTEGER(IntKi)                              :: ErrStatLcl                    ! Error status local to this routine.
-        INTEGER(IntKi)                              :: i
-
-        CHARACTER(200), ALLOCATABLE             :: Words_Ary       (:)               ! The array "words" parsed from the line.
-        CHARACTER(1024)                         :: Debug_String 
-        CHARACTER(*), PARAMETER                 :: RoutineName = 'ParseDbAry'
-        LOGICAL                                 :: CheckName_
-
-        ! Figure out if we're checking the name, default to .TRUE.
-        CheckName_ = .TRUE.
-        if (PRESENT(CheckName)) CheckName_ = CheckName 
-
-        ! If we've already failed, don't read anything
-        IF (ErrVar%aviFAIL >= 0) THEN
-            ! Read the whole line as a string
-            READ(Un, '(A)') Line
-
-            ! Allocate array and handle errors
-            ALLOCATE ( Ary(AryLen) , STAT=ErrStatLcl )
-            IF ( ErrStatLcl /= 0 ) THEN
-                IF ( ALLOCATED(Ary) ) THEN
-                    ErrVar%aviFAIL = -1
-                    ErrVar%ErrMsg = RoutineName//':Error allocating memory for the '//TRIM( AryName )//' array; array was already allocated.'
-                ELSE
-                    ErrVar%aviFAIL = -1
-                    ErrVar%ErrMsg = RoutineName//':Error allocating memory for '//TRIM(Int2LStr( AryLen ))//' characters in the '//TRIM( AryName )//' array.'
-                END IF
-            END IF
-        
-            ! Allocate words array
-            ALLOCATE ( Words_Ary( AryLen + 1 ) , STAT=ErrStatLcl )
-            IF ( ErrStatLcl /= 0 )  THEN
-                ErrVar%aviFAIL = -1
-                ErrVar%ErrMsg = RoutineName//':Fatal error allocating memory for the Words array.'
-                CALL Cleanup()
-                RETURN
-            ENDIF
-
-            ! Separate line string into AryLen + 1 words, should include variable name
-            CALL GetWords ( Line, Words_Ary, AryLen + 1 )  
-
-            ! Debug Output
-            IF (DEBUG_PARSING) THEN
-                Debug_String = ''
-                DO i = 1,AryLen+1
-                    Debug_String = TRIM(Debug_String)//TRIM(Words_Ary(i))
-                    IF (i < AryLen + 1) THEN
-                        Debug_String = TRIM(Debug_String)//','
-                    END IF
-                END DO
-                print *, 'Read: '//TRIM(Debug_String)//' on line ', LineNum
-            END IF
-
-            ! Check that Variable Name is at the end of Words, will also check length of array
-            IF (CheckName_) THEN
-                CALL ChkParseData ( Words_Ary(AryLen:AryLen+1), AryName, FileName, LineNum, ErrVar )
-            END IF
-        
-            ! Read array
-            READ (Line,*,IOSTAT=ErrStatLcl)  Ary
-            IF ( ErrStatLcl /= 0 )  THEN
-                ErrVar%aviFAIL = -1
-                ErrVar%ErrMsg = RoutineName//':A fatal error occurred when parsing data from "' &
-                                //TRIM( FileName )//'".'//NewLine//  &
-                                ' >> The "'//TRIM( AryName )//'" array was not assigned valid REAL values on line #' &
-                                //TRIM( Int2LStr( LineNum ) )//'.'//NewLine//' >> The text being parsed was :'//NewLine &
-                                //'    "'//TRIM( Line )//'"' 
-                RETURN
-                CALL Cleanup()         
-            ENDIF
-
-        !  IF ( PRESENT(UnEc) )  THEN
-        !     IF ( UnEc > 0 )  WRITE (UnEc,'(A)')  TRIM( FileInfo%Lines(LineNum) )
-        !  END IF
-
-            LineNum = LineNum + 1
-            CALL Cleanup()
-        ENDIF
-
-        RETURN
-
-        !=======================================================================
-        CONTAINS
-        !=======================================================================
-            SUBROUTINE Cleanup ( )
-
-                ! This subroutine cleans up the parent routine before exiting.
-
-                ! Deallocate the Words array if it had been allocated.
-
-                IF ( ALLOCATED( Words_Ary ) ) DEALLOCATE( Words_Ary )
-
-
-                RETURN
-
-            END SUBROUTINE Cleanup
-
-  END SUBROUTINE ParseDbAry
-
-  !=======================================================================
-!> This subroutine parses the specified line of text for AryLen INTEGER values.
-!! Generate an error message if the value is the wrong type.
-!! Use ParseAry (nwtc_io::parseary) instead of directly calling a specific routine in the generic interface.   
-  SUBROUTINE ParseInAry ( Un, LineNum, AryName, Ary, AryLen, FileName, ErrVar, CheckName )
-
-    USE ROSCO_Types, ONLY : ErrorVariables
-
-    ! Arguments declarations.
-    INTEGER(IntKi),             INTENT(IN   )   :: Un   ! Input file unit
-    INTEGER,                INTENT(IN   )   :: AryLen                        !< The length of the array to parse.
-
-    INTEGER(IntKi), ALLOCATABLE,   INTENT(INOUT)   :: Ary(:)            !< The array to receive the input values.
-
-    INTEGER(IntKi),             INTENT(INOUT)   :: LineNum                       !< The number of the line to parse.
-    CHARACTER(*),           INTENT(IN)      :: FileName                      !< The name of the file being parsed.
-
-
-    CHARACTER(*),           INTENT(IN   )   :: AryName                       !< The array name we are trying to fill.
-
-    TYPE(ErrorVariables),   INTENT(INOUT)   :: ErrVar   ! Current line of input
-
-    LOGICAL, OPTIONAL,      INTENT(IN   )   :: CheckName
-
-    ! Local declarations.
-
-    CHARACTER(1024)                         :: Line
-    INTEGER(IntKi)                              :: ErrStatLcl                    ! Error status local to this routine.
-    INTEGER(IntKi)                              :: i
-
-    CHARACTER(200), ALLOCATABLE             :: Words_Ary       (:)               ! The array "words" parsed from the line.
-    CHARACTER(1024)                         :: Debug_String 
-    CHARACTER(*), PARAMETER                 :: RoutineName = 'ParseInAry'
-
-    LOGICAL                                 :: CheckName_
-
-    ! Figure out if we're checking the name, default to .TRUE.
-    CheckName_ = .TRUE.
-    if (PRESENT(CheckName)) CheckName_ = CheckName    
-
-    ! If we've already failed, don't read anything
-    IF (ErrVar%aviFAIL >= 0) THEN
-        ! Read the whole line as a string
-        READ(Un, '(A)') Line
-
-        ! Allocate array and handle errors
-        ALLOCATE ( Ary(AryLen) , STAT=ErrStatLcl )
-        IF ( ErrStatLcl /= 0 ) THEN
-            IF ( ALLOCATED(Ary) ) THEN
-                ErrVar%aviFAIL = -1
-                ErrVar%ErrMsg = RoutineName//':Error allocating memory for the '//TRIM( AryName )//' array; array was already allocated.'
-            ELSE
-                ErrVar%aviFAIL = -1
-                ErrVar%ErrMsg = RoutineName//':Error allocating memory for '//TRIM(Int2LStr( AryLen ))//' characters in the '//TRIM( AryName )//' array.'
-            END IF
-        END IF
-    
-        ! Allocate words array
-        ALLOCATE ( Words_Ary( AryLen + 1 ) , STAT=ErrStatLcl )
-        IF ( ErrStatLcl /= 0 )  THEN
-            ErrVar%aviFAIL = -1
-            ErrVar%ErrMsg = RoutineName//':Fatal error allocating memory for the Words array.'
-            CALL Cleanup()
-            RETURN
-        ENDIF
-
-        ! Separate line string into AryLen + 1 words, should include variable name
-        CALL GetWords ( Line, Words_Ary, AryLen + 1 )  
-
-        ! Debug Output
-        IF (DEBUG_PARSING) THEN
-            Debug_String = ''
-            DO i = 1,AryLen+1
-                Debug_String = TRIM(Debug_String)//TRIM(Words_Ary(i))
-                IF (i < AryLen + 1) THEN
-                    Debug_String = TRIM(Debug_String)//','
-                END IF
-            END DO
-            print *, 'Read: '//TRIM(Debug_String)//' on line ', LineNum
-        END IF
-
-        ! Check that Variable Name is at the end of Words, will also check length of array
-        IF (CheckName_) THEN
-            CALL ChkParseData ( Words_Ary(AryLen:AryLen+1), AryName, FileName, LineNum, ErrVar )
-        END IF
-    
-        ! Read array
-        READ (Line,*,IOSTAT=ErrStatLcl)  Ary
-        IF ( ErrStatLcl /= 0 )  THEN
-            ErrVar%aviFAIL = -1
-            ErrVar%ErrMsg = RoutineName//':A fatal error occurred when parsing data from "' &
-                            //TRIM( FileName )//'".'//NewLine//  &
-                            ' >> The "'//TRIM( AryName )//'" array was not assigned valid REAL values on line #' &
-                            //TRIM( Int2LStr( LineNum ) )//'.'//NewLine//' >> The text being parsed was :'//NewLine &
-                            //'    "'//TRIM( Line )//'"' 
-            RETURN
-            CALL Cleanup()         
-        ENDIF
-
-    !  IF ( PRESENT(UnEc) )  THEN
-    !     IF ( UnEc > 0 )  WRITE (UnEc,'(A)')  TRIM( FileInfo%Lines(LineNum) )
-    !  END IF
-
-        LineNum = LineNum + 1
-        CALL Cleanup()
-    ENDIF
-
-    RETURN
-
-    !=======================================================================
-    CONTAINS
-    !=======================================================================
-        SUBROUTINE Cleanup ( )
-
-            ! This subroutine cleans up the parent routine before exiting.
-
-            ! Deallocate the Words array if it had been allocated.
-
-            IF ( ALLOCATED( Words_Ary ) ) DEALLOCATE( Words_Ary )
-
-
-            RETURN
-
-        END SUBROUTINE Cleanup
-
-END SUBROUTINE ParseInAry
-
-!=======================================================================
- !> This subroutine checks the data to be parsed to make sure it finds
-    !! the expected variable name and an associated value.
-SUBROUTINE ChkParseData ( Words, ExpVarName, FileName, FileLineNum, ErrVar )
-
-    USE ROSCO_Types, ONLY : ErrorVariables
-
-
-        ! Arguments declarations.
-    TYPE(ErrorVariables),         INTENT(INOUT)          :: ErrVar   ! Current line of input
-
-    INTEGER(IntKi), INTENT(IN)             :: FileLineNum                   !< The number of the line in the file being parsed.
-    INTEGER(IntKi)                        :: NameIndx                      !< The index into the Words array that points to the variable name.
-
-    CHARACTER(*),   INTENT(IN)             :: ExpVarName                    !< The expected variable name.
-    CHARACTER(*),   INTENT(IN)             :: Words       (2)               !< The two words to be parsed from the line.
-
-    CHARACTER(*),   INTENT(IN)             :: FileName                      !< The name of the file being parsed.
-
-
-        ! Local declarations.
-
-    CHARACTER(20)                          :: ExpUCVarName                  ! The uppercase version of ExpVarName.
-    CHARACTER(20)                          :: FndUCVarName                  ! The uppercase version of the word being tested.
-
-
-
-
-        ! Convert the found and expected names to uppercase.
-
-    FndUCVarName = Words(1)
-    ExpUCVarName = ExpVarName
-
-    CALL Conv2UC ( FndUCVarName )
-    CALL Conv2UC ( ExpUCVarName )
-
-    ! See which word is the variable name.  Generate an error if it is the first
-        
-    IF ( TRIM( FndUCVarName ) == TRIM( ExpUCVarName ) )  THEN
-        NameIndx = 1
-            ErrVar%aviFAIL = -1
-            ErrVar%ErrMsg = ' >> A fatal error occurred when parsing data from "'//TRIM( FileName ) &
-                            //'".'//NewLine//' >> The variable "'//TRIM( Words(1) )//'" was not assigned a valid value on line #' &
-                            //TRIM( Int2LStr( FileLineNum ) )//'.' 
-        RETURN
-    ELSE
-        FndUCVarName = Words(2)
-        CALL Conv2UC ( FndUCVarName )
-        IF ( TRIM( FndUCVarName ) == TRIM( ExpUCVarName ) )  THEN
-        NameIndx = 2
-        ELSE
-            ErrVar%aviFAIL = -1
-            ErrVar%ErrMsg = ' >> A fatal error occurred when parsing data from "'//TRIM( FileName ) &
-                            //'".'//NewLine//' >> The variable "'//TRIM( ExpVarName )//'" was not assigned a valid value on line #' &
-                            //TRIM( Int2LStr( FileLineNum ) )//'.' 
-        RETURN
-        ENDIF
-    ENDIF
-
-
-END SUBROUTINE ChkParseData 
-
-!=======================================================================
-subroutine ReadEmptyLine(Un,CurLine)
-    INTEGER(IntKi),         INTENT(IN   )          :: Un   ! Input file unit
-    INTEGER(IntKi),         INTENT(INOUT)          :: CurLine   ! Current line of input
-
-    CHARACTER(1024)                            :: Line
-
-    READ(Un, '(A)') Line
-    CurLine = CurLine + 1
-
-END subroutine ReadEmptyLine
-
-!=======================================================================
-!> This subroutine is used to get the NumWords "words" from a line of text.
-!! It uses spaces, tabs, commas, semicolons, single quotes, and double quotes ("whitespace")
-!! as word separators. If there aren't NumWords in the line, the remaining array elements will remain empty.
-!! Use CountWords (nwtc_io::countwords) to count the number of words in a line.
-SUBROUTINE GetWords ( Line, Words, NumWords )
-
-    ! Argument declarations.
-
-    INTEGER, INTENT(IN)          :: NumWords                                     !< The number of words to look for.
-
-    CHARACTER(*), INTENT(IN)     :: Line                                         !< The string to search.
-    CHARACTER(*), INTENT(OUT)    :: Words(NumWords)                              !< The array of found words.
-
-
-        ! Local declarations.
-
-    INTEGER                      :: Ch                                           ! Character position within the string.
-    INTEGER                      :: IW                                           ! Word index.
-    INTEGER                      :: NextWhite                                    ! The location of the next whitespace in the string.
-    CHARACTER(1), PARAMETER       :: Tab      = CHAR( 9 ) 
-
-
-
-        ! Let's prefill the array with blanks.
-
-    DO IW=1,NumWords
-        Words(IW) = ' '
-    END DO ! IW
-
-
-        ! Let's make sure we have text on this line.
-
-    IF ( LEN_TRIM( Line ) == 0 )  RETURN
-
-
-        ! Parse words separated by any combination of spaces, tabs, commas,
-        ! semicolons, single quotes, and double quotes ("whitespace").
-
-    Ch = 0
-    IW = 0
-
-    DO
-
-        NextWhite = SCAN( Line(Ch+1:) , ' ,!;''"'//Tab )
-
-        IF ( NextWhite > 1 )  THEN
-
-        IW        = IW + 1
-        Words(IW) = Line(Ch+1:Ch+NextWhite-1)
-
-        IF ( IW == NumWords )  EXIT
-
-        Ch = Ch + NextWhite
-
-        ELSE IF ( NextWhite == 1 )  THEN
-
-        Ch = Ch + 1
-
-        CYCLE
-
-        ELSE
-
-        EXIT
-
-        END IF
-
-    END DO
-
-
-    RETURN
-END SUBROUTINE GetWords
-!=======================================================================
-!> Let's parse the path name from the name of the given file.
-!! We'll count everything before (and including) the last "\" or "/".
-SUBROUTINE GetPath ( GivenFil, PathName )
-
-    ! Argument declarations.
-
- CHARACTER(*), INTENT(IN)     :: GivenFil                                     !< The name of the given file.
- CHARACTER(*), INTENT(OUT)    :: PathName                                     !< The path name of the given file (based solely on the GivenFil text string).
-
-
-    ! Local declarations.
-
- INTEGER                      :: I                                            ! DO index for character position.
-
-
-    ! Look for path separators
-
- I = INDEX( GivenFil, '\', BACK=.TRUE. )
- I = MAX( I, INDEX( GivenFil, '/', BACK=.TRUE. ) )
-
- IF ( I == 0 ) THEN
-    ! we don't have a path specified, return '.'
-    PathName = '.'//PathSep
- ELSE
-    PathName = GivenFil(:I)
- END IF
-
-
- RETURN
- END SUBROUTINE GetPath
-!=======================================================================
-!> This routine determines if the given file name is absolute or relative.
-!! We will consider an absolute path one that satisfies one of the
-!! following four criteria:
-!!     1. It contains ":/"
-!!     2. It contains ":\"
-!!     3. It starts with "/"
-!!     4. It starts with "\"
-!!   
-!! All others are considered relative.
- FUNCTION PathIsRelative ( GivenFil )
-
-    ! Argument declarations.
-
- CHARACTER(*), INTENT(IN)     :: GivenFil                                            !< The name of the given file.
- LOGICAL                      :: PathIsRelative                                      !< The function return value
-
- 
-
-    ! Determine if file name begins with an absolute path name or if it is relative 
-    !    note that Doxygen has serious issues if you use the single quote instead of  
-    !    double quote characters in the strings below:
-
- PathIsRelative = .FALSE.
-
- IF ( ( INDEX( GivenFil, ":/") == 0 ) .AND. ( INDEX( GivenFil, ":\") == 0 ) ) THEN   ! No drive is specified (by ":\" or ":/")
-
-    IF ( INDEX( "/\", GivenFil(1:1) ) == 0 ) THEN                                    ! The file name doesn't start with "\" or "/"
-
-       PathIsRelative = .TRUE.
-
-    END IF
-
- END IF
-
- RETURN
- END FUNCTION PathIsRelative
-!=======================================================================
-! ------------------------------------------------------
-    ! Read Open Loop Control Inputs
-    ! 
-    ! Timeseries or lookup tables of the form
-    ! index (time or wind speed)   channel_1 \t channel_2 \t channel_3 ...
-    ! This could be used to read any group of data of unspecified length ...
-SUBROUTINE Read_OL_Input(OL_InputFileName, Unit_OL_Input, NumChannels, Channels, ErrVar)
-
-    USE ROSCO_Types, ONLY : ErrorVariables
-
-    CHARACTER(1024), INTENT(IN)                             :: OL_InputFileName    ! DISCON input filename
-    INTEGER(IntKi), INTENT(IN)                              :: Unit_OL_Input 
-    INTEGER(IntKi), INTENT(IN)                              :: NumChannels     ! Number of open loop channels being defined
-    ! REAL(DbKi), INTENT(OUT), DIMENSION(:), ALLOCATABLE      :: Breakpoints    ! Breakpoints of open loop Channels
-    REAL(DbKi), INTENT(OUT), DIMENSION(:,:), ALLOCATABLE    :: Channels         ! Open loop channels
-    TYPE(ErrorVariables),         INTENT(INOUT)          :: ErrVar   ! Current line of input
-
-
-    LOGICAL                                                 :: FileExists
-    INTEGER                                                 :: IOS                                                 ! I/O status of OPEN.
-    CHARACTER(1024)                                         :: Line              ! Temp variable for reading whole line from file
-    INTEGER(IntKi)                                          :: NumComments
-    INTEGER(IntKi)                                          :: NumDataLines
-    REAL(DbKi)                                              :: TmpData(NumChannels)  ! Temp variable for reading all columns from a line
-    CHARACTER(15)                                           :: NumString
-
-    INTEGER(IntKi)                                          :: I,J
-
-    CHARACTER(*),               PARAMETER                   :: RoutineName = 'Read_OL_Input'
-
-    !-------------------------------------------------------------------------------------------------
-    ! Read from input file, borrowed (read: copied) from (Open)FAST team...thanks!
-    !-------------------------------------------------------------------------------------------------
-
-    !-------------------------------------------------------------------------------------------------
-    ! Open the file for reading
-    !-------------------------------------------------------------------------------------------------
-
-    INQUIRE (FILE = OL_InputFileName, EXIST = FileExists)
-
-    IF ( .NOT. FileExists) THEN
-        ErrVar%aviFAIL = -1
-        ErrVar%ErrMsg = TRIM(OL_InputFileName)// ' does not exist'
-
-    ELSE
-
-        OPEN( Unit_OL_Input, FILE=TRIM(OL_InputFileName), STATUS='OLD', FORM='FORMATTED', IOSTAT=IOS, ACTION='READ' )
-
-        IF (IOS /= 0) THEN
-            ErrVar%aviFAIL = -1
-            ErrVar%ErrMsg = 'Cannot open '//TRIM(OL_InputFileName)
-        
-        ELSE
-            ! Do all the stuff!
-            !-------------------------------------------------------------------------------------------------
-            ! Find the number of comment lines
-            !-------------------------------------------------------------------------------------------------
-
-            LINE = '!'                          ! Initialize the line for the DO WHILE LOOP
-            NumComments = -1                    ! the last line we read is not a comment, so we'll initialize this to -1 instead of 0
-
-            DO WHILE ( (INDEX( LINE, '!' ) > 0) .OR. (INDEX( LINE, '#' ) > 0) .OR. (INDEX( LINE, '%' ) > 0) ) ! Lines containing "!" are treated as comment lines
-                NumComments = NumComments + 1
-                
-                READ(Unit_OL_Input,'( A )',IOSTAT=IOS) LINE
-
-                ! NWTC_IO has some error catching here that we'll skip for now
-        
-            END DO !WHILE
-
-            !-------------------------------------------------------------------------------------------------
-            ! Find the number of data lines
-            !-------------------------------------------------------------------------------------------------
-
-            NumDataLines = 0
-
-            READ(LINE,*,IOSTAT=IOS) ( TmpData(I), I=1,NumChannels ) ! this line was read when we were figuring out the comment lines; let's make sure it contains
-
-            DO WHILE (IOS == 0)  ! read the rest of the file (until an error occurs)
-                NumDataLines = NumDataLines + 1
-                
-                READ(Unit_OL_Input,*,IOSTAT=IOS) ( TmpData(I), I=1,NumChannels )
-            
-            END DO !WHILE
-        
-        
-            IF (NumDataLines < 1) THEN
-                WRITE (NumString,'(I11)')  NumComments
-                ErrVar%aviFAIL = -1
-                ErrVar%ErrMsg = 'Error: '//TRIM(NumString)//' comment lines were found in the uniform wind file, '// &
-                            'but the first data line does not contain the proper format.'
-                CLOSE(Unit_OL_Input)
-            END IF
-
-            !-------------------------------------------------------------------------------------------------
-            ! Allocate arrays for the uniform wind data
-            !-------------------------------------------------------------------------------------------------
-            ALLOCATE(Channels(NumDataLines,NumChannels))
-
-            !-------------------------------------------------------------------------------------------------
-            ! Rewind the file (to the beginning) and skip the comment lines
-            !-------------------------------------------------------------------------------------------------
-
-            REWIND( Unit_OL_Input )
-
-            DO I=1,NumComments
-                READ(Unit_OL_Input,'( A )',IOSTAT=IOS) LINE
-            END DO !I
-        
-            !-------------------------------------------------------------------------------------------------
-            ! Read the data arrays
-            !-------------------------------------------------------------------------------------------------
-        
-            DO I=1,NumDataLines
-            
-                READ(Unit_OL_Input,*,IOSTAT=IOS) ( TmpData(J), J=1,NumChannels )
-
-                IF (IOS > 0) THEN
-                    CLOSE(Unit_OL_Input)
-                END IF
-
-                Channels(I,:)        = TmpData
-        
-            END DO !I     
-        END IF
-    END IF
-
-    IF (ErrVar%aviFAIL < 0) THEN
-        ErrVar%ErrMsg = RoutineName//':'//TRIM(ErrVar%ErrMsg)
-    ENDIF
-
-END SUBROUTINE Read_OL_Input
-
 END MODULE ReadSetParameters
diff --git a/ROSCO/ROSCO/src/SysFiles/SysGnuLinux.f90 b/ROSCO/ROSCO/src/SysFiles/SysGnuLinux.f90
index f83606bd6..925b57b60 100644
--- a/ROSCO/ROSCO/src/SysFiles/SysGnuLinux.f90
+++ b/ROSCO/ROSCO/src/SysFiles/SysGnuLinux.f90
@@ -82,7 +82,7 @@ FUNCTION dlOpen(filename,mode) BIND(C,NAME="dlopen")
     
         IF( .NOT. C_ASSOCIATED(DLL%FileAddrX) ) THEN
         ErrStat = -1
-        WRITE(ErrMsg,'(I2)') BITS_IN_ADDR
+        ! WRITE(ErrMsg,'(I2)') BITS_IN_ADDR
         ErrMsg  = 'The dynamic library '//TRIM(DLL%FileName)//' could not be loaded. Check that the file '// &
                     'exists in the specified location and that it is compiled for '//TRIM(ErrMsg)//'-bit applications.'
         RETURN
diff --git a/ROSCO/ROSCO/src/SysFiles/SysGnuWin.f90 b/ROSCO/ROSCO/src/SysFiles/SysGnuWin.f90
index bd3ef3965..3d40f0e23 100644
--- a/ROSCO/ROSCO/src/SysFiles/SysGnuWin.f90
+++ b/ROSCO/ROSCO/src/SysFiles/SysGnuWin.f90
@@ -79,7 +79,7 @@ END FUNCTION LoadLibrary
         DLL%FileAddr = LoadLibrary( TRIM(DLL%FileName)//C_NULL_CHAR )  !the "C_NULL_CHAR" converts the Fortran string to a C-type string (i.e., adds //CHAR(0) to the end)
         IF ( DLL%FileAddr == INT(0,C_INTPTR_T) ) THEN
            ErrStat = ErrID_Fatal
-           WRITE(ErrMsg,'(I2)') BITS_IN_ADDR
+         !   WRITE(ErrMsg,'(I2)') BITS_IN_ADDR
            ErrMsg  = 'The dynamic library '//TRIM(DLL%FileName)//' could not be loaded. Check that the file '// &
                     'exists in the specified location and that it is compiled for '//TRIM(ErrMsg)//'-bit applications.'
            RETURN
diff --git a/ROSCO/ROSCO/src/SysFiles/SysIFL.f90 b/ROSCO/ROSCO/src/SysFiles/SysIFL.f90
index 46a591a9b..4ff4b19d1 100644
--- a/ROSCO/ROSCO/src/SysFiles/SysIFL.f90
+++ b/ROSCO/ROSCO/src/SysFiles/SysIFL.f90
@@ -84,7 +84,7 @@ FUNCTION dlOpen(filename,mode) BIND(C,NAME="dlopen")
      
         IF( .NOT. C_ASSOCIATED(DLL%FileAddrX) ) THEN
            ErrStat = ErrID_Fatal
-           WRITE(ErrMsg,'(I2)') BITS_IN_ADDR
+         !   WRITE(ErrMsg,'(I2)') BITS_IN_ADDR
            ErrMsg  = 'The dynamic library '//TRIM(DLL%FileName)//' could not be loaded. Check that the file '// &
                      'exists in the specified location and that it is compiled for '//TRIM(ErrMsg)//'-bit applications.'
            RETURN
diff --git a/ROSCO/ROSCO/src/SysFiles/SysIVF.f90 b/ROSCO/ROSCO/src/SysFiles/SysIVF.f90
index dc29db547..c0d81cb03 100644
--- a/ROSCO/ROSCO/src/SysFiles/SysIVF.f90
+++ b/ROSCO/ROSCO/src/SysFiles/SysIVF.f90
@@ -60,7 +60,7 @@ SUBROUTINE LoadDynamicLib ( DLL, ErrStat, ErrMsg )
      
         IF ( DLL%FileAddr == INT(0,C_INTPTR_T) ) THEN
            ErrStat = ErrID_Fatal
-           WRITE(ErrMsg,'(I2)') BITS_IN_ADDR
+         !   WRITE(ErrMsg,'(I2)') BITS_IN_ADDR
            ErrMsg  = 'The dynamic library '//TRIM(DLL%FileName)//' could not be loaded. Check that the file '// &
                     'exists in the specified location and that it is compiled for '//TRIM(ErrMsg)//'-bit applications.'
            RETURN
diff --git a/ROSCO/ROSCO/src/ZeroMQInterface.f90 b/ROSCO/ROSCO/src/ZeroMQInterface.f90
new file mode 100644
index 000000000..88ea2ecfc
--- /dev/null
+++ b/ROSCO/ROSCO/src/ZeroMQInterface.f90
@@ -0,0 +1,77 @@
+module ZeroMQInterface
+    USE, INTRINSIC :: ISO_C_BINDING, only: C_CHAR, C_DOUBLE, C_NULL_CHAR
+    IMPLICIT NONE
+    ! 
+
+CONTAINS
+    SUBROUTINE UpdateZeroMQ(LocalVar, CntrPar, zmqVar, ErrVar)
+        USE ROSCO_Types, ONLY : LocalVariables, ControlParameters, ZMQ_Variables, ErrorVariables
+        IMPLICIT NONE
+        TYPE(LocalVariables),    INTENT(INOUT) :: LocalVar
+        TYPE(ControlParameters), INTENT(INOUT) :: CntrPar
+        TYPE(ZMQ_Variables),     INTENT(INOUT) :: zmqVar
+        TYPE(ErrorVariables),    INTENT(INOUT) :: ErrVar
+
+        character(256) :: zmq_address
+        real(C_DOUBLE) :: setpoints(5)
+        real(C_DOUBLE) :: turbine_measurements(16)
+        CHARACTER(*), PARAMETER                 :: RoutineName = 'UpdateZeroMQ'
+
+        ! C interface with ZeroMQ client
+#ifdef ZMQ_CLIENT
+        interface
+            subroutine zmq_client(zmq_address, measurements, setpoints) bind(C, name="zmq_client")
+                import :: C_CHAR, C_DOUBLE
+                implicit none
+                character(C_CHAR), intent(out) :: zmq_address(*)
+                real(C_DOUBLE) :: measurements(16)
+                real(C_DOUBLE) :: setpoints(5)
+            end subroutine zmq_client
+        end interface
+#endif
+		
+		! Communicate if threshold has been reached
+		IF ((MODULO(LocalVar%Time, CntrPar%ZMQ_UpdatePeriod) == 0) .OR. (LocalVar%iStatus == -1)) THEN
+			! Collect measurements to be sent to ZeroMQ server
+			turbine_measurements(1) = LocalVar%iStatus
+			turbine_measurements(2) = LocalVar%Time
+			turbine_measurements(3) = LocalVar%VS_MechGenPwr
+			turbine_measurements(4) = LocalVar%VS_GenPwr
+			turbine_measurements(5) = LocalVar%GenSpeed
+			turbine_measurements(6) = LocalVar%RotSpeed
+			turbine_measurements(7) = LocalVar%GenTqMeas
+			turbine_measurements(8) = LocalVar%NacHeading
+			turbine_measurements(9) = LocalVar%NacVane
+			turbine_measurements(10) = LocalVar%HorWindV
+			turbine_measurements(11) = LocalVar%rootMOOP(1)
+			turbine_measurements(12) = LocalVar%rootMOOP(2)
+			turbine_measurements(13) = LocalVar%rootMOOP(3)
+			turbine_measurements(14) = LocalVar%FA_Acc
+			turbine_measurements(15) = LocalVar%NacIMU_FA_Acc
+			turbine_measurements(16) = LocalVar%Azimuth
+
+			write (zmq_address, "(A,A)") TRIM(CntrPar%ZMQ_CommAddress), C_NULL_CHAR
+#ifdef ZMQ_CLIENT
+			call zmq_client(zmq_address, turbine_measurements, setpoints)
+#else
+            ! Add RoutineName to error message
+            ErrVar%aviFAIL = -1
+            IF (CntrPar%ZMQ_Mode > 0) THEN
+                ErrVar%ErrMsg = " >> The ZeroMQ client has not been properly installed, " &
+                                //"please install it to use ZMQ_Mode > 0."
+                ErrVar%ErrMsg = RoutineName//':'//TRIM(ErrVar%ErrMsg)
+            ENDIF
+#endif
+
+			! write (*,*) "ZeroMQInterface: torque setpoint from ssc: ", setpoints(1)
+			! write (*,*) "ZeroMQInterface: yaw setpoint from ssc: ", setpoints(2)
+			! write (*,*) "ZeroMQInterface: pitch 1 setpoint from ssc: ", setpoints(3)
+			! write (*,*) "ZeroMQInterface: pitch 2 setpoint from ssc: ", setpoints(4)
+			! write (*,*) "ZeroMQInterface: pitch 3 setpoint from ssc: ", setpoints(5)
+			zmqVar%Yaw_Offset = setpoints(2)
+			
+		ENDIF
+
+
+    END SUBROUTINE UpdateZeroMQ
+end module ZeroMQInterface
\ No newline at end of file
diff --git a/ROSCO/ROSCO/src/zmq_client.c b/ROSCO/ROSCO/src/zmq_client.c
new file mode 100644
index 000000000..0e3974a28
--- /dev/null
+++ b/ROSCO/ROSCO/src/zmq_client.c
@@ -0,0 +1,95 @@
+#include <stdio.h>
+#include <stdlib.h>
+#include <string.h>
+#include <math.h>
+#include <zmq.h>
+
+
+void delete_blank_spaces_in_string(char *s)
+{
+	int  i,k=0;
+	 for(i=0;s[i];i++)
+    {
+     	s[i]=s[i+k];
+     	if(s[i]==' '|| s[i]=='\t')
+     	{
+		  k++;
+		  i--;
+	    }
+    }
+}
+
+
+int zmq_client (
+    char *zmq_address,
+    double measurements[16],
+    double setpoints[5]
+)
+{
+	int num_measurements = 16;  // Number of setpoints and measurements, respectively, and float precision (character length)
+	int char_buffer_size_single = 20; // Char buffer for a single measurement
+    int char_buffer_size_array = (num_measurements * (char_buffer_size_single + 1));  // Char buffer for full messages to and from ROSCO
+	char string_to_ssc[char_buffer_size_array];
+    char string_from_ssc[char_buffer_size_array];
+
+	int verbose = 0; // Variable to define verbose
+	
+    if (verbose == 1) {
+        printf ("Connecting to ZeroMQ server at %s...\n", zmq_address);
+    }
+
+    // Open connection with ZeroMQ server
+    void *context = zmq_ctx_new ();
+    void *requester = zmq_socket (context, ZMQ_REQ);
+    zmq_connect (requester, zmq_address);  // string_to_zmq is something like "tcp://localhost:5555"
+
+    // Create a string with measurements to be sent to ZeroMQ server (e.g., Python)
+    char a[char_buffer_size_array], b[char_buffer_size_single];
+    sprintf(b, "%.6e", measurements[0]);
+	strncpy(a, b, char_buffer_size_single);
+    //printf ("zmq_client.c: a[char_buffer_size_single]: measurements[0]: %s\n", a);
+    int i = 1;
+    while (i < num_measurements) {
+		strcat(a, ",");  // Add a comma
+		sprintf(b, "%.6e", measurements[i]);  // Add value
+        strcat(a, b);  // Concatenate b to a
+        //printf ("zmq_client.c: b[char_buffer_size_single]: measurements[i]: %s\n", b);
+        //printf (" --> zmq_client.c: a[char_buffer_size_single]: measurements[i]: %s\n", a);
+        i = i + 1;
+    }
+    strncpy(string_to_ssc, a, char_buffer_size_array);
+
+    // Print the string
+    if (verbose == 1) {
+        printf ("zmq_client.c: string_to_ssc: %s…\n", string_to_ssc);
+    }
+
+    // Core ZeroMQ communication: receive data and send back signals
+    zmq_send (requester, string_to_ssc, char_buffer_size_array, 0);
+    zmq_recv (requester, string_from_ssc, char_buffer_size_array, 0);
+
+    if (verbose == 1) {
+        printf ("zmq_client.c: Received a response: %s\n", string_from_ssc);
+    }
+
+    // Convert string_from_ssc string to separate floats
+    delete_blank_spaces_in_string(string_from_ssc);
+    char *pt;
+    pt = strtok (string_from_ssc,",");
+    i = 0;
+    while (pt != NULL) {
+        double dtmp = atof(pt);
+        if (verbose == 1) {
+            printf("pt subloop: %s (var), %f (double) \n", pt, dtmp);
+            printf("zmq_client.c: setpoint[%d]: %f \n", i, dtmp);
+        }
+        pt = strtok (NULL, ",");
+        setpoints[i] = dtmp;  // Save values to setpoints
+        i = i + 1;
+    }
+
+    // Close connection
+    zmq_close (requester);
+    zmq_ctx_destroy (context);
+    return 0;
+}
\ No newline at end of file
diff --git a/ROSCO/ROSCO_testing/regtest.py b/ROSCO/ROSCO_testing/test_checkpoint.py
similarity index 100%
rename from ROSCO/ROSCO_testing/regtest.py
rename to ROSCO/ROSCO_testing/test_checkpoint.py
diff --git a/ROSCO/ROSCO_toolbox/__init__.py b/ROSCO/ROSCO_toolbox/__init__.py
index 87556368c..afbd37e5f 100644
--- a/ROSCO/ROSCO_toolbox/__init__.py
+++ b/ROSCO/ROSCO_toolbox/__init__.py
@@ -3,4 +3,4 @@
 
 __author__ = """Nikhar J. Abbas and Daniel S. Zalkind"""
 __email__ = 'nikhar.abbas@nrel.gov'
-__version__ = '2.5.0'
+__version__ = '2.6.0'
diff --git a/ROSCO/ROSCO_toolbox/control_interface.py b/ROSCO/ROSCO_toolbox/control_interface.py
index f273ae179..5514bf6a4 100644
--- a/ROSCO/ROSCO_toolbox/control_interface.py
+++ b/ROSCO/ROSCO_toolbox/control_interface.py
@@ -9,10 +9,10 @@
 # CONDITIONS OF ANY KIND, either express or implied. See the License for the
 # specific language governing permissions and limitations under the License.
 
-from ctypes import byref, cdll, c_int, POINTER, c_float, c_char_p, c_double, create_string_buffer, c_int32, c_void_p
+from ctypes import byref, cdll, POINTER, c_float, c_char_p, c_double, create_string_buffer, c_int32, c_void_p
 import numpy as np
-from numpy.ctypeslib import ndpointer
 import platform, ctypes
+import zmq
 
 # Some useful constants
 deg2rad = np.deg2rad(1)
@@ -85,8 +85,7 @@ def init_discon(self):
         # Torque initial condition
         self.avrSWAP[22]    = 0
 
-
-        # Code this as first casll
+        # Code this as first call
         self.avrSWAP[0] = 0
 
         # Put some values in
@@ -98,7 +97,6 @@ def init_discon(self):
         # Initialize DISCON and related
         self.aviFAIL = c_int32() # 1
         self.accINFILE = self.param_name.encode('utf-8')
-        # self.avcOUTNAME = create_string_buffer(1000) # 'DEMO'.encode('utf-8')
         self.avcOUTNAME = (self.sim_name + '.RO.dbg').encode('utf-8')
         self.avcMSG = create_string_buffer(1000)
         self.discon.DISCON.argtypes = [POINTER(c_float), POINTER(c_int32), c_char_p, c_char_p, c_char_p] # (all defined by ctypes)
@@ -106,7 +104,7 @@ def init_discon(self):
         # Run DISCON
         self.call_discon()
 
-        # Code as not first run
+        # Code as not first run now that DISCON has been initialized
         self.avrSWAP[0] = 1
 
 
@@ -126,43 +124,52 @@ def call_discon(self):
         self.avrSWAP = data
 
 
-    def call_controller(self,t,dt,pitch,torque,genspeed,geneff,rotspeed,ws,NacIMU_FA_Acc=0):
+    def call_controller(self, turbine_state, end=False): 
         '''
         Runs the controller. Passes current turbine state to the controller, and returns control inputs back
         
         Parameters:
         -----------
-        t: float
-           time, (s)
-        dt: float
-            timestep, (s)
-        pitch: float
-               blade pitch, (rad)
-        genspeed: float
-                  generator speed, (rad/s)
-        geneff: float
-                  generator efficiency, (rad/s)
-        rotspeed: float
-                  rotor speed, (rad/s)
-        ws: float
-            wind speed, (m/s)
-        NacIMU_FA_Acc : float
-            nacelle IMU accel. in the nodding dir. , (m/s**2)
-            default to 0 (fixed-bottom, simple 1-DOF sim does not include it, but OpenFAST linearizations do)
+        turbine_state: dict
+            t: float
+                time, (s)
+            dt: float
+                timestep, (s)
+            pitch: float
+                blade pitch, (rad)
+            genspeed: float
+                    generator speed, (rad/s)
+            geneff: float
+                    generator efficiency, (rad/s)
+            rotspeed: float
+                    rotor speed, (rad/s)
+            ws: float
+                wind speed, (m/s)
+            yaw: float, optional
+                nacelle yaw position (from north) (deg)
+            yawerr: float, optional
+                yaw misalignment, defined as the wind direction minus the yaw
+                position (deg)
         '''
 
         # Add states to avr
-        self.avrSWAP[1] = t
-        self.avrSWAP[2] = dt
-        self.avrSWAP[3] = pitch
-        self.avrSWAP[32] = pitch
-        self.avrSWAP[33] = pitch
-        self.avrSWAP[14] = genspeed*torque*geneff
-        self.avrSWAP[22] = torque
-        self.avrSWAP[19] = genspeed
-        self.avrSWAP[20] = rotspeed
-        self.avrSWAP[26] = ws
-        self.avrSWAP[82] = NacIMU_FA_Acc
+        self.avrSWAP[0] = turbine_state['iStatus']
+        self.avrSWAP[1] = turbine_state['t']
+        self.avrSWAP[2] = turbine_state['dt']
+        self.avrSWAP[3] =  turbine_state['bld_pitch']
+        self.avrSWAP[32] = turbine_state['bld_pitch']
+        self.avrSWAP[33] = turbine_state['bld_pitch']
+        self.avrSWAP[14] = turbine_state['gen_speed'] * turbine_state['gen_torque'] * turbine_state['gen_eff']
+        self.avrSWAP[22] = turbine_state['gen_torque']
+        self.avrSWAP[19] = turbine_state['gen_speed']
+        self.avrSWAP[20] = turbine_state['rot_speed']
+        self.avrSWAP[23] = turbine_state['Y_MeasErr']
+        self.avrSWAP[26] = turbine_state['ws']
+        self.avrSWAP[36] = turbine_state['Yaw_fromNorth']
+        try:
+            self.avrSWAP[82] = turbine_state['NacIMU_FA_Acc']
+        except KeyError:
+            self.avrSWAP[82] = 0
 
         # call controller
         self.call_discon()
@@ -170,8 +177,9 @@ def call_controller(self,t,dt,pitch,torque,genspeed,geneff,rotspeed,ws,NacIMU_FA
         # return controller states
         self.pitch = self.avrSWAP[41]
         self.torque = self.avrSWAP[46]
+        self.nac_yawrate = self.avrSWAP[47]
 
-        return(self.torque,self.pitch)
+        return(self.torque,self.pitch,self.nac_yawrate)
 
     def show_control_values(self):
         '''
@@ -254,3 +262,204 @@ def null_free_dll(*spam):  # pragma: no cover
         dlclose(handle)
 
         del self.discon
+
+
+class farm_zmq_server():
+    def __init__(self, network_addresses=["tcp://*:5555", "tcp://*:5556"],
+                 identifiers=None, timeout=600.0, verbose=False):
+        """Python implementation for communicating with multiple instances
+        of the ROSCO ZeroMQ interface. This is useful for SOWFA and FAST.Farm
+        simulations in which multiple turbines are running in real time.
+        Args:
+            network_addresses (str, optional): List with the network addresses
+            used to communicate with the desired instances of ROSCO.
+            identifiers (iteratible, optional): List of strings denoting the
+            turbine identification string, e.g., ["WTG-01", "WTG-02"].
+            If left unspecified, will simple name the turbines "0" to
+            nturbs - 1.
+            timeout (float, optional): Seconds to wait for a message from
+            the ZeroMQ server before timing out. Defaults to 600.0.
+            verbose (bool, optional): Print to console. Defaults to False.
+        """
+        self.network_addresses = network_addresses
+        self.verbose = verbose
+        self.nturbs = len(self.network_addresses)
+
+        if identifiers is None:
+            identifiers = ["%d" % i for i in range(self.nturbs)]
+
+        # Initialize ZeroMQ servers
+        self.zmq_servers = [None for _ in range(self.nturbs)]
+        for ti, address in enumerate(self.network_addresses):
+            self.zmq_servers[ti] = turbine_zmq_server(
+                network_address=address,
+                identifier=identifiers[ti],
+                timeout=timeout,
+                verbose=verbose)
+
+    def get_measurements(self):
+        '''
+        Get measurements from zmq servers
+        '''
+        measurements = [None for _ in range(self.nturbs)]
+        for ti in range(self.nturbs):
+            measurements[ti] = self.zmq_servers[ti].get_measurements()
+        return measurements
+
+    def send_setpoints(self, genTorques=None, nacelleHeadings=None,
+                       bladePitchAngles=None):
+        '''
+        Send setpoints to DLL via zmq server for farm level controls
+
+        Parameters:
+        -----------
+        genTorques: List
+            List of generator torques of length self.nturbs
+        nacelleHeadings: List
+            List of nacelle headings of length self.nturbs
+        bladePitchAngles: List
+            List of blade pitch angles of length self.nturbs
+        '''
+        # Default choices if unspecified
+        if genTorques is None:
+            genTorques = [0.0] * self.nturbs
+        if nacelleHeadings is None:
+            nacelleHeadings = [0.0] * self.nturbs
+        if bladePitchAngles is None:
+            bladePitchAngles = [[0.0, 0.0, 0.0]] * self.nturbs
+
+        # Send setpoints
+        for ti in range(self.nturbs):
+            self.zmq_servers[ti].send_setpoints(
+                genTorque=genTorques[ti],
+                nacelleHeading=nacelleHeadings[ti],
+                bladePitch=bladePitchAngles[ti]
+            )
+
+
+class turbine_zmq_server():
+    def __init__(self, network_address="tcp://*:5555", identifier="0",
+                 timeout=600.0, verbose=False):
+        """Python implementation of the ZeroMQ server side for the ROSCO
+        ZeroMQ wind farm control interface. This class makes it easy for
+        users to receive measurements from ROSCO and then send back control
+        setpoints (generator torque, nacelle heading and/or blade pitch
+        angles).
+        Args:
+            network_address (str, optional): The network address to
+            communicate over with the desired instance of ROSCO. Note that,
+            if running a wind farm simulation in SOWFA or FAST.Farm, there
+            are multiple instances of ROSCO and each of these instances
+            needs to communicate over a unique port. Also, for each of those
+            instances, you will need an instance of zmq_server. This variable
+            Defaults to "tcp://*:5555".
+            identifier (str, optional): Turbine identifier. Defaults to "0".
+            timeout (float, optional): Seconds to wait for a message from
+            the ZeroMQ server before timing out. Defaults to 600.0.
+            verbose (bool, optional): Print to console. Defaults to False.
+        """
+        self.network_address = network_address
+        self.identifier = identifier
+        self.timeout = timeout
+        self.verbose = verbose
+        self._connect()
+
+    def _connect(self):
+        '''
+        Connect to zmq server
+        '''
+        address = self.network_address
+
+        # Connect socket
+        context = zmq.Context()
+        self.socket = context.socket(zmq.REP)
+        self.socket.setsockopt(zmq.LINGER, 0)
+        self.socket.bind(address)
+
+        if self.verbose:
+            print("[%s] Successfully established connection with %s" % (self.identifier, address))
+
+    def _disconnect(self):
+        '''
+        Disconnect from zmq server
+        '''
+        self.socket.close()
+        context = zmq.Context()
+        context.term()
+
+    def get_measurements(self):
+        '''
+        Receive measurements from ROSCO .dll
+        '''
+        if self.verbose:
+            print("[%s] Waiting to receive measurements from ROSCO..." % (self.identifier))
+
+        # Initialize a poller for timeouts
+        poller = zmq.Poller()
+        poller.register(self.socket, zmq.POLLIN)
+        timeout_ms = int(self.timeout * 1000)
+        if poller.poll(timeout_ms):
+            # Receive measurements over network protocol
+            message_in = self.socket.recv_string()
+        else:
+            raise IOError("[%s] Connection to '%s' timed out."
+                          % (self.identifier, self.network_address))
+
+        # Convert to individual strings and then to floats
+        measurements = message_in
+        measurements = measurements.replace('\x00', '').split(',')
+        measurements = [float(m) for m in measurements]
+
+        # Convert to a measurement dict
+        measurements = dict({
+            'iStatus': measurements[0],
+            'Time': measurements[1],
+            'VS_MechGenPwr':  measurements[2],
+            'VS_GenPwr': measurements[3],
+            'GenSpeed': measurements[4],
+            'RotSpeed': measurements[5],
+            'GenTqMeas': measurements[6],
+            'NacelleHeading': measurements[7],
+            'NacelleVane': measurements[8],
+            'HorWindV': measurements[9],
+            'rootMOOP1': measurements[10],
+            'rootMOOP2': measurements[11],
+            'rootMOOP3': measurements[12],
+            'FA_Acc': measurements[13],
+            'NacIMU_FA_Acc': measurements[14],
+            'Azimuth': measurements[15],
+        })
+
+        if self.verbose:
+            print('[%s] Measurements received:' % self.identifier, measurements)
+
+        return measurements
+
+    def send_setpoints(self, genTorque=0.0, nacelleHeading=0.0,
+                       bladePitch=[0.0, 0.0, 0.0]):
+        '''
+        Send setpoints to ROSCO .dll ffor individual turbine control
+
+        Parameters:
+        -----------
+        genTorques: float
+            Generator torque setpoint
+        nacelleHeadings: float
+            Nacelle heading setpoint
+        bladePitchAngles: List (len=3)
+            Blade pitch angle setpoint
+        '''
+        # Create a message with setpoints to send to ROSCO
+        message_out = b"%016.5f, %016.5f, %016.5f, %016.5f, %016.5f" % (
+            genTorque, nacelleHeading, bladePitch[0], bladePitch[1],
+            bladePitch[2])
+
+        #  Send reply back to client
+        if self.verbose:
+            print("[%s] Sending setpoint string to ROSCO: %s." % (self.identifier, message_out))
+
+        # Send control setpoints over network protocol
+        self.socket.send(message_out)
+
+        if self.verbose:
+            print("[%s] Setpoints sent successfully." % self.identifier)
diff --git a/ROSCO/ROSCO_toolbox/controller.py b/ROSCO/ROSCO_toolbox/controller.py
index b4e70bb1f..b4e3c353a 100644
--- a/ROSCO/ROSCO_toolbox/controller.py
+++ b/ROSCO/ROSCO_toolbox/controller.py
@@ -10,10 +10,11 @@
 # specific language governing permissions and limitations under the License.
 
 import numpy as np
-import sys, os
+import os
 import datetime
-from scipy import interpolate, gradient, integrate
+from scipy import interpolate, integrate
 from ROSCO_toolbox.utilities import list_check
+from scipy import optimize
 
 # Some useful constants
 now = datetime.datetime.now()
@@ -60,7 +61,11 @@ def __init__(self, controller_params):
         self.PS_Mode            = controller_params['PS_Mode']
         self.SD_Mode            = controller_params['SD_Mode']
         self.Fl_Mode            = controller_params['Fl_Mode']
+        self.TD_Mode            = controller_params['TD_Mode']
         self.Flp_Mode           = controller_params['Flp_Mode']
+        self.PA_Mode           = controller_params['PA_Mode']
+        self.Ext_Mode           = controller_params['Ext_Mode']
+        self.ZMQ_Mode           = controller_params['ZMQ_Mode']
 
         # Necessary parameters
         self.U_pc = list_check(controller_params['U_pc'], return_bool=False)
@@ -126,6 +131,7 @@ def __init__(self, controller_params):
         self.f_we_cornerfreq        = controller_params['filter_params']['f_we_cornerfreq']
         self.f_fl_highpassfreq      = controller_params['filter_params']['f_fl_highpassfreq']
         self.f_ss_cornerfreq        = controller_params['filter_params']['f_ss_cornerfreq']
+        self.f_yawerr               = controller_params['filter_params']['f_yawerr']
         self.f_sd_cornerfreq        = controller_params['filter_params']['f_sd_cornerfreq']
 
         # Open loop parameters: set up and error catching
@@ -135,8 +141,6 @@ def __init__(self, controller_params):
         
         if self.OL_Mode:
             ol_params               = controller_params['open_loop']
-            
-                
             self.OL_Ind_Breakpoint  = ol_params['OL_Ind_Breakpoint']
             self.OL_Ind_BldPitch    = ol_params['OL_Ind_BldPitch']
             self.OL_Ind_GenTq       = ol_params['OL_Ind_GenTq']
@@ -147,6 +151,11 @@ def __init__(self, controller_params):
                 raise Exception(f'Open-loop control set up, but the open loop file {self.OL_Filename} does not exist')
             
 
+        # Pitch actuator parameters
+        self.PA_Mode = controller_params['PA_Mode']
+        self.PA_CornerFreq = controller_params['PA_CornerFreq']
+        self.PA_Damping = controller_params['PA_Damping']
+
         # Save controller_params for later (direct passthrough)
         self.controller_params = controller_params
 
@@ -180,6 +189,8 @@ def tune_controller(self, turbine):
         Ng = turbine.Ng                         # Gearbox ratio (-)
         rated_rotor_speed = turbine.rated_rotor_speed               # Rated rotor speed (rad/s)
 
+        # ------------- Saturation Limits --------------- #
+        turbine.max_torque = turbine.rated_torque * self.controller_params['max_torque_factor']
 
         # -------------Define Operation Points ------------- #
         TSR_rated = rated_rotor_speed*R/turbine.v_rated  # TSR at rated
@@ -192,15 +203,14 @@ def tune_controller(self, turbine):
 
         # separate TSRs by operations regions
         TSR_below_rated = [min(turbine.TSR_operational, rated_rotor_speed*R/v) for v in v_below_rated] # below rated     
-        TSR_above_rated = rated_rotor_speed*R/v_above_rated                   # above rated
-        # TSR_below_rated = np.minimum(np.max(TSR_above_rated), TSR_below_rated)
-        TSR_op = np.concatenate((TSR_below_rated, TSR_above_rated))   # operational TSRs
+        TSR_above_rated = rated_rotor_speed*R/v_above_rated                     # above rated
+        TSR_op = np.concatenate((TSR_below_rated, TSR_above_rated))             # operational TSRs
 
         # Find expected operational Cp values
-        Cp_above_rated = turbine.Cp.interp_surface(0,TSR_above_rated[0])             # Cp during rated operation (not optimal). Assumes cut-in bld pitch to be 0
+        Cp_above_rated = turbine.Cp.interp_surface(0,TSR_above_rated[0])     # Cp during rated operation (not optimal). Assumes cut-in bld pitch to be 0
         Cp_op_br = np.ones(len(v_below_rated)) * turbine.Cp.max              # below rated
         Cp_op_ar = Cp_above_rated * (TSR_above_rated/TSR_rated)**3           # above rated
-        Cp_op = np.concatenate((Cp_op_br, Cp_op_ar))                # operational CPs to linearize around
+        Cp_op = np.concatenate((Cp_op_br, Cp_op_ar))                         # operational CPs to linearize around
         pitch_initial_rad = turbine.pitch_initial_rad
         TSR_initial = turbine.TSR_initial
 
@@ -213,22 +223,25 @@ def tune_controller(self, turbine):
         Ct_op       = np.empty(len(TSR_op))
 
         # ------------- Find Linearized State "Matrices" ------------- #
+        # At each operating point
         for i in range(len(TSR_op)):
-            # Find pitch angle as a function of expected operating CP for each TSR
+            # Find pitch angle as a function of expected operating CP for each TSR operating point
             Cp_TSR = np.ndarray.flatten(turbine.Cp.interp_surface(turbine.pitch_initial_rad, TSR_op[i]))     # all Cp values for a given tsr
             Cp_maxidx = Cp_TSR.argmax()    
-            Cp_op[i] = np.clip(Cp_op[i], np.min(Cp_TSR[Cp_maxidx:]), np.max(Cp_TSR[Cp_maxidx:])) # saturate Cp values to be on Cp surface                                                             # Find maximum Cp value for this TSR
-            f_cp_pitch = interpolate.interp1d(Cp_TSR[Cp_maxidx:],pitch_initial_rad[Cp_maxidx:])         # interpolate function for Cp(tsr) values
-            # expected operation blade pitch values
+            Cp_op[i] = np.clip(Cp_op[i], np.min(Cp_TSR[Cp_maxidx:]), np.max(Cp_TSR[Cp_maxidx:]))            # saturate Cp values to be on Cp surface                                                             # Find maximum Cp value for this TSR
+            f_cp_pitch = interpolate.interp1d(Cp_TSR[Cp_maxidx:],pitch_initial_rad[Cp_maxidx:])             # interpolate function for Cp(tsr) values
+            
+            # expected operational blade pitch values. Saturates by min_pitch if it exists
             if v[i] <= turbine.v_rated and isinstance(self.min_pitch, float): # Below rated & defined min_pitch
                 pitch_op[i] = min(self.min_pitch, f_cp_pitch(Cp_op[i]))
-            elif isinstance(self.min_pitch, float):
+            elif isinstance(self.min_pitch, float):                           # above rated & defined min_pitch
                 pitch_op[i] = max(self.min_pitch, f_cp_pitch(Cp_op[i]))             
-            else:
+            else:                                                             # no defined minimum pitch schedule
                 pitch_op[i] = f_cp_pitch(Cp_op[i])     
 
-            dCp_beta[i], dCp_TSR[i] = turbine.Cp.interp_gradient(pitch_op[i],TSR_op[i])       # gradients of Cp surface in Beta and TSR directions
-            dCt_beta[i], dCt_TSR[i] = turbine.Ct.interp_gradient(pitch_op[i],TSR_op[i])       # gradients of Cp surface in Beta and TSR directions
+            # Calculate Cp Surface gradients
+            dCp_beta[i], dCp_TSR[i] = turbine.Cp.interp_gradient(pitch_op[i],TSR_op[i]) 
+            dCt_beta[i], dCt_TSR[i] = turbine.Ct.interp_gradient(pitch_op[i],TSR_op[i]) 
         
             # Thrust
             Ct_TSR      = np.ndarray.flatten(turbine.Ct.interp_surface(turbine.pitch_initial_rad, TSR_op[i]))     # all Cp values for a given tsr
@@ -247,12 +260,11 @@ def tune_controller(self, turbine):
         dCt_dbeta   = dCt_beta/np.diff(pitch_initial_rad)[0]
         dCt_dTSR    = dCt_TSR/np.diff(TSR_initial)[0]
         
-        # Linearized system derivatives
-        dtau_dbeta      = Ng/2*rho*Ar*R*(1/TSR_op)*dCp_dbeta*v**2
-        dtau_dlambda    = Ng/2*rho*Ar*R*v**2*(1/(TSR_op**2))*(dCp_dTSR*TSR_op - Cp_op)
+        # Linearized system derivatives, equations from https://wes.copernicus.org/articles/7/53/2022/wes-7-53-2022.pdf
+        dtau_dbeta      = Ng/2*rho*Ar*R*(1/TSR_op)*dCp_dbeta*v**2  # (26)
+        dtau_dlambda    = Ng/2*rho*Ar*R*v**2*(1/(TSR_op**2))*(dCp_dTSR*TSR_op - Cp_op)   # (7)
         dlambda_domega  = R/v/Ng
         dtau_domega     = dtau_dlambda*dlambda_domega
-
         dlambda_dv      = -(TSR_op/v)
 
         Pi_beta         = 1/2 * rho * Ar * v**2 * dCt_dbeta
@@ -322,6 +334,7 @@ def tune_controller(self, turbine):
 
         # Store some variables
         self.v              = v                                  # Wind speed (m/s)
+        self.v_above_rated  = v_above_rated
         self.v_below_rated  = v_below_rated
         self.pitch_op       = pitch_op
         self.pitch_op_pc    = pitch_op[-len(v_above_rated)+1:]
@@ -405,23 +418,19 @@ def tune_flap_controller(self,turbine):
         # Find blade aerodynamic coefficients
         v_rel = []
         phi_vec = []
-        alpha=[]
         for i, _ in enumerate(self.v):
             turbine.cc_rotor.induction_inflow=True
             # Axial and tangential inductions
             try: 
-                a, ap, alpha0, cl, cd = turbine.cc_rotor.distributedAeroLoads(
+                a, ap, _, _, _ = turbine.cc_rotor.distributedAeroLoads(
                                                 self.v[i], self.omega_op[i], self.pitch_op[i], 0.0)
             except ValueError:
-                loads, derivs = turbine.cc_rotor.distributedAeroLoads(
+                loads, _ = turbine.cc_rotor.distributedAeroLoads(
                                                 self.v[i], self.omega_op[i], self.pitch_op[i], 0.0)
-                a = loads['a']
-                ap = loads['ap']
-                alpha0 = loads['alpha']
-                cl = loads['Cl']
-                cd = loads['Cd']
+                a = loads['a']      # Axial induction factor
+                ap = loads['ap']    # Tangential induction factor
                  
-            # Relative windspeed
+            # Relative windspeed along blade span
             v_rel.append([np.sqrt(self.v[i]**2*(1-a)**2 + self.omega_op[i]**2*turbine.span**2*(1-ap)**2)])
             # Inflow wind direction
             phi_vec.append(self.pitch_op[i] + turbine.twist*deg2rad)
@@ -436,9 +445,11 @@ def tune_flap_controller(self,turbine):
         Cdm = np.zeros(num_af)
         
         for i,section in enumerate(turbine.af_data):
-            # assume airfoil section as AOA of zero for slope calculations - for now
+            # assume airfoil section as AOA of zero for slope calculations
             a0_ind = section[0]['Alpha'].index(np.min(np.abs(section[0]['Alpha'])))
             # Coefficients 
+            #  - If the flap exists in this blade section, define Cx-plus,-minus,-neutral(0)
+            #  - IF teh flap does not exist in this blade section, Cx matrix is all the same value
             if section[0]['NumTabs'] == 3:  # sections with 3 flaps
                 Clm[i,] = section[0]['Cl'][a0_ind]
                 Cdm[i,] = section[0]['Cd'][a0_ind]
@@ -452,12 +463,12 @@ def tune_flap_controller(self,turbine):
                 Cd0[i,] = Cdp[i,] = Cdm[i,] = section[0]['Cd'][a0_ind]
                 Ctrl = float(section[0]['Ctrl'])
 
-        # Find slopes
+        # Find lift and drag coefficient slopes w.r.t. flap angle
         Kcl = (Clp - Cl0)/( (Ctrl_flp-Ctrl)*deg2rad )
         Kcd = (Cdp - Cd0)/( (Ctrl_flp-Ctrl)*deg2rad )
 
         # Find integrated constants
-        self.kappa = np.zeros(len(v_rel))
+        self.kappa = np.zeros(len(v_rel))  # "flap efficacy term"
         C1 = np.zeros(len(v_rel))
         C2 = np.zeros(len(v_rel))
         for i, (v_sec,phi) in enumerate(zip(v_rel, phi_vec)):
@@ -468,7 +479,6 @@ def tune_flap_controller(self,turbine):
         # PI Gains
         if (self.flp_kp_norm == 0 or self.flp_tau == 0) or (not self.flp_kp_norm or not self.flp_tau):
             raise ValueError('flp_kp_norm and flp_tau must be nonzero for Flp_Mode >= 1')
-
         self.Kp_flap = self.flp_kp_norm / self.kappa
         self.Ki_flap = self.flp_kp_norm / self.kappa / self.flp_tau
 
@@ -497,22 +507,20 @@ def peak_shaving(self,controller, turbine):
         '''
 
         # Re-define Turbine Parameters for shorthand
-        J = turbine.J                           # Total rotor inertial (kg-m^2) 
-        rho = turbine.rho                       # Air density (kg/m^3)
-        R = turbine.rotor_radius                    # Rotor radius (m)
-        A = np.pi*R**2                         # Rotor area (m^2)
-        Ng = turbine.Ng                         # Gearbox ratio (-)
-        rated_rotor_speed = turbine.rated_rotor_speed               # Rated rotor speed (rad/s)
+        rho = turbine.rho             # Air density (kg/m^3)
+        R = turbine.rotor_radius      # Rotor radius (m)
+        A = np.pi*R**2                # Rotor area (m^2)
 
         # Initialize some arrays
         Ct_op = np.empty(len(controller.TSR_op),dtype='float64')
         Ct_max = np.empty(len(controller.TSR_op),dtype='float64')
-        beta_min = np.empty(len(controller.TSR_op),dtype='float64')
-        # Find unshaved rotor thurst coefficients and associated rotor thrusts
-        # for i in len(controller.TSR_op):
+
+        # Find unshaved rotor thrust coefficients at each TSR
         for i in range(len(controller.TSR_op)):
             Ct_op[i] = turbine.Ct.interp_surface(controller.pitch_op[i],controller.TSR_op[i])
-            T = 0.5 * rho * A * controller.v**2 * Ct_op
+
+        # Thrust vs. wind speed    
+        T = 0.5 * rho * A * controller.v**2 * Ct_op
 
         # Define minimum max thrust and initialize pitch_min
         Tmax = controller.ps_percent * np.max(T)
@@ -521,18 +529,21 @@ def peak_shaving(self,controller, turbine):
         # Modify pitch_min if max thrust exceeds limits
         for i in range(len(controller.TSR_op)):
             # Find Ct values for operational TSR
-            # Ct_tsr = turbine.Ct.interp_surface(turbine.pitch_initial_rad, controller.TSR_op[i])
             Ct_tsr = turbine.Ct.interp_surface(turbine.pitch_initial_rad,controller.TSR_op[i])
             # Define max Ct values
             Ct_max[i] = Tmax/(0.5 * rho * A * controller.v[i]**2)
             if T[i] > Tmax:
                 Ct_op[i] = Ct_max[i]
             else:
+                # TSR_below_rated = np.minimum(np.max(TSR_above_rated), TSR_below_rated)
                 Ct_max[i] = np.minimum( np.max(Ct_tsr), Ct_max[i])
+
             # Define minimum pitch angle
+            # - find min(\beta) so that Ct <= Ct_max and \beta > \beta_fine at each operational TSR
             f_pitch_min = interpolate.interp1d(Ct_tsr, turbine.pitch_initial_rad, kind='linear', bounds_error=False, fill_value=(turbine.pitch_initial_rad[0],turbine.pitch_initial_rad[-1]))
             pitch_min[i] = max(controller.min_pitch, f_pitch_min(Ct_max[i]))
 
+        # Save to controller object
         controller.ps_min_bld_pitch = pitch_min
 
         # save some outputs for analysis or future work
@@ -544,9 +555,20 @@ def peak_shaving(self,controller, turbine):
         self.T = T
 
     def min_pitch_saturation(self, controller, turbine):
-        
+        '''
+        Minimum pitch saturation in low wind speeds to maximize power capture
+
+        Parameters:
+        -----------
+        controller: class
+                    Controller class containing controller operational information
+        turbine: class
+                 Turbine class containing necessary wind turbine information for controller tuning
+        '''
         # Find TSR associated with minimum rotor speed
         TSR_at_minspeed = (controller.pc_minspd) * turbine.rotor_radius / controller.v_below_rated
+        
+        # For each below rated wind speed operating point
         for i in range(len(TSR_at_minspeed)):
             if TSR_at_minspeed[i] > controller.TSR_op[i]:
                 controller.TSR_op[i] = TSR_at_minspeed[i]
@@ -554,18 +576,16 @@ def min_pitch_saturation(self, controller, turbine):
                 # Initialize some arrays
                 Cp_op = np.empty(len(turbine.pitch_initial_rad),dtype='float64')
                 min_pitch = np.empty(len(TSR_at_minspeed),dtype='float64')
-                
         
-                # Find Cp-maximizing minimum pitch schedule
-                # Find Cp coefficients at below-rated tip speed ratios
+                # ------- Find Cp-maximizing minimum pitch schedule ---------
+                # Cp coefficients at below-rated tip speed ratios
                 Cp_op = turbine.Cp.interp_surface(turbine.pitch_initial_rad,TSR_at_minspeed[i])
-                Cp_max = max(Cp_op)
-                # f_pitch_min = interpolate.interp1d(Cp_op, -turbine.pitch_initial_rad, kind='quadratic', bounds_error=False, fill_value=(turbine.pitch_initial_rad[0],turbine.pitch_initial_rad[-1]))
+
+                # Setup and run small optimization problem to find blade pitch angle that maximizes Cp at a given TSR
+                # - Finds \beta to satisfy max( Cp(\beta,TSR_op) )
                 f_pitch_min = interpolate.interp1d(turbine.pitch_initial_rad, -Cp_op, kind='quadratic', bounds_error=False, fill_value=(turbine.pitch_initial_rad[0],turbine.pitch_initial_rad[-1]))
-                from scipy import optimize
                 res = optimize.minimize(f_pitch_min, 0.0)
                 min_pitch[i] = res.x[0]
-                # min_pitch[i] = f_pitch_min(Cp_max)
                 
                 # modify existing minimum pitch schedule
                 controller.ps_min_bld_pitch[i] = np.maximum(controller.ps_min_bld_pitch[i], min_pitch[i])
@@ -804,19 +824,28 @@ def write_input(self,ol_filename):
         return open_loop
 
 
-# helper functions
-
+# ----------- Helper Functions -----------
 def sigma(tt,t0,t1,y0=0,y1=1):
     ''' 
     generates timeseries for a smooth transition from y0 to y1 from x0 to x1
 
-    inputs: tt - time indices
-            t0 - start time
-            t1 - end time
-            y0 - start output
-            y1 - end output
-
-    outputs: yy - output timeseries corresponding to tt
+    Parameters:
+    -----------
+    tt: List-like
+        time indices
+    t0: float
+        start time
+    t1: float
+        end time
+    y0: float
+        start output
+    y1: 
+        end output
+
+    Returns:
+    --------
+    yy: List-like
+        output timeseries corresponding to tt
     '''
 
     a3 = 2/(t0-t1)**3
@@ -841,14 +870,19 @@ def multi_sigma(xx,x_bp,y_bp):
 
     Parameters:
     -----------
-    xx : list of floats (-)
+    xx: list of floats (-)
             new sample points
-    x_bp : list of floats (-)
+    x_bp: list of floats (-)
             breakpoints
     y_bp : list of floats (-)
             function value at breakpoints
 
+    Returns:
+    --------
+    yy: List-like
+        output timeseries corresponding to tt
     '''
+    # initialize
     yy = np.zeros_like(xx)
 
     # interpolate sigma functions between all breakpoints
diff --git a/ROSCO/ROSCO_toolbox/inputs/toolbox_schema.yaml b/ROSCO/ROSCO_toolbox/inputs/toolbox_schema.yaml
index cd6316438..c3e0c80b6 100644
--- a/ROSCO/ROSCO_toolbox/inputs/toolbox_schema.yaml
+++ b/ROSCO/ROSCO_toolbox/inputs/toolbox_schema.yaml
@@ -161,6 +161,12 @@ properties:
                 maximum: 1
                 default: 0
                 description: Shutdown mode (0- no shutdown procedure, 1- pitch to max pitch at shutdown)
+            TD_Mode:            
+                type: number
+                minimum: 0
+                maximum: 1
+                default: 0
+                description: Tower damper mode (0- no tower damper, 1- feed back translational nacelle accelleration to pitch angle
             Fl_Mode:            
                 type: number
                 minimum: 0
@@ -179,6 +185,24 @@ properties:
                 maximum: 2
                 default: 0
                 description: Active Power Control Mode (0- no active power control 1- constant active power control, 2- open loop power vs time, 3- open loop power vs. wind speed)
+            ZMQ_Mode:           
+                type: number
+                minimum: 0
+                maximum: 1
+                default: 0
+                description: ZMQ Mode (0 - ZMQ Inteface, 1 - ZMQ for yaw control)
+            PA_Mode:           
+                type: number
+                minimum: 0
+                maximum: 2
+                default: 0
+                description: Pitch actuator mode {0 - not used, 1 - first order filter, 2 - second order filter}
+            Ext_Mode:           
+                type: number
+                minimum: 0
+                maximum: 1
+                default: 0
+                description: External control mode {{0 - not used, 1 - call external dynamic library}}
             U_pc:                       
                 type: array
                 description: List of wind speeds to schedule pitch control zeta and omega 
@@ -309,6 +333,11 @@ properties:
                 minimum: 0
                 description: Flap controller time constant for integral gain
                 unit: s
+            max_torque_factor:                     
+                type: number
+                minimum: 0
+                default: 1.1
+                description: Maximum torque = rated torque * max_torque_factor
             IPC_Kp1p:                     
                 type: number
                 minimum: 0
@@ -374,6 +403,12 @@ properties:
                         minimum: 0
                         unit: rad/s
                         default: 0.6283
+                    f_yawerr:
+                        type: number
+                        description: Low pass filter corner frequency for yaw controller [rad/
+                        minimum: 0
+                        unit: rad/s
+                        default: 0.17952
                     f_sd_cornerfreq:       
                         description: Cutoff Frequency for first order low-pass filter for blade pitch angle [rad/s], {default = 0.41888 ~ time constant of 15s}
                         type: number
@@ -407,8 +442,413 @@ properties:
                         description: Index (column, 1-indexed) of breakpoint (time) in open loop index
                         type: number
                         default: 0
+            PA_CornerFreq:
+                type: number
+                description: Pitch actuator natural frequency [rad/s]
+                unit: rad/s
+                default: 3.14
+                minimum: 0
+            PA_Damping:
+                type: number
+                description: Pitch actuator damping ratio [-]
+                default: 0.707
+                minimum: 0
 
-
+            DISCON:
+                type: object
+                description: These are pass-through parameters for the DISCON.IN file.  Use with caution.
+                default: {}
+                properties:
+                    LoggingLevel:
+                        type: number
+                        description: (0- write no debug files, 1- write standard output .dbg-file, 2- write standard output .dbg-file and complete avrSWAP-array .dbg2-file)
+                    F_LPFType:
+                        type: number
+                        description: 1- first-order low-pass filter, 2- second-order low-pass filter (currently filters generator speed and pitch control signals
+                    F_NotchType:
+                        type: number
+                        description: Notch on the measured generator speed and/or tower fore-aft motion (for floating) (0- disable, 1- generator speed, 2- tower-top fore-aft motion, 3- generator speed and tower-top fore-aft motion)
+                    IPC_ControlMode:
+                        type: number
+                        description: Turn Individual Pitch Control (IPC) for fatigue load reductions (pitch contribution) (0- off, 1- 1P reductions, 2- 1P+2P reductions)
+                    VS_ControlMode:
+                        type: number
+                        description: Generator torque control mode in above rated conditions (0- constant torque, 1- constant power, 2- TSR tracking PI control with constant torque, 3- TSR tracking PI control with constant power)
+                    PC_ControlMode:
+                        type: number
+                        description: Blade pitch control mode (0- No pitch, fix to fine pitch, 1- active PI blade pitch control)
+                    Y_ControlMode:
+                        type: number
+                        description: Yaw control mode (0- no yaw control, 1- yaw rate control, 2- yaw-by-IPC)
+                    SS_Mode:
+                        type: number
+                        description: Setpoint Smoother mode (0- no setpoint smoothing, 1- introduce setpoint smoothing)
+                    WE_Mode:
+                        type: number
+                        description: Wind speed estimator mode (0- One-second low pass filtered hub height wind speed, 1- Immersion and Invariance Estimator, 2- Extended Kalman Filter)
+                    PS_Mode:
+                        type: number
+                        description: Pitch saturation mode (0- no pitch saturation, 1- implement pitch saturation)
+                    SD_Mode:
+                        type: number
+                        description: Shutdown mode (0- no shutdown procedure, 1- pitch to max pitch at shutdown)
+                    Fl_Mode:
+                        type: number
+                        description: Floating specific feedback mode (0- no nacelle velocity feedback, 1- feed back translational velocity, 2- feed back rotational veloicty)
+                    Flp_Mode:
+                        type: number
+                        description: Flap control mode (0- no flap control, 1- steady state flap angle, 2- Proportional flap control)
+                    F_LPFCornerFreq:
+                        type: number
+                        description: Corner frequency (-3dB point) in the low-pass filters, 
+                        units: rad/s
+                    F_LPFDamping:
+                        type: number
+                        description: Damping coefficient (used only when F_FilterType = 2 [-]
+                    F_NotchCornerFreq:
+                        type: number
+                        description: Natural frequency of the notch filter, 
+                        units: rad/s
+                    F_NotchBetaNumDen:
+                        type: array
+                        items:
+                            type: number
+                        description: Two notch damping values (numerator and denominator, resp) - determines the width and depth of the notch, [-]
+                    F_SSCornerFreq:
+                        type: number
+                        description: Corner frequency (-3dB point) in the first order low pass filter for the setpoint smoother, 
+                        units: rad/s.
+                    F_WECornerFreq:
+                        type: number
+                        description: Corner frequency (-3dB point) in the first order low pass filter for the wind speed estimate 
+                        units: rad/s.
+                    F_FlCornerFreq:
+                        type: array
+                        items:
+                            type: number
+                        description: Natural frequency and damping in the second order low pass filter of the tower-top fore-aft motion for floating feedback control 
+                        units: rad/s
+                    F_FlHighPassFreq:
+                        type: number
+                        description: Natural frequency of first-order high-pass filter for nacelle fore-aft motion 
+                        units: rad/s
+                    F_FlpCornerFreq:
+                        type: array
+                        items:
+                            type: number
+                        description: Corner frequency and damping in the second order low pass filter of the blade root bending moment for flap control 
+                        units: rad/s
+                    PC_GS_n:
+                        type: number
+                        description: Amount of gain-scheduling table entries
+                    PC_GS_angles:
+                        type: array
+                        items:
+                            type: number
+                        description: Gain-schedule table- pitch angles 
+                        units: rad
+                    PC_GS_KP:
+                        type: array
+                        items:
+                            type: number
+                        description: Gain-schedule table- pitch controller kp gains 
+                        units: s
+                    PC_GS_KI:
+                        type: array
+                        items:
+                            type: number
+                        description: Gain-schedule table- pitch controller ki gains 
+                    PC_GS_KD:
+                        type: array
+                        items:
+                            type: number
+                        description: Gain-schedule table- pitch controller kd gains
+                    PC_GS_TF:
+                        type: array
+                        items:
+                            type: number
+                        description: Gain-schedule table- pitch controller tf gains (derivative filter)
+                    PC_MaxPit:
+                        type: number
+                        description: Maximum physical pitch limit, 
+                        units: rad
+                    PC_MinPit:
+                        type: number
+                        description: Minimum physical pitch limit, 
+                        units: rad
+                    PC_MaxRat:
+                        type: number
+                        description: Maximum pitch rate (in absolute value) in pitch controller
+                        units: rad/s.
+                    PC_MinRat:
+                        type: number
+                        description: Minimum pitch rate (in absolute value) in pitch controller
+                        units: rad/s.
+                    PC_RefSpd:
+                        type: number
+                        description: Desired (reference) HSS speed for pitch controller
+                        units: rad/s.
+                    PC_FinePit:
+                        type: number
+                        description: Record 5- Below-rated pitch angle set-point
+                        units: rad
+                    PC_Switch:
+                        type: number
+                        description: Angle above lowest minimum pitch angle for switch
+                        units: rad
+                    IPC_IntSat:
+                        type: number
+                        description: Integrator saturation (maximum signal amplitude contribution to pitch from IPC)
+                        units: rad
+                    IPC_KP:
+                        type: array
+                        items:
+                            type: number
+                        description: Proportional gain for the individual pitch controller- first parameter for 1P reductions, second for 2P reductions, [-]
+                    IPC_KI:
+                        type: array
+                        items:
+                            type: number
+                        description: Integral gain for the individual pitch controller- first parameter for 1P reductions, second for 2P reductions, [-]
+                    IPC_aziOffset:
+                        type: array
+                        items:
+                            type: number
+                        description: Phase offset added to the azimuth angle for the individual pitch controller
+                        units: rad
+                    IPC_CornerFreqAct:
+                        type: number
+                        description: Corner frequency of the first-order actuators model, to induce a phase lag in the IPC signal (0- Disable)
+                        units: rad/s
+                    VS_GenEff:
+                        type: number
+                        description: Generator efficiency mechanical power -> electrical power, should match the efficiency defined in the generator properties
+                        units: percent
+                    VS_ArSatTq:
+                        type: number
+                        description: Above rated generator torque PI control saturation
+                        units: Nm
+                    VS_MaxRat:
+                        type: number
+                        description: Maximum torque rate (in absolute value) in torque controller
+                        units: Nm/s
+                    VS_MaxTq:
+                        type: number
+                        description: Maximum generator torque in Region 3 (HSS side)
+                        units: Nm
+                    VS_MinTq:
+                        type: number
+                        description: Minimum generator torque (HSS side)
+                        units: Nm
+                    VS_MinOMSpd:
+                        type: number
+                        description: Minimum generator speed 
+                        units: rad/s
+                    VS_Rgn2K:
+                        type: number
+                        description: Generator torque constant in Region 2 (HSS side)
+                        units: Nm/(rad/s)^2
+                    VS_RtPwr:
+                        type: number
+                        description: Wind turbine rated power 
+                        units: W
+                    VS_RtTq:
+                        type: number
+                        description: Rated torque
+                        units: Nm
+                    VS_RefSpd:
+                        type: number
+                        description: Rated generator speed 
+                        units: rad/s
+                    VS_n:
+                        type: number
+                        description: Number of generator PI torque controller gains
+                    VS_KP:
+                        type: number
+                        description: Proportional gain for generator PI torque controller. (Only used in the transitional 2.5 region if VS_ControlMode =/ 2)
+                    VS_KI:
+                        type: number
+                        description: Integral gain for generator PI torque controller  (Only used in the transitional 2.5 region if VS_ControlMode =/ 2)
+                        units: s
+                    VS_TSRopt:
+                        type: number
+                        description: Power-maximizing region 2 tip-speed-ratio 
+                        units: rad
+                    SS_VSGain:
+                        type: number
+                        description: Variable speed torque controller setpoint smoother gain
+                    SS_PCGain:
+                        type: number
+                        description: Collective pitch controller setpoint smoother gain
+                    WE_BladeRadius:
+                        type: number
+                        description: Blade length (distance from hub center to blade tip)
+                        units: m
+                    WE_CP_n:
+                        type: number
+                        description: Amount of parameters in the Cp array
+                    WE_CP:
+                        type: array
+                        items:
+                            type: number
+                        description: Parameters that define the parameterized CP(lambda) function
+                    WE_Gamma:
+                        type: number
+                        description: Adaption gain of the wind speed estimator algorithm 
+                        units: m/rad
+                    WE_GearboxRatio:
+                        type: number
+                        description: Gearbox ratio, >=1
+                    WE_Jtot:
+                        type: number
+                        description: Total drivetrain inertia, including blades, hub and casted generator inertia to LSS
+                        units: kg m^2
+                    WE_RhoAir:
+                        type: number
+                        description: Air density
+                        units: kg m^-3
+                    PerfFileName:
+                        type: string
+                        description: File containing rotor performance tables (Cp,Ct,Cq) (absolute path or relative to this file)
+                    PerfTableSize:
+                        type: number
+                        description: Size of rotor performance tables, first number refers to number of blade pitch angles, second number referse to number of tip-speed ratios
+                    WE_FOPoles_N:
+                        type: number
+                        description: Number of first-order system poles used in EKF
+                    WE_FOPoles_v:
+                        type: array
+                        items:
+                            type: number
+                        description: Wind speeds corresponding to first-order system poles 
+                        units: m/s
+                    WE_FOPoles:
+                        type: array
+                        items:
+                            type: number
+                        description: First order system poles
+                        units: 1/s
+                    Y_ErrThresh:
+                        type: number
+                        description: Yaw error threshold. Turbine begins to yaw when it passes this
+                        units: rad^2 s
+                    Y_IPC_IntSat:
+                        type: number
+                        description: Integrator saturation (maximum signal amplitude contribution to pitch from yaw-by-IPC)
+                        units: rad
+                    Y_IPC_n:
+                        type: number
+                        description: Number of controller gains (yaw-by-IPC)
+                    Y_IPC_KP:
+                        type: number
+                        description: Yaw-by-IPC proportional controller gain Kp
+                    Y_IPC_KI:
+                        type: number
+                        description: Yaw-by-IPC integral controller gain Ki
+                    Y_IPC_omegaLP:
+                        type: number
+                        description: Low-pass filter corner frequency for the Yaw-by-IPC controller to filtering the yaw alignment error
+                        units: rad/s.
+                    Y_IPC_zetaLP:
+                        type: number
+                        description: Low-pass filter damping factor for the Yaw-by-IPC controller to filtering the yaw alignment error.
+                    Y_MErrSet:
+                        type: number
+                        description: Yaw alignment error, set point 
+                        units: rad
+                    Y_omegaLPFast:
+                        type: number
+                        description: Corner frequency fast low pass filter, 1.0 
+                        units: rad/s
+                    Y_omegaLPSlow:
+                        type: number
+                        description: Corner frequency slow low pass filter, 1/60 
+                        units: rad/s
+                    Y_Rate:
+                        type: number
+                        description: Yaw rate 
+                        units: rad/s
+                    FA_KI:
+                        type: number
+                        description: Integral gain for the fore-aft tower damper controller, -1 = off / >0 = on 
+                        units: rad s/m
+                    FA_HPFCornerFreq:
+                        type: number
+                        description: Corner frequency (-3dB point) in the high-pass filter on the fore-aft acceleration signal
+                        units: rad/s
+                    FA_IntSat:
+                        type: number
+                        description: Integrator saturation (maximum signal amplitude contribution to pitch from FA damper)
+                        units: rad
+                    PS_BldPitchMin_N:
+                        type: number
+                        description: Number of values in minimum blade pitch lookup table (should equal number of values in PS_WindSpeeds and PS_BldPitchMin)
+                    PS_WindSpeeds:
+                        type: array
+                        items:
+                            type: number
+                        description: Wind speeds corresponding to minimum blade pitch angles
+                        units: m/s
+                    PS_BldPitchMin:
+                        type: array
+                        items:
+                            type: number
+                        description: Minimum blade pitch angles
+                        units: rad
+                    SD_MaxPit:
+                        type: number
+                        description: Maximum blade pitch angle to initiate shutdown
+                        units: rad
+                    SD_CornerFreq:
+                        type: number
+                        description: Cutoff Frequency for first order low-pass filter for blade pitch angle
+                        units: rad/s
+                    Fl_Kp:
+                        type: number
+                        description: Nacelle velocity proportional feedback gain 
+                        units: s
+                    Flp_Angle:
+                        type: number
+                        description: Initial or steady state flap angle 
+                        units: rad
+                    Flp_Kp:
+                        type: number
+                        description: Blade root bending moment proportional gain for flap control
+                        units: s
+                    Flp_Ki:
+                        type: number
+                        description: Flap displacement integral gain for flap control
+                    Flp_MaxPit:
+                        type: number
+                        description: Maximum (and minimum) flap pitch angle
+                        units: rad
+                    OL_Filename:
+                        type: string
+                        description: Input file with open loop timeseries (absolute path or relative to this file)
+                    Ind_Breakpoint:
+                        type: number
+                        description: The column in OL_Filename that contains the breakpoint (time if OL_Mode = 1)
+                    Ind_BldPitch:
+                        type: number
+                        description: The column in OL_Filename that contains the blade pitch input in rad
+                    Ind_GenTq:
+                        type: number
+                        description: The column in OL_Filename that contains the generator torque in Nm
+                    Ind_YawRate:
+                        type: number
+                        description: The column in OL_Filename that contains the generator torque in Nm
+                    DLL_FileName:
+                        type: string
+                        description: Name/location of the dynamic library {.dll [Windows] or .so [Linux]} in the Bladed-DLL format
+                        default: unused
+                    DLL_InFile:
+                        type: string
+                        description: Name of input file sent to the DLL
+                        default: unused
+                    DLL_ProcName:
+                        type: string
+                        description: Name of procedure in DLL to be called
+                        default: DISCON
 
     linmodel_tuning:
         type: object
diff --git a/ROSCO/ROSCO_toolbox/linear/lin_util.py b/ROSCO/ROSCO_toolbox/linear/lin_util.py
index 29203da0b..969ea3fa1 100644
--- a/ROSCO/ROSCO_toolbox/linear/lin_util.py
+++ b/ROSCO/ROSCO_toolbox/linear/lin_util.py
@@ -66,7 +66,7 @@ def pc_closedloop(linturb, controller, u):
     Cs = interp_pitch_controller(controller, u)
 
     # Combine controller and plant
-    sys_cl = feedback(1, Cs*P)
+    sys_cl = feedback(Cs*P, 1)
 
     return sys_cl
 
@@ -102,21 +102,33 @@ def pc_sensitivity(linturb, controller, u):
     return sens
 
 def smargin(linturb, controller, u_eval):
-    # try:
-    #     k_float = inputs[1]
-    # except:
+    '''
+    Calculates the stability margin for an open-loop system
+
+    linturb: object
+        LinearTurbineModel object
+    controller: object
+        ROSCO toolbox controller object
+    u_eval: float
+        wind speed to evaluate system at
+    '''
+
+    # Find standard transfer functions
     sens_sys = pc_sensitivity(linturb, controller, u_eval)
     ol_sys = pc_openloop(linturb, controller, u_eval)
-
+    # Convert to state space
     sp_plant = sp.signal.StateSpace(ol_sys.A, ol_sys.B, ol_sys.C, ol_sys.D)
     sp_sens = sp.signal.StateSpace(sens_sys.A, sens_sys.B, sens_sys.C, sens_sys.D)
 
+    # Minimum distance to the critical point on the nyquist diagram
     def nyquist_min(om): return np.abs(sp.signal.freqresp(sp_plant, w=om)[1] + 1.)
+    # Maximum value of sensitivity function
     def sens_min(om): return -sp.signal.bode(sp_sens, w=om)[1]
 
     with warnings.catch_warnings():
-        warnings.simplefilter("ignore")
-        # Find first local maxima in sensitivity function
+        warnings.simplefilter("ignore") # NJA: Lots of scipy errors because of poorly posed state matrices - ignore them
+        
+        # Find first local maximum in bode magnitude of the sensitivity function
         ws, m, _ = sp.signal.bode(sp_sens, n=100000)
         m0 = m[0]
         m1 = m[1]
@@ -128,27 +140,44 @@ def sens_min(om): return -sp.signal.bode(sp_sens, w=om)[1]
             i += 1
             w0 = ws[i]
 
+        # --- Find important magnitudes and related frequencies with just the sampled values ---
+        #    # NJA - optimization is run in the next "step" to fine tune these values further
+        # magnitude of sensitivity function at first local maximum
         sm_mag = sp.signal.freqresp(sp_plant, w=w0)[1]
         sm = np.sqrt((1 - np.abs(sm_mag.real))**2 + sm_mag.imag**2)
+        # magnitude and frequency of distance to critical point on nyquist
         nearest_nyquist = nyquist_min(ws).min()
         nearest_nyquist_freq = ws[nyquist_min(ws).argmin()]
         mag_at_min = sp.signal.freqresp(sp_plant, w=nearest_nyquist_freq)[1]
+
+        # If any poles of the sensitivity function are unstable, solve an optimization problem on the Nyquist trajectory
+        # to minimize the distance to the critical point over all frequencies. Start the gradient-based optimization at
+        # the nearest value calculated in the sweep above
+        #: NJA - optimization is done to reduce precision errors 
         if any(sp_sens.poles > 0):
             if nearest_nyquist < sm:
                 res = sp.optimize.minimize(nyquist_min, nearest_nyquist_freq, method='SLSQP', options={
                     'finite_diff_rel_step': 1e-8})
-                sm2 = min(abs(res.fun), abs(nearest_nyquist))
-
+                # Make sure this didn't fail
+                if res.status != 0:
+                    # if optimization failed, just use the closest value from the initial sweep
+                    sm2 = nearest_nyquist
+                else:
+                    sm2 = min(abs(res.fun), abs(nearest_nyquist))
+
+                # Dubious error catching because of strange nyquist shapes in unstable systems
                 sm_list = [sm, sm2]
                 mag_list = [np.abs(sm_mag), np.abs(mag_at_min)]
                 sm = sm_list[np.argmax(mag_list)]
-            sm *= -1  # Flip sign because it's unstable
-        else:
+            sm *= -1  # Flip sign to have a "negative sensitivity margin" because it's unstable
+        else: # system is stable
             res = sp.optimize.minimize(nyquist_min, nearest_nyquist_freq, method='SLSQP',
                                        options={'finite_diff_rel_step': 1e-6})
-            sm = min(res.fun, nearest_nyquist)
-
-
+            if res.status != 0:
+                 # if optimization failed, just use the closest value from the initial sweep
+                sm = nearest_nyquist
+            else:
+                sm = min(res.fun, nearest_nyquist)
 
     return sm
 
@@ -172,10 +201,16 @@ def interp_plant(linturb, v, return_scipy=True):
     '''
 
     # Find interpolated plant on v
-    Ap = interp_matrix(linturb.u_h, linturb.A_ops, v)
-    Bp = interp_matrix(linturb.u_h, linturb.B_ops, v)
-    Cp = interp_matrix(linturb.u_h, linturb.C_ops, v)
-    Dp = interp_matrix(linturb.u_h, linturb.D_ops, v)
+    if np.shape(linturb.A_ops)[2] > 1:
+        Ap = interp_matrix(linturb.u_h, linturb.A_ops, v)
+        Bp = interp_matrix(linturb.u_h, linturb.B_ops, v)
+        Cp = interp_matrix(linturb.u_h, linturb.C_ops, v)
+        Dp = interp_matrix(linturb.u_h, linturb.D_ops, v)
+    else: 
+        Ap = np.squeeze(linturb.A_ops, axis=2)
+        Bp = np.squeeze(linturb.B_ops, axis=2)
+        Cp = np.squeeze(linturb.C_ops, axis=2)
+        Dp = np.squeeze(linturb.D_ops, axis=2)
 
     if return_scipy:
         P = sp.signal.StateSpace(Ap, Bp, Cp, Dp)
@@ -234,6 +269,7 @@ def add_pcomp(linturb, k_float):
         Modified linturb with parallel compensation term included
     '''
 
+    # Find relevant state and input indices
     state_str = 'derivative of 1st tower fore-aft'
     state_idx = np.flatnonzero(np.core.defchararray.find(
         linturb.DescStates, state_str) > -1).tolist()
@@ -241,8 +277,10 @@ def add_pcomp(linturb, k_float):
     input_idx = np.flatnonzero(np.core.defchararray.find(
         linturb.DescCntrlInpt, input_str) > -1).tolist()
 
+    # Modify linear system to be \dot{x} = (A+B_fK)x + Bu, 
+    #   - B_fKx accounts for parallel compensation in the linear system
     K = np.zeros((linturb.B_ops.shape[1], linturb.A_ops.shape[1], linturb.A_ops.shape[2]))
-    K[input_idx, state_idx, :] = -k_float # NJA: negative to account of OF linearization sign conventions
+    K[input_idx, state_idx, :] = -k_float # NJA: negative to account for OpenFAST linearization sign conventions
 
     linturb2 = copy.copy(linturb)
     linturb2.A_ops = linturb.A_ops + linturb.B_ops * K
diff --git a/ROSCO/ROSCO_toolbox/linear/lin_vis.py b/ROSCO/ROSCO_toolbox/linear/lin_vis.py
new file mode 100644
index 000000000..35d507149
--- /dev/null
+++ b/ROSCO/ROSCO_toolbox/linear/lin_vis.py
@@ -0,0 +1,87 @@
+'''
+Visualization helpers for linear models
+'''
+from ROSCO_toolbox.linear.lin_util import add_pcomp, pc_openloop
+import numpy as np
+import matplotlib.pyplot as plt
+import scipy as sp
+
+
+class lin_plotting():
+    def __init__(self, controller, turbine, linturb):
+        '''
+        Parameters
+        ----------
+        controller: object
+            ROSCO controller object
+        turbine: object
+            ROSCO turbine object
+        linturb: object
+            ROSCO linturb object
+        '''
+        self.turbine    = turbine
+        self.controller = controller
+        self.linturb    = linturb
+        
+    def plot_nyquist(self, u, omega, k_float=0.0, xlim=None, ylim=None, fig=None, ax=None, num='Nyquist', **kwargs):
+        '''
+        Plot nyquist diagram
+        
+        Parameters:
+        -----------
+        u: float
+            windspeed for linear model
+        omega: float
+            controller bandwidth
+        k_float: float, optional
+            parallel compensation feedback gain
+        '''
+        if fig and ax:
+            self.fig = fig
+            self.ax = ax
+        else:
+            self.fig, self.ax = plt.subplots(1,1,num=num)
+        w, H = self.get_nyquistdata(u, omega, k_float=k_float)
+        self.line, = self.ax.plot(H.real, H.imag,  **kwargs)
+        plt.scatter(-1,0,marker='x',color='r')
+
+        self.ax.set_xlim(xlim)
+        self.ax.set_ylim(ylim)
+        plt.xlabel('Real Axis')
+        plt.ylabel('Imaginary Axis')
+        plt.title('Nyquist Diagram\n$u = {}, \omega = {}, k_f = {}$'.format(u,omega,k_float))
+        plt.grid(True)
+
+
+    def get_nyquistdata(self, u, omega, k_float=0.0):
+        '''
+        Gen nyquist diagram data to plot
+        
+        Parameters:
+        -----------
+        u: float
+            windspeed for linear model
+        omega: float
+            controller bandwidth
+        k_float: float, optional
+            parallel compensation feedback gain
+        '''
+        self.controller.omega_pc = omega
+        self.controller.U_pc = u
+        self.controller.tune_controller(self.turbine)
+        if k_float:
+            linturb = add_pcomp(self.linturb, k_float)
+        else:
+            linturb = self.linturb
+        sys_ol = pc_openloop(linturb, self.controller, u)
+        sys_sp = sp.signal.StateSpace(sys_ol.A, sys_ol.B, sys_ol.C, sys_ol.D)
+        w, H = sp.signal.freqresp(sys_sp)
+
+        return w, H
+    
+def sm_circle(r):
+    theta = np.linspace(0,2*np.pi,100)
+    x = r * np.cos(theta) - 1
+    y = r * np.sin(theta)
+    
+    return x,y
diff --git a/ROSCO/ROSCO_toolbox/linear/linear_models.py b/ROSCO/ROSCO_toolbox/linear/linear_models.py
index 9b46548a1..5a4d6969d 100644
--- a/ROSCO/ROSCO_toolbox/linear/linear_models.py
+++ b/ROSCO/ROSCO_toolbox/linear/linear_models.py
@@ -23,7 +23,7 @@
 
 class LinearTurbineModel(object):
 
-    def __init__(self, lin_file_dir, lin_file_names, nlin=12, reduceStates=False, fromMat=False, lin_file=None, rm_hydro=False, load_parallel=False):
+    def __init__(self, lin_file_dir, lin_file_names, nlin=12, reduceStates=False, fromMat=False, fromPkl=False, mat_file=None, rm_hydro=False, load_parallel=False):
         '''
             inputs:    
                 lin_file_dir (string) - directory of linear file outputs from OpenFAST
@@ -35,7 +35,7 @@ def __init__(self, lin_file_dir, lin_file_names, nlin=12, reduceStates=False, fr
                 rm_hydro (bool) - remove hydrodynamic states
                 load_parallel (bool) - run mbc3 usying multiprocessing
         '''
-        if not fromMat:
+        if not fromMat and not fromPkl:
 
             # Number of linearization cases or OpenFAST sims, different from nlin/NLinTimes in OpenFAST
             n_lin_cases = len(lin_file_names)
@@ -187,9 +187,56 @@ def __init__(self, lin_file_dir, lin_file_names, nlin=12, reduceStates=False, fr
             # Trim the system
             self.trim_system(rm_azimuth=True, rm_hydro=rm_hydro)
 
+        elif fromPkl:
+            import pickle
+            if isinstance(lin_file_names, list):
+                print('list')
+                if len(lin_file_names) != 1:
+                    raise TypeError(
+                        'lin_file_names must be a string or list of length 1 to import matrices from a pickle.')
+                else:
+                    linfile = lin_file_names[0]
+            elif isinstance(lin_file_names, str):
+                linfile = lin_file_names
+            else: 
+                raise TypeError(
+                    'lin_file_names must be a string or list of length 1 to import matrices from a pickle.')
+
+            fname = os.path.join(lin_file_dir, linfile)
+            lin_mats = pickle.load(open(fname, 'rb'))[0]
+            print('Loading ABCD from ',fname)
+            self.A_ops = lin_mats['A']
+            self.B_ops = lin_mats['B']
+            self.C_ops = lin_mats['C']
+            self.D_ops = lin_mats['D']
+            self.x_ops = lin_mats['x_ops']
+            self.u_ops = lin_mats['u_ops']
+            self.y_ops = lin_mats['y_ops']
+            self.u_h = lin_mats['u_h']
+            self.omega_rpm = lin_mats['omega_rpm']
+            self.DescCntrlInpt = lin_mats['DescCntrlInpt']
+            self.DescStates = lin_mats['DescStates']
+            self.DescOutput = lin_mats['DescOutput']
+            self.StateDerivOrder = lin_mats['StateDerivOrder']
+            self.ind_fast_inps = lin_mats['ind_fast_inps']
+            self.ind_fast_outs = lin_mats['ind_fast_outs']
+
+            # Convert output RPM to rad/s
+            rpm_idx = np.flatnonzero(np.core.defchararray.find(self.DescOutput, 'rpm') > -1).tolist()
+            self.C_ops[rpm_idx, :, :] = rpm2radps(self.C_ops[rpm_idx, :, :])
+            self.DescOutput = [desc.replace('rpm', 'rad/s') for desc in self.DescOutput]
+            # Convert output deg to rad
+            deg_idx = np.flatnonzero(np.core.defchararray.find(self.DescOutput, 'deg') > -1).tolist()
+            self.C_ops[deg_idx, :, :] = deg2rad(self.C_ops[deg_idx, :, :])
+            self.DescOutput = [desc.replace('deg', 'rad') for desc in self.DescOutput]
+
+            # Other important things
+            self.n_lin_cases = lin_mats['A'].shape[2]
+            # Trim the system
+            self.trim_system(rm_azimuth=True, rm_hydro=rm_hydro)
 
         else:  # from matlab .mat file m
-            matDict = loadmat(lin_file)
+            matDict = loadmat(mat_file)
 
             # operating points
             # u_ops \in real(n_inps,n_ops)
diff --git a/ROSCO/ROSCO_toolbox/linear/robust_scheduling.py b/ROSCO/ROSCO_toolbox/linear/robust_scheduling.py
index dae86c5b6..70bc418e5 100644
--- a/ROSCO/ROSCO_toolbox/linear/robust_scheduling.py
+++ b/ROSCO/ROSCO_toolbox/linear/robust_scheduling.py
@@ -1,5 +1,6 @@
 '''
 Methods for finding robust gain schedules
+- Implemented in the OpenMDAO framework
 '''
 
 import numpy as np
@@ -16,6 +17,7 @@
 from ROSCO_toolbox.inputs.validation import load_rosco_yaml
 from ROSCO_toolbox.utilities import list_check
 
+
 class RobustScheduling(om.ExplicitComponent):
     'Finding Robust gain schedules for pitch controllers in FOWTs'
 
@@ -37,7 +39,7 @@ def setup(self):
                 'Error: omega_pc and zeta_pc must be scalars for robust controller tuning.')
 
         # Load ROSCO Turbine and Controller
-        if 'dict_inputs' in ROSCO_options.keys():  # Allow for turbine parameters to be passed in as a dictionary
+        if 'dict_inputs' in ROSCO_options.keys():  # Allow for turbine parameters to be passed in as a dictionary (from WEIS)
             dict_inputs = ROSCO_options['dict_inputs']
             # Define turbine based on inputs
             self.turbine = type('', (), {})()
@@ -78,7 +80,7 @@ def setup(self):
 
             self.controller = ROSCO_controller.Controller(ROSCO_options['controller_params'])
             self.controller.tune_controller(self.turbine)
-        else:
+        else: # otherwise define controller and turbine objection 
             self.controller, self.turbine = load_ROSCO(ROSCO_options['path_params'],
                                                        ROSCO_options['turbine_params'],
                                                        ROSCO_options['controller_params'])
@@ -100,6 +102,9 @@ def setup(self):
                         desc='Maximized controller bandwidth')
 
     def compute(self, inputs, outputs):
+        '''
+        Computes the stability margin for a given controller bandwidth (omega)
+        '''
         k_float = inputs['k_float'][0]
         if k_float:
             linturb = add_pcomp(self.linturb, k_float)
@@ -110,6 +115,7 @@ def compute(self, inputs, outputs):
         self.controller.tune_controller(self.turbine)
         sm = smargin(linturb, self.controller, inputs['u_eval'][0])
 
+        print('omega = {}, sm = {}'.format(inputs['omega'][0], sm))
         omega = inputs['omega']
 
         # Outputs
@@ -119,10 +125,14 @@ def compute(self, inputs, outputs):
 
 class rsched_driver():
     '''
-    A driver for scheduling robust controllers
+    A driver for scheduling robust controllers. 
+    Wrapper for the RobustScheduling OpenMDAO Explicit Component
+
+    - Example 12 shows how to use this
     '''
 
     def __init__(self, options):
+        # initialize options
         self.linturb_options = options['linturb_options']
         self.ROSCO_options = options['ROSCO_options']
         self.path_options = options['path_options']
@@ -134,6 +144,7 @@ def __init__(self, options):
         self.output_dir = self.path_options['output_dir']
         self.output_name = self.path_options['output_name']
 
+        # setup levels, especially useful for DOEs
         if 'levels' in self.opt_options.keys():
             self.opt_options['levels'] = self.opt_options['levels']
         else:
@@ -151,12 +162,21 @@ def setup(self):
         Setup the OpenMDAO problem
         '''
         # Initialize problem
-        self.om_problem = om.Problem()
+        from openmdao.utils.mpi import MPI, FakeComm
+        if MPI:
+            self.om_problem = om.Problem(comm=FakeComm())
+            self.om_problem._run_root_only = True
+            self.om_problem.comm.allgather = MPI.COMM_WORLD.allgather
+            self.om_problem.comm.Bcast = MPI.COMM_WORLD.Bcast
+        else:
+            self.om_problem = om.Problem()
 
-        # Add subsystem
+        # Add robust scheduling subsystem
         self.om_problem.model.add_subsystem('r_sched', RobustScheduling(linturb_options=self.linturb_options,
                                                                         ROSCO_options=self.ROSCO_options))
 
+        # Setup design of experiments or optimization problem. 
+        # - NJA: DOEs can only be done for one wind speed at a time
         if self.opt_options['driver'] == 'design_of_experiments':
             self.om_problem = self.init_doe(self.om_problem, levels=self.opt_options['levels'])
             if list_check(self.opt_options['windspeed']):
@@ -166,7 +186,7 @@ def setup(self):
                     ValueError(
                         'Can only run design of experiments for a single opt_options["windspeed"]')
         elif self.opt_options['driver'] == 'optimization':
-            self.om_problem = self.init_doe(self.om_problem, levels=self.opt_options['levels'])
+            self.om_problem = self.init_optimization(self.om_problem)
         else:
             ValueError(
                 "self.opt_options['driver'] must be either 'design_of_experiments' or 'optimization'.")
@@ -180,7 +200,6 @@ def setup(self):
 
         # Setup OM Problem
         self.om_problem.setup()
-
         # Set constant values
         if not list_check(self.opt_options['omega']):
             self.om_problem.set_val('r_sched.omega', self.opt_options['omega'])
@@ -192,12 +211,8 @@ def setup(self):
             self.om_doe = self.om_problem
             self.om_doe = self.add_dv(self.om_doe, ['omega', 'k_float'])
         if self.opt_options['driver'] == 'optimization':
-            # self.om_doe = copy.deepcopy(self.om_problem)
-            # self.om_doe = self.add_dv(self.om_doe, ['omega'])
-
             self.om_opt = self.om_problem
             self.om_opt = self.add_dv(self.om_opt, ['omega', 'k_float'])
-            self.om_opt = self.init_optimization(self.om_opt)
 
     def execute(self):
         '''
@@ -215,20 +230,31 @@ def execute(self):
             self.omegas = []
             self.k_floats = []
             self.sms = []
+
+            # Iterate optimization over each wind speed in opt_options
             for u in self.opt_options['windspeed']:
-                om0 = 0.1
-                # Setup optimization
-                self.om_opt.set_val('r_sched.u_eval', u)
-                self.om_opt.set_val('r_sched.omega', om0)
-
-                # Run optimization
-                print('Finding ROSCO tuning parameters for u = {}, sm = {}'.format(
-                    u, self.linturb_options['stability_margin']))
-                opt_logfile = os.path.join(
-                    self.output_dir, self.output_name + '.' + str(u) + ".opt.sql")
-                self.om_opt = self.setup_recorder(self.om_opt, opt_logfile)
-                self.om_opt.run_driver()
-                self.om_opt.cleanup()
+                om0 = 0.1 # Initial omega - hard coded
+                try_count = 0
+                while try_count < 3:    # Allow this to try three times before failing. NJA: sometimes small initial condition changes can improve convergence
+                    # Setup optimization
+                    self.om_opt.set_val('r_sched.u_eval', u)
+                    self.om_opt.set_val('r_sched.omega', om0)
+
+                    # Run optimization
+                    print('Finding ROSCO tuning parameters for u = {}, sm = {}, omega_pc = {}, k_float = {}'.format(
+                        u, self.opt_options['stability_margin'], self.opt_options['omega'], self.opt_options['k_float']))
+                    opt_logfile = os.path.join(
+                        self.output_dir, self.output_name + '.' + str(u) + ".opt.sql")
+                    self.om_opt = self.setup_recorder(self.om_opt, opt_logfile)
+                    self.om_opt.run_driver()
+                    self.om_opt.cleanup()
+
+                    if self.om_opt.driver.fail:
+                        # Restart with a new initial omega if the optimizer failed
+                        try_count += 1
+                        om0 = np.random.random_sample(1)*self.opt_options['omega'][-1]
+                    else:
+                        try_count += 1
 
                 # save values
                 self.omegas.append(self.om_opt.get_val('r_sched.omega')[0])
@@ -236,6 +262,9 @@ def execute(self):
                 self.sms.append(self.om_opt.get_val('r_sched.sm')[0])
 
     def plot_schedule(self):
+        '''
+        Plots tuning value and stability margins w.r.t. wind speed
+        '''
         fig, ax = plt.subplots(3, 1, constrained_layout=True, sharex=True)
         ax[0].plot(self.opt_options['windspeed'], self.omegas)
         ax[0].set_ylabel('omega_pc')
@@ -250,7 +279,17 @@ def plot_schedule(self):
         plt.show()
 
     def add_dv(self, om_problem, opt_vars):
-        '''add design variables'''
+        '''
+        Add design variables to OM problem
+
+        Parameters:
+        -----------
+        om_problem: om.problem
+            RobustScheduling OpenMDAO problem 
+        opt_vars: list
+            Variables to optimize, e.g.:['omega', 'k_float']
+        
+        '''
 
         if 'omega' in opt_vars and list_check(self.opt_options['omega']):
             om_problem.model.add_design_var(
@@ -261,6 +300,7 @@ def add_dv(self, om_problem, opt_vars):
                 'r_sched.k_float', lower=self.opt_options['k_float'][0], upper=self.opt_options['k_float'][1], ref=100)
 
         # Make sure design variables are stored appropriately in OM problem
+        #   - NJA: This is mostly needed for WEIS integration as a nested OpenMDAO problem
         om_problem.model._design_vars = om_problem.model._static_design_vars
 
         return om_problem
@@ -279,10 +319,9 @@ def init_optimization(self, om_problem):
     def init_doe(self, om_problem, levels=20):
         '''Initialize DOE driver'''
         om_problem.driver = om.DOEDriver(om.FullFactorialGenerator(levels=levels))
+        # om_problem.driver = om.DOEDriver(om.LatinHypercubeGenerator(samples=levels))
         # om_problem.driver = om.DOEDriver(om.UniformGenerator(num_samples=20))
         os.makedirs(self.output_dir, exist_ok=True)
-        # om_problem.driver.options['run_parallel'] = True
-        # om_problem.driver.options['procs_per_model'] = 1
         return om_problem
 
     @staticmethod
@@ -318,6 +357,23 @@ def post_doe(self, save_csv=False):
 
 
 def load_DOE(doe_logs, outfile_name=None):
+    '''
+    Loads and processes doe log files
+    - OpenMDAO DOEs generate a large set of log files, this function collects them
+    
+    Parameters:
+    -----------
+    doe_logs: str,list
+        string (single) or list (multiple) of doe log file names
+    outfile_name: str, optional
+        name of output .csv file to save data
+
+    Returns:
+    --------
+    df: pd.DataFrame
+        Pandas dataframe containing collected DOE data
+
+    '''
     if isinstance(doe_logs, str):
         doe_logs = [doe_logs]
 
@@ -360,6 +416,7 @@ def load_DOE(doe_logs, outfile_name=None):
 
 
 def load_OMsql(log):
+    '''load OpenMDAO sql file'''
     print('loading {}'.format(log))
     cr = om.CaseReader(log)
     rec_data = {}
@@ -375,6 +432,16 @@ def load_OMsql(log):
 
 
 def load_linturb(linfile_path, load_parallel=False):
+    '''
+    Load linear turbine models
+    
+    Parameters:
+    -----------
+    linfile_path: string
+        Path to folder containing .lin files
+    load_parllel: bool
+        Load parallel True/False
+    '''
     # Parse openfast linearization filenames
     filenames = glob.glob(os.path.join(linfile_path, '*.lin'))
     linfiles = [os.path.split(file)[1] for file in filenames]
@@ -386,7 +453,20 @@ def load_linturb(linfile_path, load_parallel=False):
 
     return linturb
 
+
 def load_ROSCO(path_params, turbine_params, controller_params):
+    '''
+    Load ROSCO controller and turbine objects
+    
+    Parameters:
+    -----------
+    path_params: dict
+        Path parameters from tuning yaml
+    turbine_params: dict
+        Turbine parameters from tuning yaml
+    controller_params: dict
+        Controller parameters from tuning yaml
+    '''
     turbine = ROSCO_turbine.Turbine(turbine_params)
     controller = ROSCO_controller.Controller(controller_params)
 
@@ -398,7 +478,6 @@ def load_ROSCO(path_params, turbine_params, controller_params):
 
 
 if __name__ == '__main__':
-
     # Setup linear turbine paths
     linfile_path = os.path.join(os.path.dirname(os.path.dirname(
         os.path.dirname(os.path.abspath(__file__)))), 'Test_Cases', 'IEA-15-240-RWT-UMaineSemi', 'linearizations')
diff --git a/ROSCO/ROSCO_toolbox/ofTools/case_gen/CaseLibrary.py b/ROSCO/ROSCO_toolbox/ofTools/case_gen/CaseLibrary.py
index 04746f822..72fe07635 100644
--- a/ROSCO/ROSCO_toolbox/ofTools/case_gen/CaseLibrary.py
+++ b/ROSCO/ROSCO_toolbox/ofTools/case_gen/CaseLibrary.py
@@ -3,7 +3,7 @@
 
 from ROSCO_toolbox.ofTools.case_gen.CaseGen_General import CaseGen_General
 from ROSCO_toolbox.ofTools.case_gen.CaseGen_IEC import CaseGen_IEC
-from ROSCO_toolbox.ofTools.case_gen.HH_WindFile import HH_StepFile
+from ROSCO_toolbox.ofTools.case_gen.HH_WindFile import HH_StepFile, HH_WindFile
 
 # ROSCO 
 from ROSCO_toolbox import controller as ROSCO_controller
@@ -34,7 +34,7 @@ def set_channels():
                                "NcIMUTAxs", "NcIMUTAys", "NcIMUTAzs", "NcIMURAxs", "NcIMURAys", "NcIMURAzs", \
                                 "NacYaw", "Wind1VelX", "Wind1VelY", "Wind1VelZ", "LSSTipMxa","LSSTipMya",\
                                    "LSSTipMza","LSSTipMxs","LSSTipMys","LSSTipMzs","LSShftFys","LSShftFzs", \
-                                       "TipRDxr", "TipRDyr", "TipRDzr","RtVAvgxh"]:
+                                       "TipRDxr", "TipRDyr", "TipRDzr","RtVAvgxh","RtAeroFxh"]:
         channels[var] = True
     return channels
 
@@ -66,22 +66,14 @@ def load_tuning_yaml(tuning_yaml):
 #
 ##############################################################################################
 
-def power_curve(run_dir):
-    # Constant wind speed, multiple wind speeds, define below
-
-    # Runtime
-    T_max   = 400.
-
-    # Run conditions
-    U = np.arange(4,14.5,.5).tolist()
-    U = np.linspace(9.5,12,num=16)
-
+def base_op_case():
 
     case_inputs = {}
-    # simulation settings
-    case_inputs[("Fst","TMax")] = {'vals':[T_max], 'group':0}
 
+    case_inputs[("Fst","OutFileFmt")]        = {'vals':[3], 'group':0}
+    
     # DOFs
+    case_inputs[("ElastoDyn","GenDOF")]      = {'vals':['True'], 'group':0} 
     if False:
         case_inputs[("ElastoDyn","YawDOF")]      = {'vals':['True'], 'group':0}
         case_inputs[("ElastoDyn","FlapDOF1")]    = {'vals':['False'], 'group':0}
@@ -100,9 +92,6 @@ def power_curve(run_dir):
         case_inputs[("ElastoDyn","PtfmRDOF")]     = {'vals':['False'], 'group':0}
         case_inputs[("ElastoDyn","PtfmYDOF")]     = {'vals':['False'], 'group':0}
     
-    # wind inflow
-    case_inputs[("InflowWind","WindType")] = {'vals':[1], 'group':0}
-    case_inputs[("InflowWind","HWindSpeed")] = {'vals':U, 'group':1}
 
     # Stop Generator from Turning Off
     case_inputs[('ServoDyn', 'GenTiStr')] = {'vals': ['True'], 'group': 0}
@@ -110,7 +99,11 @@ def power_curve(run_dir):
     case_inputs[('ServoDyn', 'SpdGenOn')] = {'vals': [0.], 'group': 0}
     case_inputs[('ServoDyn', 'TimGenOn')] = {'vals': [0.], 'group': 0}
     case_inputs[('ServoDyn', 'GenModel')] = {'vals': [1], 'group': 0}
-    
+
+    case_inputs[('ServoDyn', 'VSContrl')] = {'vals': [5], 'group': 0}
+    case_inputs[('ServoDyn', 'PCMode')] = {'vals': [5], 'group': 0}
+    case_inputs[('ServoDyn', 'HSSBrMode')] = {'vals': [5], 'group': 0}
+    case_inputs[('ServoDyn', 'YCMode')] = {'vals': [5], 'group': 0}    
 
     # AeroDyn
     case_inputs[("AeroDyn15", "WakeMod")] = {'vals': [1], 'group': 0}
@@ -130,41 +123,63 @@ def power_curve(run_dir):
 
     return case_inputs
 
-    # # Controller
-    # if rosco_dll:
-    #     # Need to update this to ROSCO with power control!!!
-    #     case_inputs[("ServoDyn","DLL_FileName")] = {'vals':[rosco_dll], 'group':0}
+def power_curve(**wind_case_opts):
+    # Constant wind speed, multiple wind speeds, define below
 
-    # # Control (DISCON) Inputs
-    # discon_vt = ROSCO_utilities.read_DISCON(discon_file)
-    # for discon_input in discon_vt:
-    #     case_inputs[('DISCON_in',discon_input)] = {'vals': [discon_vt[discon_input]], 'group': 0}
+    # Runtime
+    T_max   = 400.
 
-    # from weis.aeroelasticse.CaseGen_General import CaseGen_General
-    # case_list, case_name_list = CaseGen_General(case_inputs, dir_matrix=runDir, namebase=namebase)
+    if 'U' in wind_case_opts:
+        U = wind_case_opts['U']
+    else: # default
+        # Run conditions
+        U = np.arange(4,14.5,.5).tolist()
+        U = np.linspace(9.5,12,num=16)
+
+
+    case_inputs = base_op_case()
+    # simulation settings
+    case_inputs[("Fst","TMax")] = {'vals':[T_max], 'group':0}
 
-    # channels = set_channels()
+    # wind inflow
+    case_inputs[("InflowWind","WindType")] = {'vals':[1], 'group':0}
+    case_inputs[("InflowWind","HWindSpeed")] = {'vals':U, 'group':1}
 
-    return case_list, case_name_list, channels
+    return case_inputs
 
-def simp_step(run_dir):
+def simp_step(**wind_case_opts):
     # Set up cases for FIW-JIP project
     # 3.x in controller tuning register
 
-    # Default Runtime
-    T_max   = 300.
+    if 'T_Max' in wind_case_opts:
+        T_max = wind_case_opts['T_Max']
+    else: #default
+        T_max   = 300.
+
+    if 'U_start' in wind_case_opts:
+        U_start = wind_case_opts['U_start']
+    else: #default
+        U_start   = [16]
+
+    if 'U_end' in wind_case_opts:
+        U_end = wind_case_opts['U_end']
+    else: #default
+        U_end   = [17]
+
+    if 'T_step' in wind_case_opts:
+        T_step = wind_case_opts['T_step']
+    else: #default
+        T_step   = 150
 
     # Step Wind Setup
 
     # Make Default step wind object
     hh_step = HH_StepFile()
     hh_step.t_max = T_max
-    hh_step.t_step = 150
-    hh_step.wind_directory = run_dir
+    hh_step.t_step = T_step
+    hh_step.wind_directory = wind_case_opts['wind_dir']
 
     # Run conditions
-    U_start     = [16]
-    U_end       = [17]
     step_wind_files = []
 
     for u_s,u_e in zip(U_start,U_end):
@@ -176,126 +191,18 @@ def simp_step(run_dir):
 
         step_wind_files.append(hh_step.filename)
 
-    case_inputs = {}
+    case_inputs = base_op_case()
     # simulation settings
     case_inputs[("Fst","TMax")] = {'vals':[T_max], 'group':0}
-    case_inputs[("Fst","OutFileFmt")]        = {'vals':[2], 'group':0}
     # case_inputs[("Fst","DT")]        = {'vals':[1/80], 'group':0}
-
-    # DOFs
-    # case_inputs[("ElastoDyn","YawDOF")]      = {'vals':['True'], 'group':0}
-    # case_inputs[("ElastoDyn","FlapDOF1")]    = {'vals':['False'], 'group':0}
-    # case_inputs[("ElastoDyn","FlapDOF2")]    = {'vals':['False'], 'group':0}
-    # case_inputs[("ElastoDyn","EdgeDOF")]     = {'vals':['False'], 'group':0}
-    # case_inputs[("ElastoDyn","DrTrDOF")]     = {'vals':['False'], 'group':0}
-    # case_inputs[("ElastoDyn","GenDOF")]      = {'vals':['True'], 'group':0} 
-    # case_inputs[("ElastoDyn","TwFADOF1")]    = {'vals':['False'], 'group':0}
-    # case_inputs[("ElastoDyn","TwFADOF2")]    = {'vals':['False'], 'group':0}
-    # case_inputs[("ElastoDyn","TwSSDOF1")]    = {'vals':['False'], 'group':0}
-    # case_inputs[("ElastoDyn","TwSSDOF2")]    = {'vals':['False'], 'group':0}
-    # case_inputs[("ElastoDyn","PtfmSgDOF")]     = {'vals':['False'], 'group':0}
-    # case_inputs[("ElastoDyn","PtfmHvDOF")]     = {'vals':['False'], 'group':0}
-    # case_inputs[("ElastoDyn","PtfmPDOF")]     = {'vals':['False'], 'group':0}
-    # case_inputs[("ElastoDyn","PtfmSwDOF")]     = {'vals':['False'], 'group':0}
-    # case_inputs[("ElastoDyn","PtfmRDOF")]     = {'vals':['False'], 'group':0}
-    # case_inputs[("ElastoDyn","PtfmYDOF")]     = {'vals':['False'], 'group':0}
     
     # wind inflow
     case_inputs[("InflowWind","WindType")] = {'vals':[2], 'group':0}
     case_inputs[("InflowWind","Filename_Uni")] = {'vals':step_wind_files, 'group':1}
 
-
-    # Stop Generator from Turning Off
-    case_inputs[('ServoDyn', 'GenTiStr')] = {'vals': ['True'], 'group': 0}
-    case_inputs[('ServoDyn', 'GenTiStp')] = {'vals': ['True'], 'group': 0}
-    case_inputs[('ServoDyn', 'SpdGenOn')] = {'vals': [0.], 'group': 0}
-    case_inputs[('ServoDyn', 'TimGenOn')] = {'vals': [0.], 'group': 0}
-    case_inputs[('ServoDyn', 'GenModel')] = {'vals': [1], 'group': 0}
-    
-
-    # AeroDyn
-    case_inputs[("AeroDyn15", "WakeMod")] = {'vals': [1], 'group': 0}
-    case_inputs[("AeroDyn15", "AFAeroMod")] = {'vals': [2], 'group': 0}
-    case_inputs[("AeroDyn15", "TwrPotent")] = {'vals': [0], 'group': 0}
-    case_inputs[("AeroDyn15", "TwrShadow")] = {'vals': ['False'], 'group': 0}
-    case_inputs[("AeroDyn15", "TwrAero")] = {'vals': ['False'], 'group': 0}
-    case_inputs[("AeroDyn15", "SkewMod")] = {'vals': [1], 'group': 0}
-    case_inputs[("AeroDyn15", "TipLoss")] = {'vals': ['True'], 'group': 0}
-    case_inputs[("AeroDyn15", "HubLoss")] = {'vals': ['True'], 'group': 0}
-    case_inputs[("AeroDyn15", "TanInd")] = {'vals': ['True'], 'group': 0}
-    case_inputs[("AeroDyn15", "AIDrag")] = {'vals': ['True'], 'group': 0}
-    case_inputs[("AeroDyn15", "TIDrag")] = {'vals': ['True'], 'group': 0}
-    case_inputs[("AeroDyn15", "IndToler")] = {'vals': [1.e-5], 'group': 0}
-    case_inputs[("AeroDyn15", "MaxIter")] = {'vals': [5000], 'group': 0}
-    case_inputs[("AeroDyn15", "UseBlCm")] = {'vals': ['True'], 'group': 0}
-
-
-
-    # # Tune Floating Feedback Gain
-    # if tune == 'fl_gain':
-    #     case_inputs[('DISCON_in','Fl_Kp')] = {'vals': np.linspace(0,-18,6,endpoint=True).tolist(), 'group': 2}
-
-    # elif tune == 'fl_phase':
-    #     case_inputs[('DISCON_in','Fl_Kp')] = {'vals': 8*[-25], 'group': 2}
-    #     case_inputs[('DISCON_in','F_FlCornerFreq')] = {'vals': 8*[0.300], 'group': 2}
-    #     case_inputs[('DISCON_in','F_FlHighPassFreq')] = {'vals':[0.001,0.005,0.010,0.020,0.030,0.042,0.060,0.100], 'group': 2}
-    #     case_inputs[('meta','Fl_Phase')] = {'vals':8*[-50],'group':2}
-
-    # elif tune == 'pc_mode':
-    #     # define omega, zeta
-    #     omega = np.linspace(.05,.25,8,endpoint=True).tolist()
-    #     zeta  = np.linspace(1,3,3,endpoint=True).tolist()
-        
-    #     control_case_inputs = sweep_pc_mode(omega,zeta)
-    #     case_inputs.update(control_case_inputs)
-
-
-    # elif tune == 'ps_perc':
-    #     # Set sweep limits here
-    #     ps_perc = np.linspace(.75,1,num=8,endpoint=True).tolist()
-        
-    #     # load default params          
-    #     weis_dir            = os.path.dirname(os.path.dirname(os.path.dirname(__file__)))
-    #     control_param_yaml  = os.path.join(weis_dir,'examples/OpenFAST_models/CT15MW-spar/ServoData/IEA15MW-CT-spar.yaml')
-    #     inps                = yaml.safe_load(open(control_param_yaml))
-    #     path_params         = inps['path_params']
-    #     turbine_params      = inps['turbine_params']
-    #     controller_params   = inps['controller_params']
-
-    #     # make default controller, turbine objects for ROSCO_toolbox
-    #     turbine             = ROSCO_turbine.Turbine(turbine_params)
-    #     turbine.load_from_fast( path_params['FAST_InputFile'],path_params['FAST_directory'], dev_branch=True)
-
-    #     controller          = ROSCO_controller.Controller(controller_params)
-
-    #     # tune default controller
-    #     controller.tune_controller(turbine)
-
-    #     # Loop through and make min pitch tables
-    #     ps_ws = []
-    #     ps_mp = []
-    #     m_ps  = []  # flattened (omega,zeta) pairs
-    #     for p in ps_perc:
-    #         controller.ps_percent = p
-    #         controller.tune_controller(turbine)
-    #         m_ps.append(controller.ps_min_bld_pitch)
-
-    #     # add control gains to case_list
-    #     case_inputs[('meta','ps_perc')]          = {'vals': ps_perc, 'group': 2}
-    #     case_inputs[('DISCON_in', 'PS_BldPitchMin')] = {'vals': m_ps, 'group': 2}
-
-    # elif tune == 'max_tq':
-    #     case_inputs[('DISCON_in','VS_MaxTq')] = {'vals': [19624046.66639, 1.5*19624046.66639], 'group': 3}
-
-    # elif tune == 'yaw':
-    #     case_inputs[('ElastoDyn','NacYaw')]     = {'vals': [-10,0,10], 'group': 3}
-
-
-
     return case_inputs
 
-
-def steps(discon_file,runDir, namebase,rosco_dll=''):
+def single_steps(discon_file,runDir, namebase,rosco_dll=''):
     # Set up cases for FIW-JIP project
     # 3.x in controller tuning register
 
@@ -331,129 +238,132 @@ def steps(discon_file,runDir, namebase,rosco_dll=''):
 
         step_wind_files.append(hh_step.filename)
 
-    case_inputs = {}
-    # simulation settings
-    case_inputs[("Fst","TMax")] = {'vals':[T_max], 'group':0}
-    case_inputs[("Fst","OutFileFmt")]        = {'vals':[2], 'group':0}
+    case_inputs = base_op_case()
 
-    # DOFs
-    if True:
-        case_inputs[("ElastoDyn","YawDOF")]      = {'vals':['False'], 'group':0}
-        case_inputs[("ElastoDyn","FlapDOF1")]    = {'vals':['False'], 'group':0}
-        case_inputs[("ElastoDyn","FlapDOF2")]    = {'vals':['False'], 'group':0}
-        case_inputs[("ElastoDyn","EdgeDOF")]     = {'vals':['False'], 'group':0}
-        case_inputs[("ElastoDyn","DrTrDOF")]     = {'vals':['False'], 'group':0}
-        case_inputs[("ElastoDyn","GenDOF")]      = {'vals':['True'], 'group':0} 
-        case_inputs[("ElastoDyn","TwFADOF1")]    = {'vals':['False'], 'group':0}
-        case_inputs[("ElastoDyn","TwFADOF2")]    = {'vals':['False'], 'group':0}
-        case_inputs[("ElastoDyn","TwSSDOF1")]    = {'vals':['False'], 'group':0}
-        case_inputs[("ElastoDyn","TwSSDOF2")]    = {'vals':['False'], 'group':0}
-        case_inputs[("ElastoDyn","PtfmSgDOF")]     = {'vals':['False'], 'group':0}
-        case_inputs[("ElastoDyn","PtfmHvDOF")]     = {'vals':['False'], 'group':0}
-        case_inputs[("ElastoDyn","PtfmPDOF")]     = {'vals':['False'], 'group':0}
-        case_inputs[("ElastoDyn","PtfmSwDOF")]     = {'vals':['False'], 'group':0}
-        case_inputs[("ElastoDyn","PtfmRDOF")]     = {'vals':['False'], 'group':0}
-        case_inputs[("ElastoDyn","PtfmYDOF")]     = {'vals':['False'], 'group':0}
-    
     # wind inflow
     case_inputs[("InflowWind","WindType")] = {'vals':[2], 'group':0}
-    case_inputs[("InflowWind","Filename")] = {'vals':step_wind_files, 'group':1}
-
+    case_inputs[("InflowWind","Filename_Uni")] = {'vals':step_wind_files, 'group':1}
 
-    # Stop Generator from Turning Off
-    case_inputs[('ServoDyn', 'GenTiStr')] = {'vals': ['True'], 'group': 0}
-    case_inputs[('ServoDyn', 'GenTiStp')] = {'vals': ['True'], 'group': 0}
-    case_inputs[('ServoDyn', 'SpdGenOn')] = {'vals': [0.], 'group': 0}
-    case_inputs[('ServoDyn', 'TimGenOn')] = {'vals': [0.], 'group': 0}
-    case_inputs[('ServoDyn', 'GenModel')] = {'vals': [1], 'group': 0}
-    
+def steps(**wind_case_opts):
+    # Muliple steps in same simulation at time, wind breakpoints, this function adds zero-order hold, 100 seconds to end
 
-    # AeroDyn
-    case_inputs[("AeroDyn15", "WakeMod")] = {'vals': [1], 'group': 0}
-    case_inputs[("AeroDyn15", "AFAeroMod")] = {'vals': [2], 'group': 0}
-    case_inputs[("AeroDyn15", "TwrPotent")] = {'vals': [0], 'group': 0}
-    case_inputs[("AeroDyn15", "TwrShadow")] = {'vals': ['False'], 'group': 0}
-    case_inputs[("AeroDyn15", "TwrAero")] = {'vals': ['False'], 'group': 0}
-    case_inputs[("AeroDyn15", "SkewMod")] = {'vals': [1], 'group': 0}
-    case_inputs[("AeroDyn15", "TipLoss")] = {'vals': ['True'], 'group': 0}
-    case_inputs[("AeroDyn15", "HubLoss")] = {'vals': ['True'], 'group': 0}
-    case_inputs[("AeroDyn15", "TanInd")] = {'vals': ['True'], 'group': 0}
-    case_inputs[("AeroDyn15", "AIDrag")] = {'vals': ['True'], 'group': 0}
-    case_inputs[("AeroDyn15", "TIDrag")] = {'vals': ['True'], 'group': 0}
-    case_inputs[("AeroDyn15", "IndToler")] = {'vals': [1.e-5], 'group': 0}
-    case_inputs[("AeroDyn15", "MaxIter")] = {'vals': [5000], 'group': 0}
-    case_inputs[("AeroDyn15", "UseBlCm")] = {'vals': ['True'], 'group': 0}
+    if 'tt' in wind_case_opts and 'U' in wind_case_opts:
+        tt = wind_case_opts['tt']
+        U = wind_case_opts['U']
+    else:
+        raise Exception('You must define tt and U in **wind_case_opts dict to use steps() fcn')
 
-    # Controller
-    if rosco_dll:
-        # Need to update this to ROSCO with power control!!!
-        case_inputs[("ServoDyn","DLL_FileName")] = {'vals':[rosco_dll], 'group':0}
+    if 'dt' in wind_case_opts:
+        dt = wind_case_opts['dt']
+    else:
+        dt = 0.05
 
-    # Control (DISCON) Inputs
-    discon_vt = ROSCO_utilities.read_DISCON(discon_file)
-    for discon_input in discon_vt:
-        case_inputs[('DISCON_in',discon_input)] = {'vals': [discon_vt[discon_input]], 'group': 0}
+    if 'U_0' in wind_case_opts:
+        U_0 = wind_case_opts['U_0']
+    else:
+        U_0 = U[0]
 
-    from weis.aeroelasticse.CaseGen_General import CaseGen_General
-    case_list, case_name_list = CaseGen_General(case_inputs, dir_matrix=runDir, namebase=namebase)
+    if 'T_max' in wind_case_opts:
+        T_max = wind_case_opts['T_max']
+    else:
+        T_max = tt[-1] + 100
 
-    channels = set_channels()
+    if len(tt) != len(U):
+        raise Exception('steps: len(tt) and len(U) must be the same')
 
-    return case_list, case_name_list, channels
 
+    # Make Default step wind object
+    hh_wind = HH_WindFile()
+    hh_wind.t_max = T_max
+    hh_wind.filename = os.path.join(wind_case_opts['run_dir'],'steps.hh')
 
-def sweep_pc_mode(cont_yaml,omega=np.linspace(.05,.35,8,endpoint=True).tolist(),zeta=[1.5],group=2):
-    
+    # Step Wind Setup
+    hh_wind.time = [0]
+    hh_wind.wind_speed = [U_0]
+    for t, u in zip(tt,U):
+        hh_wind.time.append(t-dt)
+        hh_wind.wind_speed.append(hh_wind.wind_speed[-1])
+
+        hh_wind.time.append(t)
+        hh_wind.wind_speed.append(u)
+
+    hh_wind.wind_dir = [0] * len(hh_wind.time)
+    hh_wind.vert_speed = [0] * len(hh_wind.time)
+    hh_wind.horiz_shear = [0] * len(hh_wind.time)
+    hh_wind.vert_shear = [0] * len(hh_wind.time)
+    hh_wind.linv_shear = [0] * len(hh_wind.time)
+    hh_wind.gust_speed = [0] * len(hh_wind.time)
     
-    inps                = yaml.safe_load(open(cont_yaml))
-    path_params         = inps['path_params']
-    turbine_params      = inps['turbine_params']
-    controller_params   = inps['controller_params']
+    if False:
+        hh_wind.plot()
 
-    # make default controller, turbine objects for ROSCO_toolbox
-    turbine             = ROSCO_turbine.Turbine(turbine_params)
-    turbine.load_from_fast( path_params['FAST_InputFile'],path_params['FAST_directory'], dev_branch=True)
-
-    controller          = ROSCO_controller.Controller(controller_params)
-
-    # tune default controller
-    controller.tune_controller(turbine)
-
-    # check if inputs are lists
-    if not isinstance(omega,list):
-        omega = [omega]
-    if not isinstance(zeta,list):
-        zeta = [zeta]
-
-    # Loop through and make PI gains
-    pc_kp = []
-    pc_ki = []
-    m_omega = []  # flattened (omega,zeta) pairs
-    m_zeta = []  # flattened (omega,zeta) pairs
-    for o in omega:
-        for z in zeta:
-            controller.omega_pc = o
-            controller.zeta_pc  = z
-            controller.tune_controller(turbine)
-            pc_kp.append(controller.pc_gain_schedule.Kp.tolist())
-            pc_ki.append(controller.pc_gain_schedule.Ki.tolist())
-            m_omega.append(o)
-            m_zeta.append(z)
+    hh_wind.write()
+    case_inputs = base_op_case()
 
-    # add control gains to case_list
-    case_inputs = {}
-    case_inputs[('meta','omega')]          = {'vals': m_omega, 'group': group}
-    case_inputs[('meta','zeta')]          = {'vals': m_zeta, 'group': group}
-    case_inputs[('DISCON_in', 'PC_GS_KP')] = {'vals': pc_kp, 'group': group}
-    case_inputs[('DISCON_in', 'PC_GS_KI')] = {'vals': pc_ki, 'group': group}
+    case_inputs[("Fst","TMax")] = {'vals':[T_max], 'group':0}
+
+
+    # wind inflow
+    case_inputs[("InflowWind","WindType")] = {'vals':[2], 'group':0}
+    case_inputs[("InflowWind","Filename_Uni")] = {'vals':[hh_wind.filename], 'group':0}
+
+    return case_inputs
+
+def turb_bts(**wind_case_opts):
+    '''
+     Turbulent wind input from bts file
+     Expected inputs:
+        TMax            TODO: someday make all TMaxs TMax
+        wind_inputs (list of string wind inputs filenames)
+    '''
+
+    if 'TMax' in wind_case_opts:
+        TMax = wind_case_opts['TMax']
+    else:
+        TMax = 720
+
+    if 'wind_filenames' not in wind_case_opts:
+        raise Exception('Define wind_filenames when using turb_bts case generator')
+
+    # wind inflow
+    case_inputs = base_op_case()
+    case_inputs[("Fst","TMax")] = {'vals':[TMax], 'group':0}
+    case_inputs[("InflowWind","WindType")] = {'vals':[3], 'group':0}
+    case_inputs[("InflowWind","FileName_BTS")] = {'vals':wind_case_opts['wind_filenames'], 'group':1}
 
     return case_inputs
 
-# Control sweep functions
-# function(controller,turbine,start_group)
+def user_hh(**wind_case_opts):
+    '''
+     Uniform, hub-height wind file
+     Expected inputs:
+        TMax            TODO: someday make all TMaxs TMax
+        wind_inputs (list of string wind inputs filenames)
+    '''
 
+    if 'TMax' in wind_case_opts:
+        TMax = wind_case_opts['TMax']
+    else:
+        TMax = 720
 
-def sweep_rated_torque(tuning_yaml,start_group):
+    if 'wind_filenames' not in wind_case_opts:
+        raise Exception('Define wind_filenames when using turb_bts case generator')
+
+    # wind inflow
+    case_inputs = base_op_case()
+    case_inputs[("Fst","TMax")] = {'vals':[TMax], 'group':0}
+    case_inputs[("InflowWind","WindType")] = {'vals':[2], 'group':0}
+    case_inputs[("InflowWind","Filename_Uni")] = {'vals':wind_case_opts['wind_filenames'], 'group':1}
+
+    return case_inputs
+    
+##############################################################################################
+#
+#   Control sweep cases
+#
+##############################################################################################
+
+def sweep_rated_torque(start_group, **control_sweep_opts):
 
     # Sweep multiplier of original rated torque
     multipliers = np.linspace(1,1.5,5)
@@ -500,7 +410,166 @@ def sweep_rated_torque(tuning_yaml,start_group):
         case_inputs_control[('DISCON_in',discon_input)] = {'vals': discon_array[discon_input], 'group': start_group}
 
     return case_inputs_control
- 
+
+def sweep_pitch_act(start_group, **control_sweep_opts):
+    if 'act_bw' in control_sweep_opts:
+        act_bw = control_sweep_opts['act_bw']
+    else:
+        raise Exception('Define act_bw to sweep or program something else.')
+
+    case_inputs_control = {}
+    case_inputs_control[('DISCON_in','PA_CornerFreq')] = {'vals': act_bw.tolist(), 'group': start_group}
+
+    return case_inputs_control
+
+def sweep_ipc_gains(start_group, **control_sweep_opts):
+    case_inputs_control = {}
+
+    kis = np.linspace(0,3,6).tolist()
+    # kis = [0.,0.6,1.2,1.8,2.4,3.]
+    KIs = [[ki * 1e-8,0.] for ki in kis]
+    case_inputs_control[('DISCON_in','IPC_ControlMode')] = {'vals': [1], 'group': 0}
+    # case_inputs_control[('DISCON_in','IPC_KI')] = {'vals': [[0.,0.],[1e-8,0.]], 'group': start_group}
+    case_inputs_control[('DISCON_in','IPC_KI')] = {'vals': KIs, 'group': start_group}
+    case_inputs_control[('DISCON_in','IPC_aziOffset')] = {'vals': [[0.0,0]], 'group': 0}
+    case_inputs_control[('DISCON_in','IPC_IntSat')] = {'vals': [0.2618], 'group': 0}
+
+    # [-0.5236,-0.43633,-0.34907,-0.2618,-0.17453,-0.087266           0    0.087266     0.17453      0.2618     0.34907     0.43633      0.5236     0.61087     0.69813      0.7854'
+
+    return case_inputs_control
+
+def sweep_fad_gains(start_group, **control_sweep_opts):
+    case_inputs_control = {}
+    g = np.array([0.,0.5,1.,1.5,2.0,2.5,3.0,3.5,4.0,5.0])
+    case_inputs_control[('DISCON_in','TD_Mode')] = {'vals': [1], 'group': start_group}
+    case_inputs_control[('DISCON_in','FA_KI')] = {'vals': (g*0.0175).tolist(), 'group': start_group+1}
+    case_inputs_control[('DISCON_in','FA_HPFCornerFreq')] = {'vals': [0.1], 'group': start_group}
+    case_inputs_control[('DISCON_in','FA_IntSat')] = {'vals': [0.2618], 'group': start_group}
+
+    # [-0.5236,-0.43633,-0.34907,-0.2618,-0.17453,-0.087266           0    0.087266     0.17453      0.2618     0.34907     0.43633      0.5236     0.61087     0.69813      0.7854'
+
+    return case_inputs_control
+
+def sweep_max_torque(start_group, **control_sweep_opts):
+    case_inputs_control = {}
+    max_torque = np.array([1.,1.05,1.1,1.15,1.2]) * 18651.96057000 
+    case_inputs_control[('DISCON_in','VS_MaxTq')] = {'vals': max_torque, 'group': start_group}
+
+    return case_inputs_control
+
+def sweep_ps_percent(start_group, **control_sweep_opts):
+        case_inputs_control = {}
+        
+        # Set sweep limits here
+        ps_perc = np.linspace(.7,1,num=8,endpoint=True).tolist()
+        
+        # load default params          
+        control_param_yaml  = control_sweep_opts['tuning_yaml']
+        inps                = load_rosco_yaml(control_param_yaml)
+        path_params         = inps['path_params']
+        turbine_params      = inps['turbine_params']
+        controller_params   = inps['controller_params']
+
+        # make default controller, turbine objects for ROSCO_toolbox
+        turbine             = ROSCO_turbine.Turbine(turbine_params)
+        turbine.load_from_fast( path_params['FAST_InputFile'],path_params['FAST_directory'], dev_branch=True)
+
+        controller          = ROSCO_controller.Controller(controller_params)
+
+        # tune default controller
+        controller.tune_controller(turbine)
+
+        # Loop through and make min pitch tables
+        ps_ws = []
+        ps_mp = []
+        m_ps  = []  # flattened (omega,zeta) pairs
+        for p in ps_perc:
+            controller.ps_percent = p
+            controller.tune_controller(turbine)
+            m_ps.append(controller.ps_min_bld_pitch)
+            ps_ws.append(controller.v)
+
+        # add control gains to case_list
+        # case_inputs_control[('meta','ps_perc')]          = {'vals': ps_perc, 'group': start_group}
+        case_inputs_control[('DISCON_in', 'PS_BldPitchMin')] = {'vals': m_ps, 'group': start_group}
+        case_inputs_control[('DISCON_in', 'PS_WindSpeeds')] = {'vals': ps_ws, 'group': start_group}
+
+        return case_inputs_control
+
+
+#  def sweep_pc_mode(cont_yaml,omega=np.linspace(.05,.35,8,endpoint=True).tolist(),zeta=[1.5],group=2):
+    
+    
+#     inps                = yaml.safe_load(open(cont_yaml))
+#     path_params         = inps['path_params']
+#     turbine_params      = inps['turbine_params']
+#     controller_params   = inps['controller_params']
+
+#     # make default controller, turbine objects for ROSCO_toolbox
+#     turbine             = ROSCO_turbine.Turbine(turbine_params)
+#     turbine.load_from_fast( path_params['FAST_InputFile'],path_params['FAST_directory'], dev_branch=True)
+
+#     controller          = ROSCO_controller.Controller(controller_params)
+
+#     # tune default controller
+#     controller.tune_controller(turbine)
+
+#     # check if inputs are lists
+#     if not isinstance(omega,list):
+#         omega = [omega]
+#     if not isinstance(zeta,list):
+#         zeta = [zeta]
+
+#     # Loop through and make PI gains
+#     pc_kp = []
+#     pc_ki = []
+#     m_omega = []  # flattened (omega,zeta) pairs
+#     m_zeta = []  # flattened (omega,zeta) pairs
+#     for o in omega:
+#         for z in zeta:
+#             controller.omega_pc = o
+#             controller.zeta_pc  = z
+#             controller.tune_controller(turbine)
+#             pc_kp.append(controller.pc_gain_schedule.Kp.tolist())
+#             pc_ki.append(controller.pc_gain_schedule.Ki.tolist())
+#             m_omega.append(o)
+#             m_zeta.append(z)
+
+#     # add control gains to case_list
+#     case_inputs = {}
+#     case_inputs[('meta','omega')]          = {'vals': m_omega, 'group': group}
+#     case_inputs[('meta','zeta')]          = {'vals': m_zeta, 'group': group}
+#     case_inputs[('DISCON_in', 'PC_GS_KP')] = {'vals': pc_kp, 'group': group}
+#     case_inputs[('DISCON_in', 'PC_GS_KI')] = {'vals': pc_ki, 'group': group}
+
+#     return case_inputs
+
+ ## Old sweep functions
+     # # Tune Floating Feedback Gain
+    # if tune == 'fl_gain':
+    #     case_inputs[('DISCON_in','Fl_Kp')] = {'vals': np.linspace(0,-18,6,endpoint=True).tolist(), 'group': 2}
+
+    # elif tune == 'fl_phase':
+    #     case_inputs[('DISCON_in','Fl_Kp')] = {'vals': 8*[-25], 'group': 2}
+    #     case_inputs[('DISCON_in','F_FlCornerFreq')] = {'vals': 8*[0.300], 'group': 2}
+    #     case_inputs[('DISCON_in','F_FlHighPassFreq')] = {'vals':[0.001,0.005,0.010,0.020,0.030,0.042,0.060,0.100], 'group': 2}
+    #     case_inputs[('meta','Fl_Phase')] = {'vals':8*[-50],'group':2}
+
+    # elif tune == 'pc_mode':
+    #     # define omega, zeta
+    #     omega = np.linspace(.05,.25,8,endpoint=True).tolist()
+    #     zeta  = np.linspace(1,3,3,endpoint=True).tolist()
+        
+    #     control_case_inputs = sweep_pc_mode(omega,zeta)
+    #     case_inputs.update(control_case_inputs)
+
+
+
+    # elif tune == 'max_tq':
+    #     case_inputs[('DISCON_in','VS_MaxTq')] = {'vals': [19624046.66639, 1.5*19624046.66639], 'group': 3}
+
+    # elif tune == 'yaw':
+    #     case_inputs[('ElastoDyn','NacYaw')]     = {'vals': [-10,0,10], 'group': 3}
 
 
 
diff --git a/ROSCO/ROSCO_toolbox/ofTools/case_gen/runFAST_pywrapper.py b/ROSCO/ROSCO_toolbox/ofTools/case_gen/runFAST_pywrapper.py
index e07157130..886d496b7 100644
--- a/ROSCO/ROSCO_toolbox/ofTools/case_gen/runFAST_pywrapper.py
+++ b/ROSCO/ROSCO_toolbox/ofTools/case_gen/runFAST_pywrapper.py
@@ -5,23 +5,56 @@
 """
 # Hacky way of doing relative imports
 from __future__ import print_function
-import os, sys, time
+import os, platform
 import multiprocessing as mp
-# sys.path.insert(0, os.path.abspath(".."))
 
-from ROSCO_toolbox.ofTools.fast_io.FAST_reader import InputReader_Common, InputReader_OpenFAST, InputReader_FAST7
-from ROSCO_toolbox.ofTools.fast_io.FAST_writer import InputWriter_Common, InputWriter_OpenFAST, InputWriter_FAST7
-from ROSCO_toolbox.ofTools.fast_io.FAST_wrapper import FastWrapper
-from ROSCO_toolbox.ofTools.fast_io.FAST_post   import FAST_IO_timeseries
+from ROSCO_toolbox.ofTools.fast_io.FAST_reader import InputReader_OpenFAST
+from ROSCO_toolbox.ofTools.fast_io.FAST_writer import InputWriter_OpenFAST
+from ROSCO_toolbox.ofTools.fast_io.FAST_wrapper import FAST_wrapper
+
+# TODO: import weis and use library, import pCrunch and re-enable post-processing features available here
 
 import numpy as np
 
+mactype = platform.system().lower()
+if mactype in ["linux", "linux2"]:
+    libext = ".so"
+elif mactype in ["win32", "windows", "cygwin"]: #NOTE: platform.system()='Windows', sys.platform='win32'
+    libext = '.dll'
+elif mactype == "darwin":
+    libext = '.dylib'
+else:
+    raise ValueError('Unknown platform type: '+mactype)
+
+
+# magnitude_channels_default = {
+#     'LSShftF': ["RotThrust", "LSShftFys", "LSShftFzs"], 
+#     'LSShftM': ["RotTorq", "LSSTipMys", "LSSTipMzs"],
+#     'RootMc1': ["RootMxc1", "RootMyc1", "RootMzc1"],
+#     'RootMc2': ["RootMxc2", "RootMyc2", "RootMzc2"],
+#     'RootMc3': ["RootMxc3", "RootMyc3", "RootMzc3"],
+#     'TipDc1': ['TipDxc1', 'TipDyc1', 'TipDzc1'],
+#     'TipDc2': ['TipDxc2', 'TipDyc2', 'TipDzc2'],
+#     'TipDc3': ['TipDxc3', 'TipDyc3', 'TipDzc3'],
+#     'TwrBsM': ['TwrBsMxt', 'TwrBsMyt', 'TwrBsMzt'],
+# }
+
+# fatigue_channels_default = {
+#     'RootMc1': FatigueParams(slope=10),
+#     'RootMc2': FatigueParams(slope=10),
+#     'RootMc3': FatigueParams(slope=10),
+#     'RootMyb1': FatigueParams(slope=10),
+#     'RootMyb2': FatigueParams(slope=10),
+#     'RootMyb3': FatigueParams(slope=10),
+#     'TwrBsM': FatigueParams(slope=4),
+#     'LSShftM': FatigueParams(slope=4),
+# }
 class runFAST_pywrapper(object):
 
     def __init__(self, **kwargs):
-        self.FAST_ver = 'OPENFAST' #(FAST7, FAST8, OPENFAST)
 
         self.FAST_exe           = None
+        self.FAST_lib           = None
         self.FAST_InputFile     = None
         self.FAST_directory     = None
         self.FAST_runDirectory  = None
@@ -31,8 +64,15 @@ def __init__(self, **kwargs):
         self.fst_vt             = {}
         self.case               = {}     # dictionary of variable values to change
         self.channels           = {}     # dictionary of output channels to change
-        self.debug_level        = 0
-
+        self.keep_time          = False
+        self.use_exe            = True  # use openfast executable instead of library, helpful for debugging sometimes
+        self.goodman            = False
+        # self.magnitude_channels = magnitude_channels_default
+        # self.fatigue_channels   = fatigue_channels_default
+        self.la                 = None # Will be initialized on first run through
+        self.allow_fails        = False
+        self.fail_value         = 9999
+        
         self.overwrite_outfiles = True   # True: existing output files will be overwritten, False: if output file with the same name already exists, OpenFAST WILL NOT RUN; This is primarily included for code debugging with OpenFAST in the loop or for specific Optimization Workflows where OpenFAST is to be run periodically instead of for every objective function anaylsis
 
         # Optional population class attributes from key word arguments
@@ -44,29 +84,29 @@ def __init__(self, **kwargs):
 
         super(runFAST_pywrapper, self).__init__()
 
+    # def init_crunch(self):
+    #     if self.la is None:
+    #         self.la = LoadsAnalysis(
+    #             outputs=[],
+    #             magnitude_channels=self.magnitude_channels,
+    #             fatigue_channels=self.fatigue_channels,
+    #             #extreme_channels=channel_extremes_default,
+    #         )
+        
     def execute(self):
 
         # FAST version specific initialization
-        if self.FAST_ver.lower() == 'fast7':
-            reader = InputReader_FAST7(FAST_ver=self.FAST_ver)
-            writer = InputWriter_FAST7(FAST_ver=self.FAST_ver)
-        elif self.FAST_ver.lower() in ['fast8','openfast']:
-            reader = InputReader_OpenFAST(FAST_ver=self.FAST_ver)
-            writer = InputWriter_OpenFAST(FAST_ver=self.FAST_ver)
-        wrapper = FastWrapper(FAST_ver=self.FAST_ver, debug_level=self.debug_level)
+        reader = InputReader_OpenFAST()
+        writer = InputWriter_OpenFAST()
 
         # Read input model, FAST files or Yaml
         if self.fst_vt == {}:
-            if self.read_yaml:
-                reader.FAST_yamlfile = self.FAST_yamlfile_in
-                reader.read_yaml()
-            else:
-                reader.FAST_InputFile = self.FAST_InputFile
-                reader.FAST_directory = self.FAST_directory
-                reader.execute()
+            reader.FAST_InputFile = self.FAST_InputFile
+            reader.FAST_directory = self.FAST_directory
+            reader.execute()
         
             # Initialize writer variables with input model
-            writer.fst_vt = reader.fst_vt
+            writer.fst_vt = self.fst_vt = reader.fst_vt
         else:
             writer.fst_vt = self.fst_vt
         writer.FAST_runDirectory = self.FAST_runDirectory
@@ -83,34 +123,116 @@ def execute(self):
             writer.FAST_yamlfile = self.FAST_yamlfile_out
             writer.write_yaml()
 
-        # Run FAST
-        wrapper.FAST_exe = self.FAST_exe
-        wrapper.FAST_InputFile = os.path.split(writer.FAST_InputFileOut)[1]
-        wrapper.FAST_directory = os.path.split(writer.FAST_InputFileOut)[0]
+        # Make sure pCrunch is ready
+        # self.init_crunch()
+            
+        if not self.use_exe: # Use library
+            raise Exception('ROSCO ofTools does not support running OpenFAST from a library, need to import WEIS.')
 
-        FAST_Output     = os.path.join(wrapper.FAST_directory, wrapper.FAST_InputFile[:-3]+'outb')
-        FAST_Output_txt = os.path.join(wrapper.FAST_directory, wrapper.FAST_InputFile[:-3]+'out')
+            # FAST_directory = os.path.split(writer.FAST_InputFileOut)[0]
+            
+            # orig_dir = os.getcwd()
+            # os.chdir(FAST_directory)
+        
+            # openfastlib = FastLibAPI(self.FAST_lib, os.path.abspath(os.path.basename(writer.FAST_InputFileOut)))
+            # openfastlib.fast_run()
 
-        #check if OpenFAST is set not to overwrite existing output files, TODO: move this further up in the workflow for minor computation savings
-        if self.overwrite_outfiles or (not self.overwrite_outfiles and not (os.path.exists(FAST_Output) or os.path.exists(FAST_Output_txt))):
-            wrapper.execute()
-        else:
-            if self.debug_level>0:
-                print('OpenFAST not execute: Output file "%s" already exists. To overwrite this output file, set "overwrite_outfiles = True".'%FAST_Output)
+            # output_dict = {}
+            # for i, channel in enumerate(openfastlib.output_channel_names):
+            #     output_dict[channel] = openfastlib.output_values[:,i]
+            # del(openfastlib)
+            
+            # # Add channel to indicate failed run
+            # output_dict['openfast_failed'] = np.zeros(len(output_dict[channel]))
+
+            # output = OpenFASTOutput.from_dict(output_dict, self.FAST_namingOut, magnitude_channels=self.magnitude_channels)
+
+            # # if save_file: write_fast
+            # os.chdir(orig_dir)
+
+            # if not self.keep_time: output_dict = None
+
+        else: # use executable
+            wrapper = FAST_wrapper()
+
+            # Run FAST
+            wrapper.FAST_exe = self.FAST_exe
+            wrapper.FAST_InputFile = os.path.split(writer.FAST_InputFileOut)[1]
+            wrapper.FAST_directory = os.path.split(writer.FAST_InputFileOut)[0]
+
+            wrapper.allow_fails = self.allow_fails
+            wrapper.fail_value  = self.fail_value
+
+            FAST_Output     = os.path.join(wrapper.FAST_directory, wrapper.FAST_InputFile[:-3]+'outb')
+            FAST_Output_txt = os.path.join(wrapper.FAST_directory, wrapper.FAST_InputFile[:-3]+'out')
+
+            #check if OpenFAST is set not to overwrite existing output files, TODO: move this further up in the workflow for minor computation savings
+            if self.overwrite_outfiles or (not self.overwrite_outfiles and not (os.path.exists(FAST_Output) or os.path.exists(FAST_Output_txt))):
+                failed = wrapper.execute()
+                if failed:
+                    print('OpenFAST Failed! Please check the run logs.')
+                    if self.allow_fails:
+                        print(f'OpenFAST failures are allowed. All outputs set to {self.fail_value}')
+                    else:
+                        raise Exception('OpenFAST Failed! Please check the run logs.')
+            else:
+                failed = False
+                print('OpenFAST not executed: Output file "%s" already exists. To overwrite this output file, set "overwrite_outfiles = True".'%FAST_Output)
+
+            # if not failed:
+            #     if os.path.exists(FAST_Output):
+            #         output_init = OpenFASTBinary(FAST_Output, magnitude_channels=self.magnitude_channels)
+            #     elif os.path.exists(FAST_Output_txt):
+            #         output_init = OpenFASTAscii(FAST_Output, magnitude_channels=self.magnitude_channels)
+                    
+            #     output_init.read()
+
+            #     # Make output dict
+            #     output_dict = {}
+            #     for i, channel in enumerate(output_init.channels):
+            #         output_dict[channel] = output_init.df[channel].to_numpy()
+
+            #     # Add channel to indicate failed run
+            #     output_dict['openfast_failed'] = np.zeros(len(output_dict[channel]))
+
+            #     # Re-make output
+            #     output = OpenFASTOutput.from_dict(output_dict, self.FAST_namingOut)
+            
+            # else: # fill with -9999s
+            #     output_dict = {}
+            #     output_dict['Time'] = np.arange(self.fst_vt['Fst']['TStart'],self.fst_vt['Fst']['TMax'],self.fst_vt['Fst']['DT'])
+            #     for module in self.fst_vt['outlist']:
+            #         for channel in self.fst_vt['outlist'][module]:
+            #             if self.fst_vt['outlist'][module][channel]:
+            #                 output_dict[channel] = np.full(len(output_dict['Time']),fill_value=self.fail_value, dtype=np.uint8) 
+
+            #     # Add channel to indicate failed run
+            #     output_dict['openfast_failed'] = np.ones(len(output_dict['Time']), dtype=np.uint8)
+
+            #     output = OpenFASTOutput.from_dict(output_dict, self.FAST_namingOut, magnitude_channels=self.magnitude_channels)
+
+
+
+        # # Trim Data
+        # if self.fst_vt['Fst']['TStart'] > 0.0:
+        #     output.trim_data(tmin=self.fst_vt['Fst']['TStart'], tmax=self.fst_vt['Fst']['TMax'])
+        # case_name, sum_stats, extremes, dels, damage = self.la._process_output(output,
+        #                                                                        return_damage=True,
+        #                                                                        goodman_correction=self.goodman)
+
+        # return case_name, sum_stats, extremes, dels, damage, output_dict
 
-        return FAST_Output
 
 class runFAST_pywrapper_batch(object):
 
-    def __init__(self, **kwargs):
+    def __init__(self):
 
-        self.FAST_ver           = 'OpenFAST'
         run_dir                 = os.path.dirname( os.path.dirname( os.path.dirname( os.path.realpath(__file__) ) ) ) + os.sep
         self.FAST_exe           = os.path.join(run_dir, 'local/bin/openfast')   # Path to executable
+        # self.FAST_lib           = os.path.join(lib_dir, 'libopenfastlib'+libext) 
         self.FAST_InputFile     = None
         self.FAST_directory     = None
         self.FAST_runDirectory  = None
-        self.debug_level        = 0
 
         self.read_yaml          = False
         self.FAST_yamlfile_in   = ''
@@ -123,30 +245,85 @@ def __init__(self, **kwargs):
         self.channels           = {}
 
         self.overwrite_outfiles = True
-
+        self.keep_time          = False
+
+        self.goodman            = False
+        # self.magnitude_channels = magnitude_channels_default
+        # self.fatigue_channels   = fatigue_channels_default
+        self.la                 = None
+        self.use_exe            = True
+        self.allow_fails        = False
+        self.fail_value         = 9999
+        
         self.post               = None
 
-        # Optional population of class attributes from key word arguments
-        for (k, w) in kwargs.items():
-            try:
-                setattr(self, k, w)
-            except:
-                pass
+    # def init_crunch(self):
+    #     if self.la is None:
+    #         self.la = LoadsAnalysis(
+    #             outputs=[],
+    #             magnitude_channels=self.magnitude_channels,
+    #             fatigue_channels=self.fatigue_channels,
+    #             #extreme_channels=channel_extremes_default,
+    #         )
 
-        super(runFAST_pywrapper_batch, self).__init__()
+    def create_case_data(self):
 
-        
+        case_data_all = []
+        for i in range(len(self.case_list)):
+            case_data = {}
+            case_data['case']               = self.case_list[i]
+            case_data['case_name']          = self.case_name_list[i]
+            case_data['FAST_exe']           = self.FAST_exe
+            # case_data['FAST_lib']           = self.FAST_lib
+            case_data['FAST_runDirectory']  = self.FAST_runDirectory
+            case_data['FAST_InputFile']     = self.FAST_InputFile
+            case_data['FAST_directory']     = self.FAST_directory
+            case_data['read_yaml']          = self.read_yaml
+            case_data['FAST_yamlfile_in']   = self.FAST_yamlfile_in
+            case_data['fst_vt']             = self.fst_vt
+            case_data['write_yaml']         = self.write_yaml
+            case_data['FAST_yamlfile_out']  = self.FAST_yamlfile_out
+            case_data['channels']           = self.channels
+            case_data['overwrite_outfiles'] = self.overwrite_outfiles
+            case_data['use_exe']            = self.use_exe
+            case_data['allow_fails']        = self.allow_fails
+            case_data['fail_value']         = self.fail_value
+            case_data['keep_time']          = self.keep_time
+            case_data['goodman']            = self.goodman
+            # case_data['magnitude_channels'] = self.magnitude_channels
+            # case_data['fatigue_channels']   = self.fatigue_channels
+            case_data['post']               = self.post
+
+            case_data_all.append(case_data)
+
+        return case_data_all
+    
     def run_serial(self):
         # Run batch serially
-
         if not os.path.exists(self.FAST_runDirectory):
             os.makedirs(self.FAST_runDirectory)
 
-        out = [None]*len(self.case_list)
-        for i, (case, case_name) in enumerate(zip(self.case_list, self.case_name_list)):
-            out[i] = eval(case, case_name, self.FAST_ver, self.FAST_exe, self.FAST_runDirectory, self.FAST_InputFile, self.FAST_directory, self.read_yaml, self.FAST_yamlfile_in, self.fst_vt, self.write_yaml, self.FAST_yamlfile_out, self.channels, self.debug_level, self.overwrite_outfiles, self.post)
+        # self.init_crunch()
+            
+        case_data_all = self.create_case_data()
+            
+        # ss = {}
+        # et = {}
+        # dl = {}
+        # dam = {}
+        # ct = []
+        for c in case_data_all:
+            # _name, _ss, _et, _dl, _dam, _ct = evaluate(c)
+            evaluate(c)
+            # ss[_name] = _ss
+            # et[_name] = _et
+            # dl[_name] = _dl
+            # dam[_name] = _dam
+            # ct.append(_ct)
+            
+        # summary_stats, extreme_table, DELs, Damage = self.la.post_process(ss, et, dl, dam)
 
-        return out
+        # return summary_stats, extreme_table, DELs, Damage, ct
 
     def run_multi(self, cores=None):
         # Run cases in parallel, threaded with multiprocessing module
@@ -158,35 +335,32 @@ def run_multi(self, cores=None):
             cores = mp.cpu_count()
         pool = mp.Pool(cores)
 
-        case_data_all = []
-        for i in range(len(self.case_list)):
-            case_data = []
-            case_data.append(self.case_list[i])
-            case_data.append(self.case_name_list[i])
-            case_data.append(self.FAST_ver)
-            case_data.append(self.FAST_exe)
-            case_data.append(self.FAST_runDirectory)
-            case_data.append(self.FAST_InputFile)
-            case_data.append(self.FAST_directory)
-            case_data.append(self.read_yaml)
-            case_data.append(self.FAST_yamlfile_in)
-            case_data.append(self.fst_vt)
-            case_data.append(self.write_yaml)
-            case_data.append(self.FAST_yamlfile_out)
-            case_data.append(self.channels)
-            case_data.append(self.debug_level)
-            case_data.append(self.overwrite_outfiles)
-            case_data.append(self.post)
+        # self.init_crunch()
 
-            case_data_all.append(case_data)
+        case_data_all = self.create_case_data()
 
-        output = pool.map(eval_multi, case_data_all)
+        output = pool.map(evaluate_multi, case_data_all)
         pool.close()
         pool.join()
 
-        return output
+        # ss = {}
+        # et = {}
+        # dl = {}
+        # dam = {}
+        # ct = []
+        # for _name, _ss, _et, _dl, _dam, _ct in output:
+        #     ss[_name] = _ss
+        #     et[_name] = _et
+        #     dl[_name] = _dl
+        #     dam[_name] = _dam
+        #     ct.append(_ct)
+            
+        # summary_stats, extreme_table, DELs, Damage = self.la.post_process(ss, et, dl, dam)
+
+        # return summary_stats, extreme_table, DELs, Damage, ct
 
     def run_mpi(self, mpi_comm_map_down):
+
         # Run in parallel with mpi
         from mpi4py import MPI
 
@@ -203,27 +377,9 @@ def run_mpi(self, mpi_comm_map_down):
         if not os.path.exists(self.FAST_runDirectory) and rank == 0:
             os.makedirs(self.FAST_runDirectory)
 
-        case_data_all = []
-        for i in range(N_cases):
-            case_data = []
-            case_data.append(self.case_list[i])
-            case_data.append(self.case_name_list[i])
-            case_data.append(self.FAST_ver)
-            case_data.append(self.FAST_exe)
-            case_data.append(self.FAST_runDirectory)
-            case_data.append(self.FAST_InputFile)
-            case_data.append(self.FAST_directory)
-            case_data.append(self.read_yaml)
-            case_data.append(self.FAST_yamlfile_in)
-            case_data.append(self.fst_vt)
-            case_data.append(self.write_yaml)
-            case_data.append(self.FAST_yamlfile_out)
-            case_data.append(self.channels)
-            case_data.append(self.debug_level)
-            case_data.append(self.overwrite_outfiles)
-            case_data.append(self.post)
+        # self.init_crunch()
 
-            case_data_all.append(case_data)
+        case_data_all = self.create_case_data()
 
         output = []
         for i in range(N_loops):
@@ -231,7 +387,7 @@ def run_mpi(self, mpi_comm_map_down):
             idx_e    = min((i+1)*size, N_cases)
 
             for j, case_data in enumerate(case_data_all[idx_s:idx_e]):
-                data   = [eval_multi, case_data]
+                data   = [evaluate_multi, case_data]
                 rank_j = sub_ranks[j]
                 comm.send(data, dest=rank_j, tag=0)
 
@@ -241,291 +397,45 @@ def run_mpi(self, mpi_comm_map_down):
                 data_out = comm.recv(source=rank_j, tag=1)
                 output.append(data_out)
 
-        return output
-
-
-    # def run_mpi(self, comm=None):
-    #     # Run in parallel with mpi
-    #     from mpi4py import MPI
-
-    #     # mpi comm management
-    #     if not comm:
-    #         comm = MPI.COMM_WORLD
-    #     size = comm.Get_size()
-    #     rank = comm.Get_rank()
-
-    #     N_cases = len(self.case_list)
-    #     N_loops = int(np.ceil(float(N_cases)/float(size)))
+        # ss = {}
+        # et = {}
+        # dl = {}
+        # dam = {}
+        # ct = []
+        # for _name, _ss, _et, _dl, _dam, _ct in output:
+        #     ss[_name] = _ss
+        #     et[_name] = _et
+        #     dl[_name] = _dl
+        #     dam[_name] = _dam
+        #     ct.append(_ct)
+
+        # summary_stats, extreme_table, DELs, Damage = self.la.post_process(ss, et, dl, dam)
         
-    #     # file management
-    #     if not os.path.exists(self.FAST_runDirectory) and rank == 0:
-    #         os.makedirs(self.FAST_runDirectory)
-
-    #     if rank == 0:
-    #         case_data_all = []
-    #         for i in range(N_cases):
-    #             case_data = []
-    #             case_data.append(self.case_list[i])
-    #             case_data.append(self.case_name_list[i])
-    #             case_data.append(self.FAST_ver)
-    #             case_data.append(self.FAST_exe)
-    #             case_data.append(self.FAST_runDirectory)
-    #             case_data.append(self.FAST_InputFile)
-    #             case_data.append(self.FAST_directory)
-    #             case_data.append(self.read_yaml)
-    #             case_data.append(self.FAST_yamlfile_in)
-    #             case_data.append(self.fst_vt)
-    #             case_data.append(self.write_yaml)
-    #             case_data.append(self.FAST_yamlfile_out)
-    #             case_data.append(self.channels)
-    #             case_data.append(self.debug_level)
-    #             case_data.append(self.post)
-
-    #             case_data_all.append(case_data)
-    #     else:
-    #         case_data_all = []
-
-    #     output = []
-    #     for i in range(N_loops):
-    #         # if # of cases left to run is less than comm size, split comm
-    #         n_resid = N_cases - i*size
-    #         if n_resid < size: 
-    #             split_comm = True
-    #             color = np.zeros(size)
-    #             for i in range(n_resid):
-    #                 color[i] = 1
-    #             color = [int(j) for j in color]
-    #             comm_i  = MPI.COMM_WORLD.Split(color, 1)
-    #         else:
-    #             split_comm = False
-    #             comm_i = comm
-
-    #         # position in case list
-    #         idx_s  = i*size
-    #         idx_e  = min((i+1)*size, N_cases)
-
-    #         # scatter out cases
-    #         if split_comm:
-    #             if color[rank] == 1:
-    #                 case_data_i = comm_i.scatter(case_data_all[idx_s:idx_e], root=0)    
-    #         else:
-    #             case_data_i = comm_i.scatter(case_data_all[idx_s:idx_e], root=0)
-            
-    #         # eval
-    #         out = eval_multi(case_data_i)
-
-    #         # gather results
-    #         if split_comm:
-    #             if color[rank] == 1:
-    #                 output_i = comm_i.gather(out, root=0)
-    #         else:
-    #             output_i = comm_i.gather(out, root=0)
-
-    #         if rank == 0:
-    #             output.extend(output_i)
+        # return summary_stats, extreme_table, DELs, Damage, ct
 
-        # return output
 
 
-
-def eval(case, case_name, FAST_ver, FAST_exe, FAST_runDirectory, FAST_InputFile, FAST_directory, read_yaml, FAST_yamlfile_in, fst_vt, write_yaml, FAST_yamlfile_out, channels, debug_level, overwrite_outfiles, post):
+def evaluate(indict):
     # Batch FAST pyWrapper call, as a function outside the runFAST_pywrapper_batch class for pickle-ablility
 
-    fast = runFAST_pywrapper(FAST_ver=FAST_ver)
-    fast.FAST_exe           = FAST_exe
-    fast.FAST_InputFile     = FAST_InputFile
-    fast.FAST_directory     = FAST_directory
-    fast.FAST_runDirectory  = FAST_runDirectory
-
-    fast.read_yaml          = read_yaml
-    fast.FAST_yamlfile_in   = FAST_yamlfile_in
-    fast.fst_vt             = fst_vt
-    fast.write_yaml         = write_yaml
-    fast.FAST_yamlfile_out  = FAST_yamlfile_out
-
-    fast.FAST_namingOut     = case_name
-    fast.case               = case
-    fast.channels           = channels
-    fast.debug_level        = debug_level
-
-    fast.overwrite_outfiles = overwrite_outfiles
-
-    FAST_Output = fast.execute()
-
-    # Post process
-    if post:
-        out = post(FAST_Output)
-    else:
-        out = []
-
-    return out
+    # Could probably do this with vars(fast), but this gives tighter control
+    known_keys = ['case', 'case_name', 'FAST_exe', 'FAST_lib', 'FAST_runDirectory',
+                  'FAST_InputFile', 'FAST_directory', 'read_yaml', 'FAST_yamlfile_in', 'fst_vt',
+                  'write_yaml', 'FAST_yamlfile_out', 'channels', 'overwrite_outfiles', 'keep_time',
+                  'goodman','magnitude_channels','fatigue_channels','post','use_exe','allow_fails','fail_value']
+    
+    fast = runFAST_pywrapper()
+    for k in indict:
+        if k == 'case_name':
+            fast.FAST_namingOut = indict['case_name']
+        elif k in known_keys:
+            setattr(fast, k, indict[k])
+        else:
+            print(f'WARNING: Unknown OpenFAST executation parameter, {k}')
+    
+    return fast.execute()
 
-def eval_multi(data):
+def evaluate_multi(indict):
     # helper function for running with multiprocessing.Pool.map
     # converts list of arguement values to arguments
-    return eval(data[0], data[1], data[2], data[3], data[4], data[5], data[6], data[7], data[8], data[9], data[10], data[11], data[12], data[13], data[14], data[15])
-
-def example_runFAST_pywrapper_batch():
-    """ 
-    Example of running a batch of cases, in serial or in parallel
-    """
-    fastBatch = runFAST_pywrapper_batch(FAST_ver='OpenFAST')
-
-    # fastBatch.FAST_exe = 'C:/Users/egaertne/WT_Codes/openfast/build/glue-codes/fast/openfast.exe'   # Path to executable
-   # fastBatch.FAST_InputFile = '5MW_Land_DLL_WTurb.fst'   # FAST input file (ext=.fst)
-    # fastBatch.FAST_directory = 'C:/Users/egaertne/WT_Codes/models/openfast/glue-codes/fast/5MW_Land_DLL_WTurb'   # Path to fst directory files
-    # fastBatch.FAST_runDirectory = 'temp/OpenFAST'
-    # fastBatch.debug_level = 2
-    fastBatch.FAST_exe          = '/projects/windse/importance_sampling/WT_Codes/openfast/build/glue-codes/openfast/openfast'   # Path to executable
-    fastBatch.FAST_InputFile    = '5MW_Land_DLL_WTurb.fst'   # FAST input file (ext=.fst)
-    fastBatch.FAST_directory    = "/projects/windse/importance_sampling/WISDEM/xloads_tc/templates/openfast/5MW_Land_DLL_WTurb-Shutdown"   # Path to fst directory files
-    fastBatch.FAST_runDirectory = 'temp/OpenFAST'
-    fastBatch.debug_level       = 2
-    fastBatch.post              = FAST_IO_timeseries
-
-
-    ## Define case list explicitly
-    # case_list = [{}, {}]
-    # case_list[0]['Fst', 'TMax'] = 4.
-    # case_list[1]['Fst', 'TMax'] = 5.
-    # case_name_list = ['test01', 'test02']
-
-    ## Generate case list using General Case Generator
-    ## Specify several variables that change independently or collectly
-    case_inputs = {}
-    case_inputs[("Fst","TMax")] = {'vals':[5.], 'group':0}
-    case_inputs[("InflowWind","WindType")] = {'vals':[1], 'group':0}
-    case_inputs[("Fst","OutFileFmt")] = {'vals':[2], 'group':0}
-    case_inputs[("InflowWind","HWindSpeed")] = {'vals':[8., 9., 10., 11., 12.], 'group':1}
-    case_inputs[("ElastoDyn","RotSpeed")] = {'vals':[9.156, 10.296, 11.431, 11.89, 12.1], 'group':1}
-    case_inputs[("ElastoDyn","BlPitch1")] = {'vals':[0., 0., 0., 0., 3.823], 'group':1}
-    case_inputs[("ElastoDyn","BlPitch2")] = case_inputs[("ElastoDyn","BlPitch1")]
-    case_inputs[("ElastoDyn","BlPitch3")] = case_inputs[("ElastoDyn","BlPitch1")]
-    case_inputs[("ElastoDyn","GenDOF")] = {'vals':['True','False'], 'group':2}
-    
-    from CaseGen_General import CaseGen_General
-    case_list, case_name_list = CaseGen_General(case_inputs, dir_matrix=fastBatch.FAST_runDirectory, namebase='testing')
-
-    fastBatch.case_list = case_list
-    fastBatch.case_name_list = case_name_list
-
-    # fastBatch.run_serial()
-    # fastBatch.run_multi(2)
-    fastBatch.run_mpi()
-
-
-def example_runFAST_CaseGenIEC():
-
-    from CaseGen_IEC import CaseGen_IEC
-    iec = CaseGen_IEC()
-
-    # Turbine Data
-    iec.init_cond = {} # can leave as {} if data not available
-    iec.init_cond[("ElastoDyn","RotSpeed")] = {'U':[3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25]}
-    iec.init_cond[("ElastoDyn","RotSpeed")]['val'] = [6.972, 7.183, 7.506, 7.942, 8.469, 9.156, 10.296, 11.431, 11.89, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1, 12.1]
-    iec.init_cond[("ElastoDyn","BlPitch1")] = {'U':[3., 4., 5., 6., 7., 8., 9., 10., 11., 12., 13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., 24., 25]}
-    iec.init_cond[("ElastoDyn","BlPitch1")]['val'] = [0., 0., 0., 0., 0., 0., 0., 0., 0., 3.823, 6.602, 8.668, 10.450, 12.055, 13.536, 14.920, 16.226, 17.473, 18.699, 19.941, 21.177, 22.347, 23.469]
-    iec.init_cond[("ElastoDyn","BlPitch2")] = iec.init_cond[("ElastoDyn","BlPitch1")]
-    iec.init_cond[("ElastoDyn","BlPitch3")] = iec.init_cond[("ElastoDyn","BlPitch1")]
-
-    iec.Turbine_Class = 'I' # I, II, III, IV
-    iec.Turbulence_Class = 'A'
-    iec.D = 126.
-    iec.z_hub = 90.
-
-    # DLC inputs
-    iec.dlc_inputs = {}
-    iec.dlc_inputs['DLC']   = [1.1, 1.5]
-    iec.dlc_inputs['U']     = [[8, 9, 10], [12]]
-    iec.dlc_inputs['Seeds'] = [[5, 6, 7], []]
-    iec.dlc_inputs['Yaw']   = [[], []]
-
-    iec.transient_dir_change        = 'both'  # '+','-','both': sign for transient events in EDC, EWS
-    iec.transient_shear_orientation = 'both'  # 'v','h','both': vertical or horizontal shear for EWS
-
-    # Naming, file management, etc
-    iec.wind_dir = 'temp/wind'
-    iec.case_name_base = 'testing'
-    iec.Turbsim_exe = 'C:/Users/egaertne/WT_Codes/Turbsim_v2.00.07/bin/TurbSim_x64.exe'
-    iec.debug_level = 2
-    iec.parallel_windfile_gen = True
-    iec.cores = 4
-    iec.run_dir = 'temp/OpenFAST'
-
-    # Run case generator / wind file writing
-    case_inputs = {}
-    case_inputs[('Fst','OutFileFmt')] = {'vals':[1], 'group':0}
-    case_list, case_name_list, dlc_list = iec.execute(case_inputs=case_inputs)
-
-    # Run FAST cases
-    fastBatch = runFAST_pywrapper_batch(FAST_ver='OpenFAST')
-    fastBatch.FAST_exe = 'C:/Users/egaertne/WT_Codes/openfast/build/glue-codes/fast/openfast.exe'   # Path to executable
-    fastBatch.FAST_InputFile = '5MW_Land_DLL_WTurb.fst'   # FAST input file (ext=.fst)
-    fastBatch.FAST_directory = 'C:/Users/egaertne/WT_Codes/models/openfast/glue-codes/fast/5MW_Land_DLL_WTurb'   # Path to fst directory files
-    fastBatch.FAST_runDirectory = iec.run_dir
-
-    fastBatch.case_list = case_list
-    fastBatch.case_name_list = case_name_list
-    fastBatch.debug_level = 2
-
-    # fastBatch.run_serial()
-    fastBatch.run_multi(4)
-
-    
-def example_runFAST_pywrapper():
-    """ 
-    Example of reading, writing, and running FAST 7, 8 and OpenFAST.
-    """
-
-    FAST_ver = 'OpenFAST'
-    fast = runFAST_pywrapper(FAST_ver=FAST_ver, debug_level=2)
-
-    if FAST_ver.lower() == 'fast7':
-        fast.FAST_exe = 'C:/Users/egaertne/WT_Codes/FAST_v7.02.00d-bjj/FAST.exe'   # Path to executable
-        fast.FAST_InputFile = 'Test12.fst'   # FAST input file (ext=.fst)
-        fast.FAST_directory = 'C:/Users/egaertne/WT_Codes/models/FAST_v7.02.00d-bjj/CertTest/'   # Path to fst directory files
-        fast.FAST_runDirectory = 'temp/FAST7'
-        fast.FAST_namingOut = 'test'
-
-    elif FAST_ver.lower() == 'fast8':
-        fast.FAST_exe = 'C:/Users/egaertne/WT_Codes/FAST_v8.16.00a-bjj/bin/FAST_Win32.exe'   # Path to executable
-        fast.FAST_InputFile = 'NREL5MW_onshore.fst'   # FAST input file (ext=.fst)
-        fast.FAST_directory = 'C:/Users/egaertne/WT_Codes/models/FAST_v8.16.00a-bjj/ref/5mw_onshore/'   # Path to fst directory files
-        fast.FAST_runDirectory = 'temp/FAST8'
-        fast.FAST_namingOut = 'test'
-
-    # elif FAST_ver.lower() == 'openfast':
-    #     fast.FAST_exe = 'C:/Users/egaertne/WT_Codes/openfast/build/glue-codes/fast/openfast.exe'   # Path to executable
-    #     fast.FAST_InputFile = '5MW_Land_DLL_WTurb.fst'   # FAST input file (ext=.fst)
-    #     fast.FAST_directory = 'C:/Users/egaertne/WT_Codes/models/openfast/glue-codes/fast/5MW_Land_DLL_WTurb'   # Path to fst directory files
-    #     fast.FAST_runDirectory = 'temp/OpenFAST'
-    #     fast.FAST_namingOut = 'test'
-
-    #     fast.read_yaml = False
-    #     fast.FAST_yamlfile_in = 'temp/OpenFAST/test.yaml'
-
-    #     fast.write_yaml = False
-    #     fast.FAST_yamlfile_out = 'temp/OpenFAST/test.yaml'
-    elif FAST_ver.lower() == 'openfast':
-        fast.FAST_exe = 'C:/Users/egaertne/WT_Codes/openfast-dev/build/glue-codes/openfast/openfast.exe'   # Path to executable
-        # fast.FAST_InputFile = '5MW_Land_DLL_WTurb.fst'   # FAST input file (ext=.fst)
-        # fast.FAST_directory = 'C:/Users/egaertne/WT_Codes/models/openfast-dev/r-test/glue-codes/openfast/5MW_Land_DLL_WTurb'   # Path to fst directory files
-        fast.FAST_InputFile = '5MW_OC3Spar_DLL_WTurb_WavesIrr.fst'   # FAST input file (ext=.fst)
-        fast.FAST_directory = 'C:/Users/egaertne/WT_Codes/models/openfast-dev/r-test/glue-codes/openfast/5MW_OC3Spar_DLL_WTurb_WavesIrr'   # Path to fst directory files
-        fast.FAST_runDirectory = 'temp/OpenFAST'
-        fast.FAST_namingOut = 'test_run_spar'
-
-        fast.read_yaml = False
-        fast.FAST_yamlfile_in = 'temp/OpenFAST/test.yaml'
-
-        fast.write_yaml = False
-        fast.FAST_yamlfile_out = 'temp/OpenFAST/test.yaml'
-
-    fast.execute()
-
-
-if __name__=="__main__":
-
-    # example_runFAST_pywrapper()
-    example_runFAST_pywrapper_batch()
-    # example_runFAST_CaseGenIEC()
\ No newline at end of file
+    return evaluate(indict)
diff --git a/ROSCO/ROSCO_toolbox/ofTools/case_gen/run_FAST.py b/ROSCO/ROSCO_toolbox/ofTools/case_gen/run_FAST.py
index 26cc8a22b..a0c31925e 100644
--- a/ROSCO/ROSCO_toolbox/ofTools/case_gen/run_FAST.py
+++ b/ROSCO/ROSCO_toolbox/ofTools/case_gen/run_FAST.py
@@ -7,7 +7,7 @@
 from ROSCO_toolbox.ofTools.case_gen.runFAST_pywrapper   import runFAST_pywrapper, runFAST_pywrapper_batch
 from ROSCO_toolbox.ofTools.case_gen.CaseGen_IEC         import CaseGen_IEC
 from ROSCO_toolbox.ofTools.case_gen.CaseGen_General     import CaseGen_General
-from ROSCO_toolbox.ofTools.case_gen.CaseLibrary         import power_curve, set_channels, find_max_group, sweep_rated_torque, load_tuning_yaml, simp_step
+from ROSCO_toolbox.ofTools.case_gen import CaseLibrary as cl
 from wisdem.commonse.mpi_tools              import MPI
 import sys, os, platform
 import numpy as np
@@ -20,174 +20,263 @@
 # Globals
 this_dir        = os.path.dirname(os.path.abspath(__file__))
 tune_case_dir   = os.path.realpath(os.path.join(this_dir,'../../../Tune_Cases'))
+rosco_dir       = os.path.realpath(os.path.join(this_dir,'../../..'))
+
+class run_FAST_ROSCO():
+
+    def __init__(self):
+
+        # Set default parameters
+        self.tuning_yaml        = os.path.join(tune_case_dir,'IEA15MW.yaml')
+        self.wind_case_fcn      = cl.power_curve
+        self.wind_case_opts     = {}
+        self.control_sweep_opts = {}
+        self.control_sweep_fcn  = None
+        self.case_inputs        = {}
+        self.rosco_dll          = ''
+        self.save_dir           = os.path.join(rosco_dir,'outputs')
+        self.n_cores            = 1
+        self.base_name          = ''
+        self.controller_params  = {}   
+
+    def run_FAST(self):
+        # set up run directory
+        if self.control_sweep_fcn:
+            sweep_name = self.control_sweep_fcn.__name__
+        else:
+            sweep_name = 'base'
 
+        # Base name and run directory
+        if not self.base_name:
+            self.base_name = os.path.split(self.tuning_yaml)[-1].split('.')[0]
+        
+        run_dir = os.path.join(self.save_dir,self.base_name,self.wind_case_fcn.__name__,sweep_name)
 
-def run_FAST(tuning_yaml,wind_case_fcn,control_sweep_fcn,save_dir,n_cores=1):
-    # set up run directory
-    if control_sweep_fcn:
-        sweep_name = control_sweep_fcn.__name__
-    else:
-        sweep_name = 'base'
+        
+        # Start with tuning yaml definition of controller
+        if not os.path.isabs(self.tuning_yaml):
+            self.tuning_yaml = os.path.join(tune_case_dir,self.tuning_yaml)
+
+        # Load yaml file 
+        inps = load_rosco_yaml(self.tuning_yaml)
+        path_params         = inps['path_params']
+        turbine_params      = inps['turbine_params']
+        controller_params   = inps['controller_params']
+
+        # Update user-defined controller_params
+        controller_params.update(self.controller_params)
+
+        # Instantiate turbine, controller, and file processing classes
+        turbine         = ROSCO_turbine.Turbine(turbine_params)
+        controller      = ROSCO_controller.Controller(controller_params)
+
+        # Load turbine data from OpenFAST and rotor performance text file
+        tune_yaml_dir = os.path.split(self.tuning_yaml)[0]
+        cp_filename = os.path.join(
+            tune_yaml_dir,
+            path_params['FAST_directory'],
+            path_params['rotor_performance_filename']
+            )
+        turbine.load_from_fast(path_params['FAST_InputFile'], \
+            os.path.join(tune_yaml_dir,path_params['FAST_directory']), \
+            dev_branch=True,rot_source='txt',\
+            txt_filename=cp_filename)
+
+        # tune base controller defined by the yaml
+        controller.tune_controller(turbine)
+
+        # Apply all discon variables as case inputs
+        discon_vt = ROSCO_utilities.DISCON_dict(turbine, controller, txt_filename=cp_filename)
+        control_base_case = {}
+        for discon_input in discon_vt:
+            control_base_case[('DISCON_in',discon_input)] = {'vals': [discon_vt[discon_input]], 'group': 0}
+
+        # Set up wind case
+        self.wind_case_opts['run_dir'] = run_dir
+        case_inputs = self.wind_case_fcn(**self.wind_case_opts)
+        case_inputs.update(control_base_case)
+
+        # Set up rosco_dll
+        if not self.rosco_dll: 
+            rosco_dir            = os.path.realpath(os.path.join(os.path.dirname(__file__),'../../..')) 
+            if platform.system() == 'Windows':
+                rosco_dll = os.path.join(rosco_dir, 'ROSCO/build/libdiscon.dll')
+            elif platform.system() == 'Darwin':
+                rosco_dll = os.path.join(rosco_dir, 'ROSCO/build/libdiscon.dylib')
+            else:
+                rosco_dll = os.path.join(rosco_dir, 'ROSCO/build/libdiscon.so')
 
-    turbine_name = os.path.split(tuning_yaml)[-1].split('.')[0]
-    run_dir = os.path.join(save_dir,turbine_name,wind_case_fcn.__name__,sweep_name)
+        case_inputs[('ServoDyn','DLL_FileName')] = {'vals': [rosco_dll], 'group': 0}
 
-    
-    # Start with tuning yaml definition of controller
-    if not os.path.isabs(tuning_yaml):
-        tuning_yaml = os.path.join(tune_case_dir,tuning_yaml)
-
-
-    # Load yaml file 
-    inps = load_rosco_yaml(tuning_yaml)
-    path_params         = inps['path_params']
-    turbine_params      = inps['turbine_params']
-    controller_params   = inps['controller_params']
-
-    # Instantiate turbine, controller, and file processing classes
-    turbine         = ROSCO_turbine.Turbine(turbine_params)
-    controller      = ROSCO_controller.Controller(controller_params)
-
-    # Load turbine data from OpenFAST and rotor performance text file
-    cp_filename = os.path.join(tune_case_dir,path_params['FAST_directory'],path_params['rotor_performance_filename'])
-    turbine.load_from_fast(path_params['FAST_InputFile'], \
-        os.path.join(tune_case_dir,path_params['FAST_directory']), \
-        dev_branch=True,rot_source='txt',\
-        txt_filename=cp_filename)
-
-    # tune base controller defined by the yaml
-    controller.tune_controller(turbine)
-
-    # Apply all discon variables as case inputs
-    discon_vt = ROSCO_utilities.DISCON_dict(turbine, controller, txt_filename=cp_filename)
-    control_base_case = {}
-    for discon_input in discon_vt:
-        control_base_case[('DISCON_in',discon_input)] = {'vals': [discon_vt[discon_input]], 'group': 0}
-
-    # Set up wind case
-    case_inputs = wind_case_fcn(run_dir)
-    case_inputs.update(control_base_case)
-
-    # Specify rosco controller dylib
-    rosco_dll = '/Users/dzalkind/Tools/ROSCO/ROSCO/build/libdiscon.dylib' #'/Users/dzalkind/Tools/ROSCO_toolbox/ROSCO/build/libdiscon.dylib'
-
-    if not rosco_dll: # use WEIS ROSCO
-        run_dir1            = os.path.dirname( os.path.dirname( os.path.dirname( os.path.realpath(__file__) ) ) ) + os.sep
-        if platform.system() == 'Windows':
-            rosco_dll = os.path.join(run_dir1, 'local/lib/libdiscon.dll')
-        elif platform.system() == 'Darwin':
-            rosco_dll = os.path.join(run_dir1, 'local/lib/libdiscon.dylib')
+        # Sweep control parameter
+        if self.control_sweep_fcn:
+            self.control_sweep_opts['tuning_yaml'] = self.tuning_yaml
+            case_inputs_control = self.control_sweep_fcn(cl.find_max_group(case_inputs)+1, **self.control_sweep_opts)
+            sweep_name = self.control_sweep_fcn.__name__
+            case_inputs.update(case_inputs_control)
         else:
-            rosco_dll = os.path.join(run_dir1, 'local/lib/libdiscon.so')
+            sweep_name = 'base'
 
-    case_inputs[('ServoDyn','DLL_FileName')] = {'vals': [rosco_dll], 'group': 0}
-
-    # Sweep control parameter
-    if control_sweep_fcn:
-        case_inputs_control = control_sweep_fcn(tuning_yaml,find_max_group(case_inputs)+1)
-        sweep_name = control_sweep_fcn.__name__
-        case_inputs.update(case_inputs_control)
-    else:
-        sweep_name = 'base'
-
-    
-        
-    # Generate cases
-    case_list, case_name_list = CaseGen_General(case_inputs, dir_matrix=run_dir, namebase=turbine_name)
-    channels = set_channels()
-
-    # Management of parallelization, leave in for now
-    if MPI:
-        from wisdem.commonse.mpi_tools import map_comm_heirarchical, subprocessor_loop, subprocessor_stop
-        n_OF_runs = len(case_list)
-
-        available_cores = MPI.COMM_WORLD.Get_size()
-        n_parallel_OFruns = np.min([available_cores - 1, n_OF_runs])
-        comm_map_down, comm_map_up, color_map = map_comm_heirarchical(1, n_parallel_OFruns)
-        sys.stdout.flush()
+        # Add external user-defined case inputs
+        case_inputs.update(self.case_inputs)
+            
+        # Generate cases
+        case_list, case_name_list = CaseGen_General(case_inputs, dir_matrix=run_dir, namebase=self.base_name)
+        channels = cl.set_channels()
 
+        # Management of parallelization, leave in for now
+        if MPI:
+            from wisdem.commonse.mpi_tools import map_comm_heirarchical, subprocessor_loop, subprocessor_stop
+            n_OF_runs = len(case_list)
 
-    # Parallel file generation with MPI
-    if MPI:
-        comm = MPI.COMM_WORLD
-        rank = comm.Get_rank()
-    else:
-        rank = 0
-    if rank == 0:
+            available_cores = MPI.COMM_WORLD.Get_size()
+            n_parallel_OFruns = np.min([available_cores - 1, n_OF_runs])
+            comm_map_down, comm_map_up, color_map = map_comm_heirarchical(1, n_parallel_OFruns)
+            sys.stdout.flush()
 
-        # Run FAST cases
-        fastBatch                   = runFAST_pywrapper_batch(FAST_ver='OpenFAST',dev_branch = True)
-        
-        # Select Turbine Model
-        model_dir                   = os.path.join(os.path.dirname( os.path.dirname( os.path.realpath(__file__) ) ), '01_aeroelasticse/OpenFAST_models')
-
-        # FAST_directory (relative to Tune_Dir/)
-        fastBatch.FAST_directory    = os.path.realpath(os.path.join(tune_case_dir,path_params['FAST_directory']))
-        fastBatch.FAST_InputFile    = path_params['FAST_InputFile']        
-        fastBatch.channels          = channels
-        fastBatch.FAST_runDirectory = run_dir
-        fastBatch.case_list         = case_list
-        fastBatch.case_name_list    = case_name_list
-        fastBatch.debug_level       = 2
-        fastBatch.FAST_exe          = 'openfast'
 
+        # Parallel file generation with MPI
         if MPI:
-            fastBatch.run_mpi(comm_map_down)
+            comm = MPI.COMM_WORLD
+            rank = comm.Get_rank()
         else:
-            if n_cores == 1:
-                fastBatch.run_serial()
+            rank = 0
+        if rank == 0:
+
+            # Run FAST cases
+            fastBatch                   = runFAST_pywrapper_batch()
+            
+            # FAST_directory (relative to Tune_Dir/)
+            fastBatch.FAST_directory    = os.path.realpath(os.path.join(tune_yaml_dir,path_params['FAST_directory']))
+            fastBatch.FAST_InputFile    = path_params['FAST_InputFile']        
+            fastBatch.channels          = channels
+            fastBatch.FAST_runDirectory = run_dir
+            fastBatch.case_list         = case_list
+            fastBatch.case_name_list    = case_name_list
+            fastBatch.debug_level       = 2
+            fastBatch.FAST_exe          = 'openfast'
+
+            if MPI:
+                fastBatch.run_mpi(comm_map_down)
             else:
-                fastBatch.run_multi(cores=n_cores)
+                if self.n_cores == 1:
+                    fastBatch.run_serial()
+                else:
+                    fastBatch.run_multi(cores=self.n_cores)
 
-    if MPI:
-        sys.stdout.flush()
-        if rank in comm_map_up.keys():
-            subprocessor_loop(comm_map_up)
+        if MPI:
+            sys.stdout.flush()
+            if rank in comm_map_up.keys():
+                subprocessor_loop(comm_map_up)
+            sys.stdout.flush()
+
+        # Close signal to subprocessors
+        if rank == 0 and MPI:
+            subprocessor_stop(comm_map_down)
         sys.stdout.flush()
-
-    # Close signal to subprocessors
-    if rank == 0 and MPI:
-        subprocessor_stop(comm_map_down)
-    sys.stdout.flush()
     
 
 if __name__ == "__main__":
 
     # Simulation config
-    sim_config = 6
-    n_cores = 8
+    sim_config = 11
+    
+    r = run_FAST_ROSCO()
+
+    wind_case_opts = {}
 
     if sim_config == 1:
         # FOCAL single wind speed testing
-        tuning_yaml = '/Users/dzalkind/Tools/ROSCO/Tune_Cases/IEA15MW_FOCAL.yaml'
-        wind_case   = simp_step
-        sweep_mode  = None
-        save_dir    = '/Users/dzalkind/Projects/FOCAL/torque_274'
+        r.tuning_yaml = os.path.join(tune_case_dir,'IEA15MW.yaml')
+        r.wind_case_fcn = cl.simp_step
+        r.sweep_mode  = None
+        r.save_dir    = '/Users/dzalkind/Tools/ROSCO/outputs'
     
     elif sim_config == 6:
 
         # FOCAL rated wind speed tuning
-        tuning_yaml = '/Users/dzalkind/Tools/ROSCO/Tune_Cases/IEA15MW_FOCAL.yaml'
-        wind_case   = power_curve
-        sweep_mode  = sweep_rated_torque
-        save_dir    = '/Users/dzalkind/Projects/FOCAL/drop_torque'
-
-    else:
-        raise Exception('This simulation configuration is not supported.')
+        r.tuning_yaml   = os.path.join(tune_case_dir,'IEA15MW_FOCAL.yaml')
+        r.wind_case_fcn = power_curve
+        r.sweep_mode    = cl.sweep_rated_torque
+        r.save_dir      = '/Users/dzalkind/Projects/FOCAL/drop_torque'
 
+    elif sim_config == 7:
 
+        # FOCAL rated wind speed tuning
+        r.tuning_yaml   = os.path.join(tune_case_dir,'IEA15MW.yaml')
+        r.wind_case_fcn     = cl.steps
+        r.wind_case_opts    = {
+            'tt': [100,200], 
+            'U': [16,18],
+            'U_0': 13
+            }
+        r.sweep_mode    = None
+        r.save_dir      = '/Users/dzalkind/Tools/ROSCO/outputs'
+        r.control_sweep_fcn = cl.sweep_pitch_act
+        r.control_sweep_opts = {
+            'act_bw': np.array([0.25,0.5,1,10]) * np.pi * 2
+        }
+
+        r.n_cores = 4
+
+    elif sim_config == 8:
+
+        # RAAW IPC set up
+        r.tuning_yaml   = '/Users/dzalkind/Projects/RAAW/RAAW_OpenFAST/ROSCO/RAAW_rosco_BD.yaml'
+        r.wind_case_fcn = cl.power_curve
+        r.wind_case_opts    = {
+            'U': [16],
+            }
+        r.save_dir      = '/Users/dzalkind/Projects/RAAW/RAAW_OpenFAST/outputs/IPC_play'
+        r.control_sweep_fcn = cl.sweep_ipc_gains
+
+    elif sim_config == 9:
+
+        # RAAW FAD set up
+        r.tuning_yaml   = '/Users/dzalkind/Projects/RAAW/RAAW_OpenFAST/ROSCO/RAAW_rosco_BD.yaml'
+        r.wind_case_fcn = cl.simp_step
+        r.wind_case_opts    = {
+            'U_start': [13],
+            'U_end': [15],
+            'wind_dir': '/Users/dzalkind/Projects/RAAW/RAAW_OpenFAST/outputs/FAD_play'
+            }
+        r.save_dir      = '/Users/dzalkind/Projects/RAAW/RAAW_OpenFAST/outputs/FAD_play'
+        r.control_sweep_fcn = cl.sweep_fad_gains
+        r.n_cores = 8
+
+    elif sim_config == 10:
+
+        # RAAW FAD set up
+        r.tuning_yaml   = '/Users/dzalkind/Projects/RAAW/RAAW_OpenFAST/ROSCO/RAAW_rosco_BD.yaml'
+        r.wind_case_fcn = cl.turb_bts
+        r.wind_case_opts    = {
+            'TMax': 720,
+            'wind_filenames': ['/Users/dzalkind/Tools/WEIS-2/outputs/02_RAAW_IPC/wind/RAAW_NTM_U12.000000_Seed1693606511.0.bts']
+            }
+        r.save_dir      = '/Users/dzalkind/Projects/RAAW/RAAW_OpenFAST/outputs/PS_BD'
+        r.control_sweep_fcn = cl.sweep_ps_percent
+        r.n_cores = 8
+
+    elif sim_config == 11:
+
+        # RAAW FAD set up
+        r.tuning_yaml   = '/Users/dzalkind/Projects/RAAW/RAAW_OpenFAST/ROSCO/RAAW_rosco_BD.yaml'
+        r.wind_case_fcn = cl.user_hh
+        r.wind_case_opts    = {
+            'TMax': 1000.,
+            'wind_filenames': ['/Users/dzalkind/Projects/RAAW/RAAW_OpenFAST/Performance/GE_P3_WindStep.asc']
+            }
+        r.save_dir      = '/Users/dzalkind/Projects/RAAW/RAAW_OpenFAST/outputs/PS_steps'
+        r.control_sweep_fcn = cl.sweep_ps_percent
+        r.n_cores = 4
 
+    else:
+        raise Exception('This simulation configuration is not supported.')
 
-    run_FAST(tuning_yaml,wind_case,sweep_mode,save_dir,n_cores=n_cores)
 
-    # # Options: simp, pwr_curve
-    # test_type   = 'pwr_curve'
+    r.run_FAST()
 
-    # save_dir_list    = [os.path.join(res_dir,tm,os.path.basename(dl).split('.')[0],test_type) \
-    #     for tm, dl in zip(turbine_mods,discon_list)]
 
-    # for tm, co, sd in zip(turbine_mods,discon_list,save_dir_list):
-    #     run_Simp(tm,co,sd,n_cores=8)
     
     
     
diff --git a/ROSCO/ROSCO_toolbox/ofTools/fast_io/FAST_reader.py b/ROSCO/ROSCO_toolbox/ofTools/fast_io/FAST_reader.py
index 0a462a492..f4fb2f597 100644
--- a/ROSCO/ROSCO_toolbox/ofTools/fast_io/FAST_reader.py
+++ b/ROSCO/ROSCO_toolbox/ofTools/fast_io/FAST_reader.py
@@ -1630,7 +1630,15 @@ def read_HydroDyn(self):
 
         # PLATFORM ADDITIONAL STIFFNESS AND DAMPING
         f.readline()
-        self.fst_vt['HydroDyn']['AddF0']         = np.array([[float(idx) for idx in f.readline().strip().split()[0]] for i in range(6)])
+        # Get number of F0 terms [If NBodyMod=1, one size 6*NBody x 1 vector; if NBodyMod>1, NBody size 6 x 1 vectors]
+        NBody = self.fst_vt['HydroDyn']['NBody']
+        if self.fst_vt['HydroDyn']['NBodyMod'] == 1:
+            self.fst_vt['HydroDyn']['AddF0']         = [float(f.readline().strip().split()[0]) for i in range(6*NBody)]
+        elif self.fst_vt['HydroDyn']['NBodyMod'] > 1:
+            self.fst_vt['HydroDyn']['AddF0']         = [[float(idx) for idx in f.readline().strip().split()[:NBody]] for i in range(6)]
+        else:
+            raise Exception("Invalid value for fst_vt['HydroDyn']['NBodyMod']")
+
         self.fst_vt['HydroDyn']['AddCLin']       = np.array([[float(idx) for idx in f.readline().strip().split()[:6]] for i in range(6)])
         self.fst_vt['HydroDyn']['AddBLin']       = np.array([[float(idx) for idx in f.readline().strip().split()[:6]] for i in range(6)])
         self.fst_vt['HydroDyn']['AddBQuad']      = np.array([[float(idx) for idx in f.readline().strip().split()[:6]] for i in range(6)])
@@ -1920,7 +1928,7 @@ def read_SubDyn(self):
         self.fst_vt['SubDyn']['Nmodes']    = int_read(f.readline().split()[0])
         self.fst_vt['SubDyn']['JDampings'] = int_read(f.readline().split()[0])
         self.fst_vt['SubDyn']['GuyanDampMod'] = int_read(f.readline().split()[0])
-        self.fst_vt['SubDyn']['RayleighDamp'] = [float(m.replace(',','')) for m in f.readline().split()[:2]]
+        self.fst_vt['SubDyn']['RayleighDamp'] = [float(m) for m in f.readline().strip().replace(',','').split()[:2]]
         self.fst_vt['SubDyn']['GuyanDampSize'] = int_read(f.readline().split()[0])
         self.fst_vt['SubDyn']['GuyanDamp'] = np.array([[float(idx) for idx in f.readline().strip().split()[:6]] for i in range(self.fst_vt['SubDyn']['GuyanDampSize'])])
         f.readline()
diff --git a/ROSCO/ROSCO_toolbox/ofTools/fast_io/FAST_wrapper.py b/ROSCO/ROSCO_toolbox/ofTools/fast_io/FAST_wrapper.py
index 3f963829e..66e73ff69 100644
--- a/ROSCO/ROSCO_toolbox/ofTools/fast_io/FAST_wrapper.py
+++ b/ROSCO/ROSCO_toolbox/ofTools/fast_io/FAST_wrapper.py
@@ -1,17 +1,16 @@
 import os
+# from re import sub
 import subprocess
 import platform
 import time
 
-class FastWrapper(object):
+class FAST_wrapper(object):
 
     def __init__(self, **kwargs):
-        self.FAST_ver = 'OPENFAST' #(FAST7, FAST8, OPENFAST)
 
         self.FAST_exe = None   # Path to executable
         self.FAST_InputFile = None   # FAST input file (ext=.fst)
         self.FAST_directory = None   # Path to fst directory files
-        self.debug_level = 0 #(0:quiet, 1:output task description, 2:full FAST stdout)
 
         # Optional population class attributes from key word arguments
         for k, w in kwargs.items():
@@ -20,7 +19,7 @@ def __init__(self, **kwargs):
             except:
                 pass
 
-        super(FastWrapper, self).__init__()
+        super(FAST_wrapper, self).__init__()
 
     def execute(self):
 
@@ -39,46 +38,30 @@ def execute(self):
         olddir = os.getcwd()
         os.chdir(self.FAST_directory)
 
-        if self.debug_level > 0:
-            print ("EXECUTING", self.FAST_ver)
-            print ("Executable: \t", self.FAST_exe)
-            print ("Run directory: \t", self.FAST_directory)
-            print ("Input file: \t", self.FAST_InputFile)
-            print ("Exec string: \t", exec_str)
-
+        run_idx = 0
         start = time.time()
-        if self.debug_level > 1:
-            subprocess.call(exec_str)
-        else:
-            FNULL = open(os.devnull, 'w')
-            subprocess.call(exec_str, stdout=FNULL, stderr=subprocess.STDOUT)
+        while run_idx < 2:
+            try:
+                subprocess.run(exec_str, check=True)
+                failed = False
+                run_idx = 2
+            except subprocess.CalledProcessError as e:
+                if e.returncode > 1 and run_idx < 1: # This probably failed because of a temporary library access issue, retry
+                    print('Error loading OpenFAST libraries, retrying.')
+                    failed = False
+                    run_idx += 1
+                else: # Bad OpenFAST inputs, or we've already retried
+                    print('OpenFAST Failed: {}'.format(e))
+                    failed = True
+                    run_idx = 2
+            except:
+                print('OpenFAST Failed: {}'.format(e))
+                failed = True
+                run_idx = 2
+                
         runtime = time.time() - start
         print('Runtime: \t{} = {:<6.2f}s'.format(self.FAST_InputFile, runtime))
 
         os.chdir(olddir)
 
-if __name__=="__main__":
-
-
-    fast = FastWrapper(debug_level=2)
-
-    fast.FAST_ver = 'OPENFAST'
-
-    if fast.FAST_ver == 'FAST7':
-        fast.FAST_exe = 'C:/Users/egaertne/WT_Codes/FAST_v7.02.00d-bjj/FAST.exe'   # Path to executable
-        fast.FAST_InputFile = 'test.fst'   # FAST input file (ext=.fst)
-        fast.FAST_directory = 'C:/Users/egaertne/WISDEM/AeroelasticSE/src/AeroelasticSE/FAST_mdao/temp/FAST7'   # Path to fst directory files
-
-    elif fast.FAST_ver == 'FAST8':
-        fast.FAST_exe = 'C:/Users/egaertne/WT_Codes/FAST_v8.16.00a-bjj/bin/FAST_Win32.exe'   # Path to executable
-        fast.FAST_InputFile = 'test.fst'   # FAST input file (ext=.fst)
-        fast.FAST_directory = 'C:/Users/egaertne/WISDEM/AeroelasticSE/src/AeroelasticSE/FAST_mdao/temp/FAST8'   # Path to fst directory files
-
-    elif fast.FAST_ver == 'OPENFAST':
-        fast.FAST_exe = 'C:/Users/egaertne/WT_Codes/openfast-dev/build/glue-codes/openfast/openfast.exe'   # Path to executable
-        # fast.FAST_InputFile = 'test.fst'   # FAST input file (ext=.fst)
-        # fast.FAST_directory = 'C:/Users/egaertne/WISDEM/AeroelasticSE/src/AeroelasticSE/FAST_mdao/temp/OpenFAST'   # Path to fst directory files
-        fast.FAST_InputFile = 'RotorSE_FAST_5MW_0.fst'   # FAST input file (ext=.fst)
-        fast.FAST_directory = "C:/Users/egaertne/WISDEM/RotorSE_yaml/RotorSE/src/rotorse/temp/RotorSE_FAST_5MW"   # Path to fst directory files
-
-    fast.execute()
+        return failed
diff --git a/ROSCO/ROSCO_toolbox/ofTools/fast_io/FAST_writer.py b/ROSCO/ROSCO_toolbox/ofTools/fast_io/FAST_writer.py
index fe93afbd4..c3f45edf1 100644
--- a/ROSCO/ROSCO_toolbox/ofTools/fast_io/FAST_writer.py
+++ b/ROSCO/ROSCO_toolbox/ofTools/fast_io/FAST_writer.py
@@ -875,7 +875,7 @@ def write_AeroDyn15(self):
         self.write_AeroDyn15Polar()
         
         # Generate AeroDyn v15 airfoil coordinates
-        if self.fst_vt['AeroDyn15']['af_data'][1][0]['NumCoords'] != 0:
+        if self.fst_vt['AeroDyn15']['af_data'][1][0]['NumCoords'] != '0':
             self.write_AeroDyn15Coord()
         
         if self.fst_vt['AeroDyn15']['WakeMod'] == 3:
@@ -1465,7 +1465,10 @@ def write_HydroDyn(self):
         f.write('{:<22} {:<11} {:}'.format(self.fst_vt['HydroDyn']['SumQTF'], 'SumQTF', "- Full summation -frequency 2nd-order forces computed with full QTF          {0: None; [10, 11, or 12]: WAMIT file to use}\n"))
         f.write('---------------------- PLATFORM ADDITIONAL STIFFNESS AND DAMPING  --------------\n')
         for j in range(6):
-            ln = '{:14}   '.format(self.fst_vt['HydroDyn']['AddF0'][j][0])
+            if type(self.fst_vt['HydroDyn']['AddF0'][j]) == float:
+                ln = '{:14}   '.format(self.fst_vt['HydroDyn']['AddF0'][j])  
+            elif type(self.fst_vt['HydroDyn']['AddF0'][j]) == list:
+                ln = '{:14}   '.format(' '.join([f'{val}' for val in self.fst_vt['HydroDyn']['AddF0'][j]]))
             if j == 0:
                 ln = ln + 'AddF0    - Additional preload (N, N-m) [If NBodyMod=1, one size 6*NBody x 1 vector; if NBodyMod>1, NBody size 6 x 1 vectors]\n'
             else:
diff --git a/ROSCO/ROSCO_toolbox/ofTools/fast_io/update_discons.py b/ROSCO/ROSCO_toolbox/ofTools/fast_io/update_discons.py
new file mode 100644
index 000000000..901a953ae
--- /dev/null
+++ b/ROSCO/ROSCO_toolbox/ofTools/fast_io/update_discons.py
@@ -0,0 +1,46 @@
+import os
+# ROSCO toolbox modules 
+from ROSCO_toolbox import controller as ROSCO_controller
+from ROSCO_toolbox import turbine as ROSCO_turbine
+from ROSCO_toolbox.utilities import write_DISCON
+from ROSCO_toolbox.inputs.validation import load_rosco_yaml
+
+def update_discons(tune_to_test_map):
+    # Update a set of discon files
+    # Input is a dict: each key is the tuning yaml and each value is the discon or list of discons
+    for tuning_yaml in tune_to_test_map:
+
+        # Load yaml file 
+        inps = load_rosco_yaml(tuning_yaml)
+        path_params         = inps['path_params']
+        turbine_params      = inps['turbine_params']
+        controller_params   = inps['controller_params']
+
+        # Instantiate turbine, controller, and file processing classes
+        turbine         = ROSCO_turbine.Turbine(turbine_params)
+        controller      = ROSCO_controller.Controller(controller_params)
+
+        # Load turbine data from OpenFAST and rotor performance text file
+        yaml_dir = os.path.dirname(tuning_yaml)  # files relative to tuning yaml
+        turbine.load_from_fast(
+            path_params['FAST_InputFile'],
+            os.path.join(yaml_dir,path_params['FAST_directory']),
+            dev_branch=True,
+            rot_source='txt',
+            txt_filename=os.path.join(yaml_dir,path_params['FAST_directory'],path_params['rotor_performance_filename'])
+            )
+
+        # Tune controller 
+        controller.tune_controller(turbine)
+
+        # Write parameter input file
+        if not isinstance(tune_to_test_map[tuning_yaml],list):
+            tune_to_test_map[tuning_yaml] = [tune_to_test_map[tuning_yaml]]
+
+        discon_in_files = [f for f in tune_to_test_map[tuning_yaml]]
+        for discon in discon_in_files: 
+            write_DISCON(
+                turbine,controller,
+                param_file=discon, 
+                txt_filename=path_params['rotor_performance_filename']
+                )
diff --git a/ROSCO/ROSCO_toolbox/sim.py b/ROSCO/ROSCO_toolbox/sim.py
index 78ce4496d..54e3df62d 100644
--- a/ROSCO/ROSCO_toolbox/sim.py
+++ b/ROSCO/ROSCO_toolbox/sim.py
@@ -19,6 +19,7 @@
 rad2deg = np.rad2deg(1)
 rpm2RadSec = 2.0*(np.pi)/60.0
 
+
 class Sim():
     """
     Simple controller simulation interface for a wind turbine.
@@ -48,18 +49,23 @@ def __init__(self, turbine, controller_int):
         self.turbine = turbine
         self.controller_int = controller_int
 
-
-    def sim_ws_series(self,t_array,ws_array,rotor_rpm_init=10,init_pitch=0.0, make_plots=True):
+    def sim_ws_series(self, t_array, ws_array, rotor_rpm_init=10, init_pitch=0.0,
+                      wd_array=None, yaw_init=0.0,
+                      make_plots=True):
         '''
         Simulate simplified turbine model using a complied controller (.dll or similar).
             - currently a 1DOF rotor model
 
         Parameters:
         -----------
-            t_array: float
+            t_array: list-like
                      Array of time steps, (s)
-            ws_array: float
-                      Array of wind speeds, (s)
+            ws_array: list-like
+                      Array of wind speeds, (m/s)
+            wd_array: list-like
+                      Array of wind directions, (rad)
+            wd_array: float
+                      Initial "north", (or constant) yaw angle, (rad)
             rotor_rpm_init: float, optional
                             initial rotor speed, (rpm)
             init_pitch: float, optional
@@ -68,44 +74,240 @@ def sim_ws_series(self,t_array,ws_array,rotor_rpm_init=10,init_pitch=0.0, make_p
                         True: generate plots, False: don't. 
         '''
 
-        print('Running simulation for %s wind turbine.' % self.turbine.TurbineName)
+        # Store turbine data for convenience
+        dt = t_array[1] - t_array[0]
+        R = self.turbine.rotor_radius
+        GBRatio = self.turbine.Ng
+
+        # Declare output arrays
+        bld_pitch = np.ones_like(t_array) * init_pitch * deg2rad
+        rot_speed = np.ones_like(t_array) * rotor_rpm_init * \
+            rpm2RadSec  # represent rot speed in rad / s
+        gen_speed = np.ones_like(t_array) * rotor_rpm_init * GBRatio * \
+            rpm2RadSec  # represent gen speed in rad/s
+        aero_torque = np.ones_like(t_array) * 1000.0
+        gen_torque = np.ones_like(t_array)
+        gen_power = np.ones_like(t_array) * 0.0
+        nac_yaw = np.ones_like(t_array) * yaw_init
+        nac_yawerr = np.ones_like(t_array) * 0.0
+        nac_yawrate = np.ones_like(t_array) * 0.0
+
+        # check for wind direction array
+        if isinstance(wd_array, (list, np.ndarray)):
+            if len(ws_array) != len(wd_array):
+                raise ValueError('ws_array and wd_array must be the same length')
+        else:
+            wd_array = np.ones_like(ws_array) * 0.0
+
+        # Loop through time
+        for i, t in enumerate(t_array):
+            if i == 0:
+                continue  # Skip the first run
+            ws = ws_array[i]
+            wd = wd_array[i]
+
+            # Load current Cq data
+            tsr = rot_speed[i-1] * self.turbine.rotor_radius / ws
+            cq = self.turbine.Cq.interp_surface(bld_pitch[i-1], tsr)
+            cp = self.turbine.Cp.interp_surface(bld_pitch[i-1], tsr)
+            # Update the turbine state
+            #       -- 1DOF model: rotor speed and generator speed (scaled by Ng)
+            aero_torque[i] = 0.5 * self.turbine.rho * (np.pi * R**3) * (cp/tsr) * ws**2
+            rot_speed[i] = rot_speed[i-1] + (dt/self.turbine.J)*(aero_torque[i]
+                                                                 * self.turbine.GenEff/100 - self.turbine.Ng * gen_torque[i-1])
+            gen_speed[i] = rot_speed[i] * self.turbine.Ng
+            #       -- Simple nacelle model
+            nac_yawerr[i] = wd - nac_yaw[i-1]
+
+            # populate turbine state dictionary
+            turbine_state = {}
+            if i < len(t_array):
+                turbine_state['iStatus'] = 1
+            else:
+                turbine_state['iStatus'] = -1
+            turbine_state['t'] = t
+            turbine_state['dt'] = dt
+            turbine_state['ws'] = ws
+            turbine_state['bld_pitch'] = bld_pitch[i-1]
+            turbine_state['gen_torque'] = gen_torque[i-1]
+            turbine_state['gen_speed'] = gen_speed[i]
+            turbine_state['gen_eff'] = self.turbine.GenEff/100
+            turbine_state['rot_speed'] = rot_speed[i]
+            turbine_state['Yaw_fromNorth'] = nac_yaw[i]
+            turbine_state['Y_MeasErr'] = nac_yawerr[i-1]
+
+            # Define outputs
+            gen_torque[i], bld_pitch[i], nac_yawrate[i] = self.controller_int.call_controller(turbine_state)
+
+            # Calculate the power
+            gen_power[i] = gen_speed[i] * gen_torque[i]
+
+            # Calculate the nacelle position
+            nac_yaw[i] = nac_yaw[i-1] + nac_yawrate[i] * dt
 
-        # Store turbine data for conveniente
+        self.controller_int.kill_discon()
+
+        # Save these values
+        self.bld_pitch = bld_pitch
+        self.rot_speed = rot_speed
+        self.gen_speed = gen_speed
+        self.aero_torque = aero_torque
+        self.gen_torque = gen_torque
+        self.gen_power = gen_power
+        self.t_array = t_array
+        self.ws_array = ws_array
+        self.wd_array = wd_array
+        self.nac_yaw = nac_yaw
+
+        if make_plots:
+            # if sum(nac_yaw) > 0:
+            if True:
+                fig, axarr = plt.subplots(5, 1, sharex=True, figsize=(6, 10))
+
+                ax = axarr[0]
+                ax.plot(self.t_array, self.ws_array)
+                ax.set_ylabel('Wind Speed (m/s)')
+                ax.grid()
+                ax = axarr[1]
+                ax.plot(self.t_array, self.wd_array * 180/np.pi, label='WindDirection')
+                ax.plot(self.t_array, self.nac_yaw * 180/np.pi, label='NacelleAngle')
+                ax.legend(loc='best')
+                ax.set_ylabel('Angle(deg)')
+                ax.set_xlabel('Time (s)')
+                ax.grid()
+                ax = axarr[2]
+                ax.plot(self.t_array, self.rot_speed)
+                ax.set_ylabel('Rot Speed (rad/s)')
+                ax.grid()
+                ax = axarr[3]
+                ax.plot(self.t_array, self.gen_power/1000)
+                ax.set_ylabel('Gen Power (W)')
+                ax.grid()
+                ax = axarr[4]
+                ax.plot(self.t_array, self.bld_pitch*rad2deg)
+                ax.set_ylabel('Bld Pitch (deg)')
+                ax.set_xlabel('Time (s)')
+                ax.grid()
+
+            else:
+                fig, axarr = plt.subplots(4, 1, sharex=True, figsize=(6, 10))
+
+                ax = axarr[0]
+                ax.plot(self.t_array, self.ws_array)
+                ax.set_ylabel('Wind Speed (m/s)')
+                ax.grid()
+                ax = axarr[1]
+                ax.plot(self.t_array, self.rot_speed)
+                ax.set_ylabel('Rot Speed (rad/s)')
+                ax.grid()
+                ax = axarr[2]
+                ax.plot(self.t_array, self.gen_torque)
+                ax.set_ylabel('Gen Torque (N)')
+                ax.grid()
+                ax = axarr[3]
+                ax.plot(self.t_array, self.bld_pitch*rad2deg)
+                ax.set_ylabel('Bld Pitch (deg)')
+                ax.set_xlabel('Time (s)')
+                ax.grid()
+
+    def sim_ws_wd_series(self, t_array, ws_array, wd_array,
+                         rotor_rpm_init=10,
+                         init_pitch=0.0,
+                         init_yaw=None,
+                         make_plots=True):
+        '''
+        Simulate simplified turbine model using a complied controller (.dll or similar).
+            - currently a 1DOF rotor model
+
+        Parameters:
+        -----------
+            t_array: float
+                 Array of time steps, (s)
+            ws_array: float
+                 Array of wind speeds, (s)
+            wd_array: float
+                 Array of wind directions, (deg)
+            rotor_rpm_init: float, optional
+                 Initial rotor speed, (rpm)
+            init_pitch: float, optional
+                 Initial blade pitch angle, (deg)
+            init_yaw: float, optional
+                 Initial yaw angle, if None then start with no misalignment,
+                 i.e., the yaw angle is set to the initial wind direction (deg)
+            make_plots: bool, optional
+                 True: generate plots, False: don't. 
+        '''
+
+        # Store turbine data for convenience
         dt = t_array[1] - t_array[0]
         R = self.turbine.rotor_radius
         GBRatio = self.turbine.Ng
 
         # Declare output arrays
-        bld_pitch = np.ones_like(t_array) * init_pitch 
-        rot_speed = np.ones_like(t_array) * rotor_rpm_init * rpm2RadSec # represent rot speed in rad / s
-        gen_speed = np.ones_like(t_array) * rotor_rpm_init * GBRatio * rpm2RadSec # represent gen speed in rad/s
+        bld_pitch = np.ones_like(t_array) * init_pitch
+        rot_speed = np.ones_like(t_array) * rotor_rpm_init * \
+            rpm2RadSec  # represent rot speed in rad / s
+        gen_speed = np.ones_like(t_array) * rotor_rpm_init * GBRatio * \
+            rpm2RadSec  # represent gen speed in rad/s
         aero_torque = np.ones_like(t_array) * 1000.0
-        gen_torque = np.ones_like(t_array) # * trq_cont(turbine_dict, gen_speed[0])
+        gen_torque = np.ones_like(t_array)  # * trq_cont(turbine_dict, gen_speed[0])
         gen_power = np.ones_like(t_array) * 0.0
+        nac_yawerr = np.ones_like(t_array) * 0.0
+        if init_yaw is None:
+            init_yaw = wd_array[0]
+        else:
+            nac_yawerr[0] = init_yaw - wd_array[0]
+        nac_yaw = np.ones_like(t_array) * init_yaw
+        nac_yawrate = np.ones_like(t_array) * 0.0
 
-        
         # Loop through time
         for i, t in enumerate(t_array):
             if i == 0:
-                continue # Skip the first run
+                continue  # Skip the first run
             ws = ws_array[i]
+            wd = wd_array[i]
+            nac_yawerr[i] = (wd - nac_yaw[i-1])*deg2rad
 
             # Load current Cq data
             tsr = rot_speed[i-1] * self.turbine.rotor_radius / ws
-            cq = self.turbine.Cq.interp_surface([bld_pitch[i-1]],tsr)
-        
+            cq = self.turbine.Cq.interp_surface([bld_pitch[i-1]], tsr)
+
             # Update the turbine state
             #       -- 1DOF model: rotor speed and generator speed (scaled by Ng)
             aero_torque[i] = 0.5 * self.turbine.rho * (np.pi * R**2) * cq * R * ws**2
-            rot_speed[i] = rot_speed[i-1] + (dt/self.turbine.J)*(aero_torque[i] * self.turbine.GenEff/100 - self.turbine.Ng * gen_torque[i-1])
+            rot_speed[i] = rot_speed[i-1] + (dt/self.turbine.J)*(aero_torque[i]
+                                                                 * self.turbine.GenEff/100 - self.turbine.Ng * gen_torque[i-1])
             gen_speed[i] = rot_speed[i] * self.turbine.Ng
 
+            # populate turbine state dictionary
+            turbine_state = {}
+            # populate turbine state dictionary
+            turbine_state = {}
+            if i < len(t_array)-1:
+                turbine_state['iStatus'] = 1
+            else:
+                turbine_state['iStatus'] = -1
+            turbine_state['t'] = t
+            turbine_state['dt'] = dt
+            turbine_state['ws'] = ws
+            turbine_state['bld_pitch'] = bld_pitch[i-1]
+            turbine_state['gen_torque'] = gen_torque[i-1]
+            turbine_state['gen_speed'] = gen_speed[i]
+            turbine_state['gen_eff'] = self.turbine.GenEff/100
+            turbine_state['rot_speed'] = rot_speed[i]
+            turbine_state['Yaw_fromNorth'] = nac_yaw[i]
+            turbine_state['Y_MeasErr'] = nac_yawerr[i-1]
+            
             # Call the controller
-            gen_torque[i], bld_pitch[i] = self.controller_int.call_controller(t,dt,bld_pitch[i-1],gen_torque[i-1],gen_speed[i],self.turbine.GenEff/100,rot_speed[i],ws)
+
+            gen_torque[i], bld_pitch[i], nac_yawrate[i] = self.controller_int.call_controller(turbine_state)
 
             # Calculate the power
             gen_power[i] = gen_speed[i] * gen_torque[i]
 
+            # Update the nacelle position
+            nac_yaw[i] = nac_yaw[i-1] + nac_yawrate[i]*rad2deg*dt
+
         # Save these values
         self.bld_pitch = bld_pitch
         self.rot_speed = rot_speed
@@ -115,29 +317,39 @@ def sim_ws_series(self,t_array,ws_array,rotor_rpm_init=10,init_pitch=0.0, make_p
         self.gen_power = gen_power
         self.t_array = t_array
         self.ws_array = ws_array
-
-        # Close shared library when finished
-        self.controller_int.kill_discon()
+        self.wd_array = wd_array
+        self.nac_yaw = nac_yaw
+        self.nac_yawrate = nac_yawrate
 
         if make_plots:
-            fig, axarr = plt.subplots(4,1,sharex=True,figsize=(6,10))
+            fig, axarr = plt.subplots(nrows=6, sharex=True, figsize=(8, 14))
 
             ax = axarr[0]
-            ax.plot(self.t_array,self.ws_array)
+            ax.plot(self.t_array, self.ws_array)
             ax.set_ylabel('Wind Speed (m/s)')
-            ax.grid()
+
             ax = axarr[1]
-            ax.plot(self.t_array,self.rot_speed)
-            ax.set_ylabel('Rot Speed (rad/s)')
-            ax.grid()
+            ax.plot(self.t_array, self.wd_array, label='wind direction')
+            ax.plot(self.t_array, self.nac_yaw, label='yaw position')
+            ax.set_ylabel('Wind Direction (deg)')
+            ax.legend(loc='best')
+
             ax = axarr[2]
-            ax.plot(self.t_array,self.gen_torque)
-            ax.set_ylabel('Gen Torque (N)')
-            ax.grid()
+            ax.plot(self.t_array, self.nac_yaw*rad2deg)
+            ax.set_ylabel('Nacelle yaw error (deg)')
+
             ax = axarr[3]
-            ax.plot(self.t_array,self.bld_pitch*rad2deg)
+            ax.plot(self.t_array, self.rot_speed)
+            ax.set_ylabel('Rot Speed (rad/s)')
+
+            ax = axarr[4]
+            ax.plot(self.t_array, self.gen_torque)
+            ax.set_ylabel('Gen Torque (N)')
+
+            ax = axarr[5]
+            ax.plot(self.t_array, self.bld_pitch*rad2deg)
             ax.set_ylabel('Bld Pitch (deg)')
-            ax.set_xlabel('Time (s)')
-            ax.grid()
 
-        
+            ax.set_xlabel('Time (s)')
+            for ax in axarr:
+                ax.grid()
diff --git a/ROSCO/ROSCO_toolbox/turbine.py b/ROSCO/ROSCO_toolbox/turbine.py
index 09082e731..e97d72036 100644
--- a/ROSCO/ROSCO_toolbox/turbine.py
+++ b/ROSCO/ROSCO_toolbox/turbine.py
@@ -151,11 +151,13 @@ def load_from_fast(self, FAST_InputFile,FAST_directory, FAST_ver='OpenFAST',dev_
             txt_filename: str, optional
                           filename for *.txt, only used if rot_source='txt'
         """
+        # Use weis if it exists
         if use_weis:
             from weis.aeroelasticse.FAST_reader import InputReader_OpenFAST
         else:
             from ROSCO_toolbox.ofTools.fast_io.FAST_reader import InputReader_OpenFAST
 
+        # Load OpenFAST model using the FAST_reader
         print('Loading FAST model: %s ' % FAST_InputFile)
         self.TurbineName = FAST_InputFile.strip('.fst')
         fast = self.fast = InputReader_OpenFAST()
@@ -163,6 +165,7 @@ def load_from_fast(self, FAST_InputFile,FAST_directory, FAST_ver='OpenFAST',dev_
         fast.FAST_directory = FAST_directory
         fast.execute()
 
+        # Use Performance tables if defined, otherwise use defaults
         if txt_filename:
             self.rotor_performance_filename = txt_filename
         else:
@@ -175,7 +178,7 @@ def load_from_fast(self, FAST_InputFile,FAST_directory, FAST_ver='OpenFAST',dev_
         self.hubHt              = fast.fst_vt['ElastoDyn']['TowerHt'] + fast.fst_vt['ElastoDyn']['Twr2Shft']
         self.NumBl              = fast.fst_vt['ElastoDyn']['NumBl']
         self.TowerHt            = fast.fst_vt['ElastoDyn']['TowerHt']
-        self.shearExp           = 0.2  #HARD CODED FOR NOW
+        self.shearExp           = 0.2  #NOTE: HARD CODED 
         if 'default' in str(fast.fst_vt['AeroDyn15']['AirDens']):
             fast.fst_vt['AeroDyn15']['AirDens'] = 1.225
         self.rho                = fast.fst_vt['AeroDyn15']['AirDens']
@@ -195,9 +198,7 @@ def load_from_fast(self, FAST_InputFile,FAST_directory, FAST_ver='OpenFAST',dev_
         self.yaw = 0.0
         self.J = self.rotor_inertia + self.generator_inertia * self.Ng**2
         self.rated_torque = self.rated_power/(self.GenEff/100*self.rated_rotor_speed*self.Ng)
-        self.max_torque = self.rated_torque * 1.1
         self.rotor_radius = self.TipRad
-        # self.omega_dt = np.sqrt(self.DTTorSpr/self.J)
 
         # Load blade information
         self.load_blade_info()
@@ -268,18 +269,14 @@ def load_from_ccblade(self):
         pitch_flat = pitch_mesh.flatten()
         omega_mesh, _ = np.meshgrid(omega_array, pitch_initial)
         omega_flat = omega_mesh.flatten()
-        # tsr_flat = (omega_flat * rpm2RadSec * self.rotor_radius)  / ws_flat
 
 
         # Get values from cc-blade
         print('Running CCBlade aerodynamic analysis, this may take a minute...')
-        try: # wisde/master as of Nov 9, 2020
-            _, _, _, _, CP, CT, CQ, CM = self.cc_rotor.evaluate(ws_flat, omega_flat, pitch_flat, coefficients=True)
-        except(ValueError): # wisdem/dev as of Nov 9, 2020
-            outputs, derivs = self.cc_rotor.evaluate(ws_flat, omega_flat, pitch_flat, coefficients=True)
-            CP = outputs['CP']
-            CT = outputs['CT']
-            CQ = outputs['CQ']
+        outputs, derivs = self.cc_rotor.evaluate(ws_flat, omega_flat, pitch_flat, coefficients=True)
+        CP = outputs['CP']
+        CT = outputs['CT']
+        CQ = outputs['CQ']
         print('CCBlade aerodynamic analysis run successfully.')
 
         # Reshape Cp, Ct and Cq
@@ -322,8 +319,7 @@ def generate_rotperf_fast(self, openfast_path, FAST_runDirectory=None, run_BeamD
             from ROSCO_toolbox.ofTools.case_gen import runFAST_pywrapper, CaseGen_General
             from ROSCO_toolbox.ofTools.util import FileTools
         # Load pCrunch tools
-        from pCrunch import pdTools, Processing
-
+        from pCrunch import Processing
 
         # setup values for surface
         v0 = self.v_rated + 2
@@ -392,7 +388,7 @@ def generate_rotperf_fast(self, openfast_path, FAST_runDirectory=None, run_BeamD
 
 
         # FAST details
-        fastBatch = runFAST_pywrapper.runFAST_pywrapper_batch(FAST_ver='OpenFAST', dev_branch=True)
+        fastBatch = runFAST_pywrapper.runFAST_pywrapper_batch()
         fastBatch.FAST_exe = openfast_path  # Path to executable
         fastBatch.FAST_InputFile = self.fast.FAST_InputFile
         fastBatch.FAST_directory = self.fast.FAST_directory
@@ -596,14 +592,15 @@ def __init__(self,performance_table, pitch_initial_rad, TSR_initial):
         if len(self.max_ind[1]) > 1:
             print('ROSCO_toolbox Warning: repeated maximum values in a performance table and the last one @ pitch = {} rad. was taken...'.format(self.pitch_opt[-1]))
 
-        TSR_ind = np.arange(0,len(TSR_initial))
-        TSR_fine_ind = np.linspace(TSR_initial[0],TSR_initial[-1],int(TSR_initial[-1] - TSR_initial[0])*100)
-        f_TSR = interpolate.interp1d(TSR_initial,TSR_initial,bounds_error='False',kind='quadratic')    # interpolate function for Cp(tsr) values
-        TSR_fine = f_TSR(TSR_fine_ind)
-        f_performance = interpolate.interp1d(TSR_initial,performance_beta_max,bounds_error='False',kind='quadratic')    # interpolate function for Cp(tsr) values
-        performance_fine = f_performance(TSR_fine_ind)
-        performance_max_ind = np.where(performance_fine == np.max(performance_fine))
-        self.TSR_opt = float(TSR_fine[performance_max_ind[0]])
+        # Find TSR that maximizes Cx at fine pitch
+        # - TSR to satisfy: max( Cx(TSR, \beta_fine) ) = TSR_opt
+        TSR_fine_ind = np.linspace(TSR_initial[0],TSR_initial[-1],int(TSR_initial[-1] - TSR_initial[0])*100) # Range of TSRs to interpolate accross
+        f_TSR = interpolate.interp1d(TSR_initial,TSR_initial,bounds_error='False',kind='quadratic')          # interpolate function for Cp(tsr) values
+        TSR_fine = f_TSR(TSR_fine_ind) # TSRs at fine pitch
+        f_performance = interpolate.interp1d(TSR_initial,performance_beta_max,bounds_error='False',kind='quadratic')    # interpolate function for Cx(tsr) values
+        performance_fine = f_performance(TSR_fine_ind) # Cx values at fine pitch
+        performance_max_ind = np.where(performance_fine == np.max(performance_fine)) # Find max performance at fine pitch
+        self.TSR_opt = float(TSR_fine[performance_max_ind[0]])  # TSR to maximize Cx at fine pitch
 
     def interp_surface(self,pitch,TSR):
         '''
@@ -660,10 +657,12 @@ def plot_performance(self):
         max_beta_id = self.pitch_initial_rad[max_ind[1]]
         max_tsr_id = self.TSR_initial[max_ind[0]]
 
-        P = plt.contourf(self.pitch_initial_rad * rad2deg, self.TSR_initial, self.performance_table, 
-                        levels=20)
+        cbarticks = np.linspace(0.0,self.performance_table.max(),20)
+
+        P = plt.contourf(self.pitch_initial_rad * rad2deg, self.TSR_initial, self.performance_table, cbarticks)
+                        # levels=20,vmin=0)
         plt.colorbar(format='%1.3f')
-        plt.title('Power Coefficient', fontsize=14, fontweight='bold')
+        # plt.title('Power Coefficient', fontsize=14, fontweight='bold')
         plt.xlabel('Pitch Angle [deg]', fontsize=14, fontweight='bold')
         plt.ylabel('TSR [-]', fontsize=14, fontweight='bold')
         plt.scatter(max_beta_id * rad2deg, max_tsr_id, color='red')
diff --git a/ROSCO/ROSCO_toolbox/utilities.py b/ROSCO/ROSCO_toolbox/utilities.py
index 4d2891472..b68dd3a90 100644
--- a/ROSCO/ROSCO_toolbox/utilities.py
+++ b/ROSCO/ROSCO_toolbox/utilities.py
@@ -63,7 +63,7 @@ def write_DISCON(turbine, controller, param_file='DISCON.IN', txt_filename='Cp_C
     file.write('!    - File written using ROSCO version {} controller tuning logic on {}\n'.format(ROSCO_toolbox.__version__, now.strftime('%m/%d/%y')))
     file.write('\n')
     file.write('!------- DEBUG ------------------------------------------------------------\n')
-    file.write('{0:<12d}        ! LoggingLevel		- {{0: write no debug files, 1: write standard output .dbg-file, 2: write standard output .dbg-file and complete avrSWAP-array .dbg2-file}}\n'.format(int(rosco_vt['LoggingLevel'])))
+    file.write('{0:<12d}        ! LoggingLevel		- {{0: write no debug files, 1: write standard output .dbg-file, 2: LoggingLevel 1 + ROSCO LocalVars (.dbg2) 3: LoggingLevel 2 + complete avrSWAP-array (.dbg3)}}\n'.format(int(rosco_vt['LoggingLevel'])))
     file.write('\n')
     file.write('!------- CONTROLLER FLAGS -------------------------------------------------\n')
     file.write('{0:<12d}        ! F_LPFType			- {{1: first-order low-pass filter, 2: second-order low-pass filter}}, [rad/s] (currently filters generator speed and pitch control signals\n'.format(int(rosco_vt['F_LPFType'])))
@@ -77,8 +77,13 @@ def write_DISCON(turbine, controller, param_file='DISCON.IN', txt_filename='Cp_C
     file.write('{0:<12d}        ! PS_Mode           - Pitch saturation mode {{0: no pitch saturation, 1: implement pitch saturation}}\n'.format(int(rosco_vt['PS_Mode'])))
     file.write('{0:<12d}        ! SD_Mode           - Shutdown mode {{0: no shutdown procedure, 1: pitch to max pitch at shutdown}}\n'.format(int(rosco_vt['SD_Mode'])))
     file.write('{0:<12d}        ! Fl_Mode           - Floating specific feedback mode {{0: no nacelle velocity feedback, 1: feed back translational velocity, 2: feed back rotational veloicty}}\n'.format(int(rosco_vt['Fl_Mode'])))
+    file.write('{0:<12d}        ! TD_Mode           - Tower damper mode {{0: no tower damper, 1: feed back translational nacelle accelleration to pitch angle}}\n'.format(int(rosco_vt['TD_Mode'])))
     file.write('{0:<12d}        ! Flp_Mode          - Flap control mode {{0: no flap control, 1: steady state flap angle, 2: Proportional flap control, 2: Cyclic (1P) flap control}}\n'.format(int(rosco_vt['Flp_Mode'])))
-    file.write('{0:<12d}        ! OL_Mode           - Open loop control mode {{0: no open loop control, 1: open loop control vs. time, 2: open loop control vs. wind speed}}\n'.format(int(rosco_vt['OL_Mode'])))
+    file.write('{0:<12d}        ! OL_Mode           - Open loop control mode {{0: no open loop control, 1: open loop control vs. time}}\n'.format(int(rosco_vt['OL_Mode'])))
+    file.write('{0:<12d}        ! PA_Mode           - Pitch actuator mode {{0 - not used, 1 - first order filter, 2 - second order filter}}\n'.format(int(rosco_vt['PA_Mode'])))
+    file.write('{0:<12d}        ! Ext_Mode          - External control mode {{0 - not used, 1 - call external dynamic library}}\n'.format(int(rosco_vt['Ext_Mode'])))
+    file.write('{0:<12d}        ! ZMQ_Mode          - Fuse ZeroMQ interaface {{0: unused, 1: Yaw Control}}\n'.format(int(rosco_vt['ZMQ_Mode'])))
+
     file.write('\n')
     file.write('!------- FILTERS ----------------------------------------------------------\n') 
     file.write('{:<13.5f}       ! F_LPFCornerFreq	- Corner frequency (-3dB point) in the low-pass filters, [rad/s]\n'.format(rosco_vt['F_LPFCornerFreq'])) 
@@ -87,6 +92,7 @@ def write_DISCON(turbine, controller, param_file='DISCON.IN', txt_filename='Cp_C
     file.write('{}! F_NotchBetaNumDen	- Two notch damping values (numerator and denominator, resp) - determines the width and depth of the notch, [-]\n'.format(''.join('{:<4.6f}  '.format(rosco_vt['F_NotchBetaNumDen'][i]) for i in range(len(rosco_vt['F_NotchBetaNumDen'])))))
     file.write('{:<13.5f}       ! F_SSCornerFreq    - Corner frequency (-3dB point) in the first order low pass filter for the setpoint smoother, [rad/s].\n'.format(rosco_vt['F_SSCornerFreq']))
     file.write('{:<13.5f}       ! F_WECornerFreq    - Corner frequency (-3dB point) in the first order low pass filter for the wind speed estimate [rad/s].\n'.format(rosco_vt['F_WECornerFreq']))
+    file.write('{:<13.5f}       ! F_YawErr          - Low pass filter corner frequency for yaw controller [rad/s].\n'.format(rosco_vt['F_YawErr']))
     file.write('{}! F_FlCornerFreq    - Natural frequency and damping in the second order low pass filter of the tower-top fore-aft motion for floating feedback control [rad/s, -].\n'.format(''.join('{:<4.6f}  '.format(rosco_vt['F_FlCornerFreq'][i]) for i in range(len(rosco_vt['F_FlCornerFreq'])))))
     file.write('{:<13.5f}       ! F_FlHighPassFreq    - Natural frequency of first-order high-pass filter for nacelle fore-aft motion [rad/s].\n'.format(rosco_vt['F_FlHighPassFreq']))
     file.write('{}! F_FlpCornerFreq   - Corner frequency and damping in the second order low pass filter of the blade root bending moment for flap control [rad/s, -].\n'.format(''.join('{:<4.6f}  '.format(rosco_vt['F_FlpCornerFreq'][i]) for i in range(len(rosco_vt['F_FlpCornerFreq'])))))
@@ -150,20 +156,16 @@ def write_DISCON(turbine, controller, param_file='DISCON.IN', txt_filename='Cp_C
     file.write('{}              ! WE_FOPoles        - First order system poles [1/s]\n'.format(''.join('{:<10.8f} '.format(rosco_vt['WE_FOPoles'][i]) for i in range(len(rosco_vt['WE_FOPoles'])))))
     file.write('\n')
     file.write('!------- YAW CONTROL ------------------------------------------------------\n')
-    file.write('{:<13.5f}       ! Y_ErrThresh		- Yaw error threshold. Turbine begins to yaw when it passes this. [rad^2 s]\n'.format(rosco_vt['Y_ErrThresh']))
+    file.write('{:<13.5f}       ! Y_uSwitch		- Wind speed to switch between Y_ErrThresh. If zero, only the first value of Y_ErrThresh is used [m/s]\n'.format(rosco_vt['Y_uSwitch']))
+    file.write('{}! Y_ErrThresh    - Yaw error threshold/deadband. Turbine begins to yaw when it passes this. If Y_uSwitch is zero, only the first value is used. [deg].\n'.format(''.join('{:<4.6f}  '.format(rosco_vt['Y_ErrThresh'][i]) for i in range(len(rosco_vt['F_FlCornerFreq'])))))
+    file.write('{:<13.5f}       ! Y_Rate			- Yaw rate [rad/s]\n'.format(rosco_vt['Y_Rate']))
+    file.write('{:<13.5f}       ! Y_MErrSet		- Integrator saturation (maximum signal amplitude contribution to pitch from yaw-by-IPC), [rad]\n'.format(rosco_vt['Y_MErrSet']))
     file.write('{:<13.5f}       ! Y_IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from yaw-by-IPC), [rad]\n'.format(rosco_vt['Y_IPC_IntSat']))
-    file.write('{:<11d}         ! Y_IPC_n			- Number of controller gains (yaw-by-IPC)\n'.format(int(rosco_vt['Y_IPC_n'])))
     file.write('{:<13.5f}       ! Y_IPC_KP			- Yaw-by-IPC proportional controller gain Kp\n'.format(rosco_vt['Y_IPC_KP']))
     file.write('{:<13.5f}       ! Y_IPC_KI			- Yaw-by-IPC integral controller gain Ki\n'.format(rosco_vt['Y_IPC_KI']))
-    file.write('{:<13.5f}       ! Y_IPC_omegaLP		- Low-pass filter corner frequency for the Yaw-by-IPC controller to filtering the yaw alignment error, [rad/s].\n'.format(rosco_vt['Y_IPC_omegaLP']))
-    file.write('{:<13.5f}       ! Y_IPC_zetaLP		- Low-pass filter damping factor for the Yaw-by-IPC controller to filtering the yaw alignment error, [-].\n'.format(rosco_vt['Y_IPC_zetaLP']))
-    file.write('{:<13.5f}       ! Y_MErrSet			- Yaw alignment error, set point [rad]\n'.format(rosco_vt['Y_MErrSet']))
-    file.write('{:<13.5f}       ! Y_omegaLPFast		- Corner frequency fast low pass filter, 1.0 [rad/s]\n'.format(rosco_vt['Y_omegaLPFast']))
-    file.write('{:<13.5f}       ! Y_omegaLPSlow		- Corner frequency slow low pass filter, 1/60 [rad/s]\n'.format(rosco_vt['Y_omegaLPSlow']))
-    file.write('{:<13.5f}       ! Y_Rate			- Yaw rate [rad/s]\n'.format(rosco_vt['Y_Rate']))
     file.write('\n')
     file.write('!------- TOWER FORE-AFT DAMPING -------------------------------------------\n')
-    file.write('{:<11d}         ! FA_KI				- Integral gain for the fore-aft tower damper controller, -1 = off / >0 = on [rad s/m] - !NJA - Make this a flag\n'.format(int(rosco_vt['FA_KI'] )))
+    file.write('{:<13.5f}       ! FA_KI				- Integral gain for the fore-aft tower damper controller [rad s/m]\n'.format(rosco_vt['FA_KI'] ))
     file.write('{:<13.1f}       ! FA_HPFCornerFreq	- Corner frequency (-3dB point) in the high-pass filter on the fore-aft acceleration signal [rad/s]\n'.format(rosco_vt['FA_HPFCornerFreq'] ))
     file.write('{:<13.1f}       ! FA_IntSat			- Integrator saturation (maximum signal amplitude contribution to pitch from FA damper), [rad]\n'.format(rosco_vt['FA_IntSat'] ))
     file.write('\n')
@@ -195,8 +197,21 @@ def write_DISCON(turbine, controller, param_file='DISCON.IN', txt_filename='Cp_C
     file.write('{0:<12d}        ! Ind_BldPitch      - The column in OL_Filename that contains the blade pitch input in rad\n'.format(int(rosco_vt['Ind_BldPitch'])))
     file.write('{0:<12d}        ! Ind_GenTq         - The column in OL_Filename that contains the generator torque in Nm\n'.format(int(rosco_vt['Ind_GenTq'])))
     file.write('{0:<12d}        ! Ind_YawRate       - The column in OL_Filename that contains the generator torque in Nm\n'.format(int(rosco_vt['Ind_YawRate'])))
+    file.write('\n')
+    file.write('!------- Pitch Actuator Model -----------------------------------------------------\n')
+    file.write('{:<014.5f}        ! PA_CornerFreq     - Pitch actuator bandwidth/cut-off frequency [rad/s]\n'.format(rosco_vt['PA_CornerFreq']))
+    file.write('{:<014.5f}        ! PA_Damping        - Pitch actuator damping ratio [-, unused if PA_Mode = 1]\n'.format(rosco_vt['PA_Damping']))
+    file.write('\n')
+    file.write('!------- External Controller Interface -----------------------------------------------------\n')
+    file.write('"{}"            ! DLL_FileName        - Name/location of the dynamic library in the Bladed-DLL format\n'.format(rosco_vt['DLL_FileName']))
+    file.write('"{}"            ! DLL_InFile          - Name of input file sent to the DLL (-)\n'.format(rosco_vt['DLL_InFile']))
+    file.write('"{}"            ! DLL_ProcName        - Name of procedure in DLL to be called (-) \n'.format(rosco_vt['DLL_ProcName']))    
+    file.write('\n')
+    file.write('!------- ZeroMQ Interface ---------------------------------------------------------\n')
+    file.write('"{}"            ! ZMQ_CommAddress     - Communication address for ZMQ server, (e.g. "tcp://localhost:5555") \n'.format(rosco_vt['ZMQ_CommAddress']))
+    file.write('{:<11d}         ! ZMQ_UpdatePeriod    - Call ZeroMQ every [x] seconds, [s]\n'.format(int(rosco_vt['ZMQ_UpdatePeriod'])))
     file.close()
-    
+
     # Write Open loop input
     if rosco_vt['OL_Mode'] and hasattr(controller, 'OpenLoop'):
         write_ol_control(controller)
@@ -375,8 +390,12 @@ def DISCON_dict(turbine, controller, txt_filename=None):
     DISCON_dict['PS_Mode']          = int(controller.PS_Mode > 0)
     DISCON_dict['SD_Mode']          = int(controller.SD_Mode)
     DISCON_dict['Fl_Mode']          = int(controller.Fl_Mode)
+    DISCON_dict['TD_Mode']          = int(controller.TD_Mode)
     DISCON_dict['Flp_Mode']         = int(controller.Flp_Mode)
     DISCON_dict['OL_Mode']          = int(controller.OL_Mode)
+    DISCON_dict['PA_Mode']          = int(controller.PA_Mode)
+    DISCON_dict['Ext_Mode']         = int(controller.Ext_Mode)
+    DISCON_dict['ZMQ_Mode']         = int(controller.ZMQ_Mode)
     # ------- FILTERS -------
     DISCON_dict['F_LPFCornerFreq']	    = turbine.bld_edgewise_freq * 1/4
     DISCON_dict['F_LPFDamping']		    = controller.F_LPFDamping
@@ -393,6 +412,7 @@ def DISCON_dict(turbine, controller, txt_filename=None):
     DISCON_dict['F_FlpCornerFreq'] = [turbine.bld_flapwise_freq*3, 1.0]
     DISCON_dict['F_WECornerFreq']       = controller.f_we_cornerfreq
     DISCON_dict['F_SSCornerFreq']       = controller.f_ss_cornerfreq
+    DISCON_dict['F_YawErr']             = controller.f_yawerr
     DISCON_dict['F_FlHighPassFreq']     = controller.f_fl_highpassfreq
     DISCON_dict['F_FlCornerFreq']       = [controller.ptfm_freq, 1.0]
     # ------- BLADE PITCH CONTROL -------
@@ -411,7 +431,7 @@ def DISCON_dict(turbine, controller, txt_filename=None):
     DISCON_dict['PC_Switch']		= 1 * deg2rad
     # ------- INDIVIDUAL PITCH CONTROL -------
     DISCON_dict['IPC_Vramp']        = controller.IPC_Vramp
-    DISCON_dict['IPC_IntSat']		= 0.087266
+    DISCON_dict['IPC_IntSat']		= 0.2618
     DISCON_dict['IPC_KP']           = [controller.Kp_ipc1p, controller.Kp_ipc2p]
     DISCON_dict['IPC_KI']           = [controller.Ki_ipc1p, controller.Ki_ipc2p]
     DISCON_dict['IPC_aziOffset']	= [0.0, 0.0]
@@ -448,17 +468,13 @@ def DISCON_dict(turbine, controller, txt_filename=None):
     DISCON_dict['WE_FOPoles_v']     = controller.v
     DISCON_dict['WE_FOPoles']       = controller.A
     # ------- YAW CONTROL -------
-    DISCON_dict['Y_ErrThresh']		= 0.1396
-    DISCON_dict['Y_IPC_IntSat']		= 0.0
-    DISCON_dict['Y_IPC_n']			= 1
-    DISCON_dict['Y_IPC_KP']			= 0.0
-    DISCON_dict['Y_IPC_KI']			= 0.0
-    DISCON_dict['Y_IPC_omegaLP']    = 0.2094
-    DISCON_dict['Y_IPC_zetaLP']		= 1
-    DISCON_dict['Y_MErrSet']		= 0.0
-    DISCON_dict['Y_omegaLPFast']	= 0.2094
-    DISCON_dict['Y_omegaLPSlow']	= 0.1047
-    DISCON_dict['Y_Rate']			= 0.0052
+    DISCON_dict['Y_uSwitch']    = 0.0
+    DISCON_dict['Y_ErrThresh']  = [4.0, 8.0] # NJA: hard coding these params right now b/c we can just use the DISCON pass-through if needed
+    DISCON_dict['Y_Rate']       = 0.0087 #0.5 deg/s
+    DISCON_dict['Y_MErrSet']    = 0.0
+    DISCON_dict['Y_IPC_IntSat'] = 0.0
+    DISCON_dict['Y_IPC_KP'] = 0.0
+    DISCON_dict['Y_IPC_KI'] = 0.0
     # ------- TOWER FORE-AFT DAMPING -------
     DISCON_dict['FA_KI']                = -1
     DISCON_dict['FA_HPFCornerFreq'] = 0.0
@@ -483,6 +499,17 @@ def DISCON_dict(turbine, controller, txt_filename=None):
     DISCON_dict['Ind_BldPitch']    = controller.OL_Ind_BldPitch
     DISCON_dict['Ind_GenTq']       = controller.OL_Ind_GenTq
     DISCON_dict['Ind_YawRate']     = controller.OL_Ind_YawRate
+    # ------- Pitch Actuator -------
+    DISCON_dict['PA_Mode']         = controller.PA_Mode
+    DISCON_dict['PA_CornerFreq']   = controller.PA_CornerFreq
+    DISCON_dict['PA_Damping']      = controller.PA_Damping
+    # ------- Zero-MQ  ------- 
+    DISCON_dict['ZMQ_CommAddress'] = "tcp://localhost:5555" 
+    DISCON_dict['ZMQ_UpdatePeriod']  = 2
+    # Add pass through here
+    for param, value in controller.controller_params['DISCON'].items():
+        DISCON_dict[param] = value
+
 
     return DISCON_dict
 
diff --git a/ROSCO/Test_Cases/BAR_10/BAR_10_DISCON.IN b/ROSCO/Test_Cases/BAR_10/BAR_10_DISCON.IN
index 64db4dc3f..a2d09fa10 100644
--- a/ROSCO/Test_Cases/BAR_10/BAR_10_DISCON.IN
+++ b/ROSCO/Test_Cases/BAR_10/BAR_10_DISCON.IN
@@ -1,8 +1,8 @@
 ! Controller parameter input file for the BAR_10 wind turbine
-!    - File written using ROSCO version 2.5.0 controller tuning logic on 04/14/22
+!    - File written using ROSCO version 2.5.0 controller tuning logic on 07/22/22
 
 !------- DEBUG ------------------------------------------------------------
-1                   ! LoggingLevel		- {0: write no debug files, 1: write standard output .dbg-file, 2: write standard output .dbg-file and complete avrSWAP-array .dbg2-file}
+1                   ! LoggingLevel		- {0: write no debug files, 1: write standard output .dbg-file, 2: LoggingLevel 1 + ROSCO LocalVars (.dbg2) 3: LoggingLevel 2 + complete avrSWAP-array (.dbg3)}
 
 !------- CONTROLLER FLAGS -------------------------------------------------
 2                   ! F_LPFType			- {1: first-order low-pass filter, 2: second-order low-pass filter}, [rad/s] (currently filters generator speed and pitch control signals
@@ -16,16 +16,21 @@
 1                   ! PS_Mode           - Pitch saturation mode {0: no pitch saturation, 1: implement pitch saturation}
 0                   ! SD_Mode           - Shutdown mode {0: no shutdown procedure, 1: pitch to max pitch at shutdown}
 0                   ! Fl_Mode           - Floating specific feedback mode {0: no nacelle velocity feedback, 1: feed back translational velocity, 2: feed back rotational veloicty}
-0                   ! Flp_Mode          - Flap control mode {0: no flap control, 1: steady state flap angle, 2: Proportional flap control, 2: Cyclic (1P) flap control}
-0                   ! OL_Mode           - Open loop control mode {0: no open loop control, 1: open loop control vs. time, 2: open loop control vs. wind speed}
+0                   ! TD_Mode           - Tower damper mode {0: no tower damper, 1: feed back translational nacelle accelleration to pitch angle}
+2                   ! Flp_Mode          - Flap control mode {0: no flap control, 1: steady state flap angle, 2: Proportional flap control, 2: Cyclic (1P) flap control}
+0                   ! OL_Mode           - Open loop control mode {0: no open loop control, 1: open loop control vs. time}
+0                   ! PA_Mode           - Pitch actuator mode {0 - not used, 1 - first order filter, 2 - second order filter}
+0                   ! Ext_Mode          - External control mode {0 - not used, 1 - call external dynamic library}
+0                   ! ZMQ_Mode          - Fuse ZeroMQ interaface {0: unused, 1: Yaw Control}
 
 !------- FILTERS ----------------------------------------------------------
 0.81771             ! F_LPFCornerFreq	- Corner frequency (-3dB point) in the low-pass filters, [rad/s]
 0.70000             ! F_LPFDamping		- Damping coefficient {used only when F_FilterType = 2} [-]
-0.00000             ! F_NotchCornerFreq	- Natural frequency of the notch filter, [rad/s]
-0.000000  0.250000  ! F_NotchBetaNumDen	- Two notch damping values (numerator and denominator, resp) - determines the width and depth of the notch, [-]
+2.61601             ! F_NotchCornerFreq	- Natural frequency of the notch filter, [rad/s]
+0.000000  0.500000  ! F_NotchBetaNumDen	- Two notch damping values (numerator and denominator, resp) - determines the width and depth of the notch, [-]
 0.62830             ! F_SSCornerFreq    - Corner frequency (-3dB point) in the first order low pass filter for the setpoint smoother, [rad/s].
 0.20944             ! F_WECornerFreq    - Corner frequency (-3dB point) in the first order low pass filter for the wind speed estimate [rad/s].
+0.17952             ! F_YawErr          - Low pass filter corner frequency for yaw controller [rad/s].
 0.000000  1.000000  ! F_FlCornerFreq    - Natural frequency and damping in the second order low pass filter of the tower-top fore-aft motion for floating feedback control [rad/s, -].
 0.01042             ! F_FlHighPassFreq    - Natural frequency of first-order high-pass filter for nacelle fore-aft motion [rad/s].
 7.848030  1.000000  ! F_FlpCornerFreq   - Corner frequency and damping in the second order low pass filter of the blade root bending moment for flap control [rad/s, -].
@@ -47,7 +52,7 @@
 
 !------- INDIVIDUAL PITCH CONTROL -----------------------------------------
 6.618848  8.273560  ! IPC_Vramp		- Start and end wind speeds for cut-in ramp function. First entry: IPC inactive, second entry: IPC fully active. [m/s]
-0.1                 ! IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from IPC), [rad]
+0.3                 ! IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from IPC), [rad]
 2.050e-08 0.000e+00 ! IPC_KP			- Proportional gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
 1.450e-09 0.000e+00 ! IPC_KI			- Integral gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
 0.000000  0.000000  ! IPC_aziOffset		- Phase offset added to the azimuth angle for the individual pitch controller, [rad]. 
@@ -88,20 +93,16 @@
 -0.00972164 -0.01031092 -0.01090020 -0.01148948 -0.01207877 -0.01266805 -0.01325733 -0.01384662 -0.01443590 -0.01502518 -0.01561447 -0.01620375 -0.01679303 -0.01738232 -0.01797160 -0.01856088 -0.01915016 -0.01973945 -0.02032873 -0.02091801 -0.02150730 -0.02209658 -0.02268586 -0.02327515 -0.02386443 -0.02445371 -0.02504300 -0.02563228 -0.02622156 -0.02378670 -0.02062296 -0.02541485 -0.03159105 -0.03849962 -0.04595997 -0.05389417 -0.06225884 -0.07101431 -0.08016995 -0.08970426 -0.09955610 -0.10976762 -0.12028100 -0.13120419 -0.14238799 -0.15383228 -0.16572504 -0.17783697 -0.19011487 -0.20289651 -0.21593424 -0.22919262 -0.24255457 -0.25635133 -0.27049546 -0.28482651 -0.29923376 -0.31380076 -0.32862514 -0.34372726               ! WE_FOPoles        - First order system poles [1/s]
 
 !------- YAW CONTROL ------------------------------------------------------
-0.13960             ! Y_ErrThresh		- Yaw error threshold. Turbine begins to yaw when it passes this. [rad^2 s]
+0.00000             ! Y_uSwitch		- Wind speed to switch between Y_ErrThresh. If zero, only the first value of Y_ErrThresh is used [m/s]
+4.000000  8.000000  ! Y_ErrThresh    - Yaw error threshold. Turbine begins to yaw when it passes this. If Y_uSwitch is zero, only the first value is used. [deg].
+0.00870             ! Y_Rate			- Yaw rate [rad/s]
+0.00000             ! Y_MErrSet		- Integrator saturation (maximum signal amplitude contribution to pitch from yaw-by-IPC), [rad]
 0.00000             ! Y_IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from yaw-by-IPC), [rad]
-1                   ! Y_IPC_n			- Number of controller gains (yaw-by-IPC)
 0.00000             ! Y_IPC_KP			- Yaw-by-IPC proportional controller gain Kp
 0.00000             ! Y_IPC_KI			- Yaw-by-IPC integral controller gain Ki
-0.20940             ! Y_IPC_omegaLP		- Low-pass filter corner frequency for the Yaw-by-IPC controller to filtering the yaw alignment error, [rad/s].
-1.00000             ! Y_IPC_zetaLP		- Low-pass filter damping factor for the Yaw-by-IPC controller to filtering the yaw alignment error, [-].
-0.00000             ! Y_MErrSet			- Yaw alignment error, set point [rad]
-0.20940             ! Y_omegaLPFast		- Corner frequency fast low pass filter, 1.0 [rad/s]
-0.10470             ! Y_omegaLPSlow		- Corner frequency slow low pass filter, 1/60 [rad/s]
-0.00520             ! Y_Rate			- Yaw rate [rad/s]
 
 !------- TOWER FORE-AFT DAMPING -------------------------------------------
--1                  ! FA_KI				- Integral gain for the fore-aft tower damper controller, -1 = off / >0 = on [rad s/m] - !NJA - Make this a flag
+-1.00000            ! FA_KI				- Integral gain for the fore-aft tower damper controller [rad s/m]
 0.0                 ! FA_HPFCornerFreq	- Corner frequency (-3dB point) in the high-pass filter on the fore-aft acceleration signal [rad/s]
 0.0                 ! FA_IntSat			- Integrator saturation (maximum signal amplitude contribution to pitch from FA damper), [rad]
 
@@ -119,8 +120,8 @@
 
 !------- FLAP ACTUATION -----------------------------------------------------
 0.000000000000      ! Flp_Angle         - Initial or steady state flap angle [rad]
-0.00000000e+00      ! Flp_Kp            - Blade root bending moment proportional gain for flap control [s]
-0.00000000e+00      ! Flp_Ki            - Flap displacement integral gain for flap control [-]
+1.46445122e-08      ! Flp_Kp            - Blade root bending moment proportional gain for flap control [s]
+1.46445122e-09      ! Flp_Ki            - Flap displacement integral gain for flap control [-]
 0.174500000000      ! Flp_MaxPit        - Maximum (and minimum) flap pitch angle [rad]
 
 !------- Open Loop Control -----------------------------------------------------
@@ -129,3 +130,16 @@
 0                   ! Ind_BldPitch      - The column in OL_Filename that contains the blade pitch input in rad
 0                   ! Ind_GenTq         - The column in OL_Filename that contains the generator torque in Nm
 0                   ! Ind_YawRate       - The column in OL_Filename that contains the generator torque in Nm
+
+!------- Pitch Actuator Model -----------------------------------------------------
+3.140000000000        ! PA_CornerFreq     - Pitch actuator bandwidth/cut-off frequency [rad/s]
+0.707000000000        ! PA_Damping        - Pitch actuator damping ratio [-, unused if PA_Mode = 1]
+
+!------- External Controller Interface -----------------------------------------------------
+"unused"            ! DLL_FileName        - Name/location of the dynamic library in the Bladed-DLL format
+"unused"            ! DLL_InFile          - Name of input file sent to the DLL (-)
+"DISCON"            ! DLL_ProcName        - Name of procedure in DLL to be called (-) 
+
+!------- ZeroMQ Interface ---------------------------------------------------------
+"tcp://localhost:5555"            ! ZMQ_CommAddress     - Communication address for ZMQ server, (e.g. "tcp://localhost:5555") 
+2                   ! ZMQ_UpdatePeriod    - Call ZeroMQ every [x] seconds, [s]
diff --git a/ROSCO/Test_Cases/IEA-15-240-RWT-UMaineSemi/DISCON-UMaineSemi.IN b/ROSCO/Test_Cases/IEA-15-240-RWT-UMaineSemi/DISCON-UMaineSemi.IN
index c96242be2..3745fee9e 100644
--- a/ROSCO/Test_Cases/IEA-15-240-RWT-UMaineSemi/DISCON-UMaineSemi.IN
+++ b/ROSCO/Test_Cases/IEA-15-240-RWT-UMaineSemi/DISCON-UMaineSemi.IN
@@ -1,8 +1,8 @@
 ! Controller parameter input file for the IEA-15-240-RWT-UMaineSemi wind turbine
-!    - File written using ROSCO version 2.5.0 controller tuning logic on 04/14/22
+!    - File written using ROSCO version 2.5.0 controller tuning logic on 07/22/22
 
 !------- DEBUG ------------------------------------------------------------
-1                   ! LoggingLevel		- {0: write no debug files, 1: write standard output .dbg-file, 2: write standard output .dbg-file and complete avrSWAP-array .dbg2-file}
+2                   ! LoggingLevel		- {0: write no debug files, 1: write standard output .dbg-file, 2: LoggingLevel 1 + ROSCO LocalVars (.dbg2) 3: LoggingLevel 2 + complete avrSWAP-array (.dbg3)}
 
 !------- CONTROLLER FLAGS -------------------------------------------------
 2                   ! F_LPFType			- {1: first-order low-pass filter, 2: second-order low-pass filter}, [rad/s] (currently filters generator speed and pitch control signals
@@ -16,8 +16,12 @@
 1                   ! PS_Mode           - Pitch saturation mode {0: no pitch saturation, 1: implement pitch saturation}
 0                   ! SD_Mode           - Shutdown mode {0: no shutdown procedure, 1: pitch to max pitch at shutdown}
 2                   ! Fl_Mode           - Floating specific feedback mode {0: no nacelle velocity feedback, 1: feed back translational velocity, 2: feed back rotational veloicty}
+0                   ! TD_Mode           - Tower damper mode {0: no tower damper, 1: feed back translational nacelle accelleration to pitch angle}
 0                   ! Flp_Mode          - Flap control mode {0: no flap control, 1: steady state flap angle, 2: Proportional flap control, 2: Cyclic (1P) flap control}
-0                   ! OL_Mode           - Open loop control mode {0: no open loop control, 1: open loop control vs. time, 2: open loop control vs. wind speed}
+0                   ! OL_Mode           - Open loop control mode {0: no open loop control, 1: open loop control vs. time}
+2                   ! PA_Mode           - Pitch actuator mode {0 - not used, 1 - first order filter, 2 - second order filter}
+0                   ! Ext_Mode          - External control mode {0 - not used, 1 - call external dynamic library}
+0                   ! ZMQ_Mode          - Fuse ZeroMQ interaface {0: unused, 1: Yaw Control}
 
 !------- FILTERS ----------------------------------------------------------
 1.00810             ! F_LPFCornerFreq	- Corner frequency (-3dB point) in the low-pass filters, [rad/s]
@@ -26,6 +30,7 @@
 0.000000  0.250000  ! F_NotchBetaNumDen	- Two notch damping values (numerator and denominator, resp) - determines the width and depth of the notch, [-]
 0.62830             ! F_SSCornerFreq    - Corner frequency (-3dB point) in the first order low pass filter for the setpoint smoother, [rad/s].
 0.20944             ! F_WECornerFreq    - Corner frequency (-3dB point) in the first order low pass filter for the wind speed estimate [rad/s].
+0.17952             ! F_YawErr          - Low pass filter corner frequency for yaw controller [rad/s].
 0.213000  1.000000  ! F_FlCornerFreq    - Natural frequency and damping in the second order low pass filter of the tower-top fore-aft motion for floating feedback control [rad/s, -].
 0.01042             ! F_FlHighPassFreq    - Natural frequency of first-order high-pass filter for nacelle fore-aft motion [rad/s].
 10.461600  1.000000  ! F_FlpCornerFreq   - Corner frequency and damping in the second order low pass filter of the blade root bending moment for flap control [rad/s, -].
@@ -47,7 +52,7 @@
 
 !------- INDIVIDUAL PITCH CONTROL -----------------------------------------
 8.592000  10.740000  ! IPC_Vramp		- Start and end wind speeds for cut-in ramp function. First entry: IPC inactive, second entry: IPC fully active. [m/s]
-0.1                 ! IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from IPC), [rad]
+0.3                 ! IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from IPC), [rad]
 0.000e+00 0.000e+00 ! IPC_KP			- Proportional gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
 0.000e+00 0.000e+00 ! IPC_KI			- Integral gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
 0.000000  0.000000  ! IPC_aziOffset		- Phase offset added to the azimuth angle for the individual pitch controller, [rad]. 
@@ -88,20 +93,16 @@
 -0.02438353 -0.02655283 -0.02872212 -0.03089141 -0.03306071 -0.03523000 -0.03739930 -0.03956859 -0.04173788 -0.04390718 -0.04607647 -0.04824576 -0.05041506 -0.05258435 -0.05475365 -0.05692294 -0.05909223 -0.06126153 -0.06343082 -0.06560011 -0.06776941 -0.06993870 -0.07210800 -0.07427729 -0.07644658 -0.07861588 -0.08078517 -0.08295446 -0.08512376 -0.08490640 -0.05739531 -0.05967534 -0.06643664 -0.07537721 -0.08537869 -0.09664144 -0.10851650 -0.12137925 -0.13453168 -0.14834459 -0.16280188 -0.17753158 -0.19283401 -0.20862160 -0.22461456 -0.24120058 -0.25817445 -0.27538476 -0.29299882 -0.31103587 -0.32941546 -0.34807902 -0.36693717 -0.38625237 -0.40583167 -0.42579305 -0.44596365 -0.46626113 -0.48675074 -0.50756940               ! WE_FOPoles        - First order system poles [1/s]
 
 !------- YAW CONTROL ------------------------------------------------------
-0.13960             ! Y_ErrThresh		- Yaw error threshold. Turbine begins to yaw when it passes this. [rad^2 s]
+0.00000             ! Y_uSwitch		- Wind speed to switch between Y_ErrThresh. If zero, only the first value of Y_ErrThresh is used [m/s]
+4.000000  8.000000  ! Y_ErrThresh    - Yaw error threshold. Turbine begins to yaw when it passes this. If Y_uSwitch is zero, only the first value is used. [deg].
+0.00870             ! Y_Rate			- Yaw rate [rad/s]
+0.00000             ! Y_MErrSet		- Integrator saturation (maximum signal amplitude contribution to pitch from yaw-by-IPC), [rad]
 0.00000             ! Y_IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from yaw-by-IPC), [rad]
-1                   ! Y_IPC_n			- Number of controller gains (yaw-by-IPC)
 0.00000             ! Y_IPC_KP			- Yaw-by-IPC proportional controller gain Kp
 0.00000             ! Y_IPC_KI			- Yaw-by-IPC integral controller gain Ki
-0.20940             ! Y_IPC_omegaLP		- Low-pass filter corner frequency for the Yaw-by-IPC controller to filtering the yaw alignment error, [rad/s].
-1.00000             ! Y_IPC_zetaLP		- Low-pass filter damping factor for the Yaw-by-IPC controller to filtering the yaw alignment error, [-].
-0.00000             ! Y_MErrSet			- Yaw alignment error, set point [rad]
-0.20940             ! Y_omegaLPFast		- Corner frequency fast low pass filter, 1.0 [rad/s]
-0.10470             ! Y_omegaLPSlow		- Corner frequency slow low pass filter, 1/60 [rad/s]
-0.00520             ! Y_Rate			- Yaw rate [rad/s]
 
 !------- TOWER FORE-AFT DAMPING -------------------------------------------
--1                  ! FA_KI				- Integral gain for the fore-aft tower damper controller, -1 = off / >0 = on [rad s/m] - !NJA - Make this a flag
+-1.00000            ! FA_KI				- Integral gain for the fore-aft tower damper controller [rad s/m]
 0.0                 ! FA_HPFCornerFreq	- Corner frequency (-3dB point) in the high-pass filter on the fore-aft acceleration signal [rad/s]
 0.0                 ! FA_IntSat			- Integrator saturation (maximum signal amplitude contribution to pitch from FA damper), [rad]
 
@@ -129,3 +130,16 @@
 0                   ! Ind_BldPitch      - The column in OL_Filename that contains the blade pitch input in rad
 0                   ! Ind_GenTq         - The column in OL_Filename that contains the generator torque in Nm
 0                   ! Ind_YawRate       - The column in OL_Filename that contains the generator torque in Nm
+
+!------- Pitch Actuator Model -----------------------------------------------------
+1.570800000000        ! PA_CornerFreq     - Pitch actuator bandwidth/cut-off frequency [rad/s]
+0.707000000000        ! PA_Damping        - Pitch actuator damping ratio [-, unused if PA_Mode = 1]
+
+!------- External Controller Interface -----------------------------------------------------
+"unused"            ! DLL_FileName        - Name/location of the dynamic library in the Bladed-DLL format
+"unused"            ! DLL_InFile          - Name of input file sent to the DLL (-)
+"DISCON"            ! DLL_ProcName        - Name of procedure in DLL to be called (-) 
+
+!------- ZeroMQ Interface ---------------------------------------------------------
+"tcp://localhost:5555"            ! ZMQ_CommAddress     - Communication address for ZMQ server, (e.g. "tcp://localhost:5555") 
+2                   ! ZMQ_UpdatePeriod    - Call ZeroMQ every [x] seconds, [s]
diff --git a/ROSCO/Test_Cases/IEA-15-240-RWT-UMaineSemi/IEA-15-240-RWT-UMaineSemi_ElastoDyn.dat b/ROSCO/Test_Cases/IEA-15-240-RWT-UMaineSemi/IEA-15-240-RWT-UMaineSemi_ElastoDyn.dat
index 8d74a1f8a..07ca94c06 100644
--- a/ROSCO/Test_Cases/IEA-15-240-RWT-UMaineSemi/IEA-15-240-RWT-UMaineSemi_ElastoDyn.dat
+++ b/ROSCO/Test_Cases/IEA-15-240-RWT-UMaineSemi/IEA-15-240-RWT-UMaineSemi_ElastoDyn.dat
@@ -183,5 +183,9 @@ True          TabDelim    - Use tab delimiters in text tabular output file? (fla
 "YawBrMzp"                 
 "TwrBsFzt"                 
 "NacYaw"
+"NcIMURAYs"
+"RootMyc1"
+"RootMyc2"
+"RootMyc3"
 END of input file (the word "END" must appear in the first 3 columns of this last OutList line)
 ---------------------------------------------------------------------------------------
diff --git a/ROSCO/Test_Cases/NREL-5MW/DISCON.IN b/ROSCO/Test_Cases/NREL-5MW/DISCON.IN
index a344bb32f..b5a353aea 100644
--- a/ROSCO/Test_Cases/NREL-5MW/DISCON.IN
+++ b/ROSCO/Test_Cases/NREL-5MW/DISCON.IN
@@ -1,8 +1,8 @@
 ! Controller parameter input file for the NREL-5MW wind turbine
-!    - File written using ROSCO version 2.5.0 controller tuning logic on 04/14/22
+!    - File written using ROSCO version 2.5.0 controller tuning logic on 07/22/22
 
 !------- DEBUG ------------------------------------------------------------
-1                   ! LoggingLevel		- {0: write no debug files, 1: write standard output .dbg-file, 2: write standard output .dbg-file and complete avrSWAP-array .dbg2-file}
+1                   ! LoggingLevel		- {0: write no debug files, 1: write standard output .dbg-file, 2: LoggingLevel 1 + ROSCO LocalVars (.dbg2) 3: LoggingLevel 2 + complete avrSWAP-array (.dbg3)}
 
 !------- CONTROLLER FLAGS -------------------------------------------------
 1                   ! F_LPFType			- {1: first-order low-pass filter, 2: second-order low-pass filter}, [rad/s] (currently filters generator speed and pitch control signals
@@ -16,8 +16,12 @@
 1                   ! PS_Mode           - Pitch saturation mode {0: no pitch saturation, 1: implement pitch saturation}
 0                   ! SD_Mode           - Shutdown mode {0: no shutdown procedure, 1: pitch to max pitch at shutdown}
 0                   ! Fl_Mode           - Floating specific feedback mode {0: no nacelle velocity feedback, 1: feed back translational velocity, 2: feed back rotational veloicty}
+0                   ! TD_Mode           - Tower damper mode {0: no tower damper, 1: feed back translational nacelle accelleration to pitch angle}
 0                   ! Flp_Mode          - Flap control mode {0: no flap control, 1: steady state flap angle, 2: Proportional flap control, 2: Cyclic (1P) flap control}
-0                   ! OL_Mode           - Open loop control mode {0: no open loop control, 1: open loop control vs. time, 2: open loop control vs. wind speed}
+0                   ! OL_Mode           - Open loop control mode {0: no open loop control, 1: open loop control vs. time}
+0                   ! PA_Mode           - Pitch actuator mode {0 - not used, 1 - first order filter, 2 - second order filter}
+0                   ! Ext_Mode          - External control mode {0 - not used, 1 - call external dynamic library}
+0                   ! ZMQ_Mode          - Fuse ZeroMQ interaface {0: unused, 1: Yaw Control}
 
 !------- FILTERS ----------------------------------------------------------
 1.57080             ! F_LPFCornerFreq	- Corner frequency (-3dB point) in the low-pass filters, [rad/s]
@@ -26,6 +30,7 @@
 0.000000  0.250000  ! F_NotchBetaNumDen	- Two notch damping values (numerator and denominator, resp) - determines the width and depth of the notch, [-]
 0.62830             ! F_SSCornerFreq    - Corner frequency (-3dB point) in the first order low pass filter for the setpoint smoother, [rad/s].
 0.20944             ! F_WECornerFreq    - Corner frequency (-3dB point) in the first order low pass filter for the wind speed estimate [rad/s].
+0.17952             ! F_YawErr          - Low pass filter corner frequency for yaw controller [rad/s].
 0.000000  1.000000  ! F_FlCornerFreq    - Natural frequency and damping in the second order low pass filter of the tower-top fore-aft motion for floating feedback control [rad/s, -].
 0.01042             ! F_FlHighPassFreq    - Natural frequency of first-order high-pass filter for nacelle fore-aft motion [rad/s].
 0.000000  1.000000  ! F_FlpCornerFreq   - Corner frequency and damping in the second order low pass filter of the blade root bending moment for flap control [rad/s, -].
@@ -47,7 +52,7 @@
 
 !------- INDIVIDUAL PITCH CONTROL -----------------------------------------
 9.120000  11.400000  ! IPC_Vramp		- Start and end wind speeds for cut-in ramp function. First entry: IPC inactive, second entry: IPC fully active. [m/s]
-0.1                 ! IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from IPC), [rad]
+0.3                 ! IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from IPC), [rad]
 0.000e+00 0.000e+00 ! IPC_KP			- Proportional gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
 0.000e+00 0.000e+00 ! IPC_KI			- Integral gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
 0.000000  0.000000  ! IPC_aziOffset		- Phase offset added to the azimuth angle for the individual pitch controller, [rad]. 
@@ -88,20 +93,16 @@
 -0.01638154 -0.01796321 -0.01954487 -0.02112654 -0.02270820 -0.02428987 -0.02587154 -0.02745320 -0.02903487 -0.03061653 -0.03219820 -0.03377987 -0.03536153 -0.03694320 -0.03852486 -0.04010653 -0.04168820 -0.04326986 -0.04485153 -0.04643319 -0.04801486 -0.04959652 -0.05117819 -0.05275986 -0.05434152 -0.05592319 -0.05758373 -0.05882656 -0.06845507 -0.05992890 0.02094683 0.01327182 0.00285485 -0.00935731 -0.02210773 -0.03573037 -0.04990222 -0.06404904 -0.07899629 -0.09463190 -0.10954192 -0.12525205 -0.14168652 -0.15843395 -0.17415061 -0.19052486 -0.20780146 -0.22581018 -0.24373777 -0.26010871 -0.27706767 -0.29551708 -0.31430599 -0.33428552 -0.35420853 -0.37183729 -0.38936451 -0.40828911 -0.42758878 -0.44818175               ! WE_FOPoles        - First order system poles [1/s]
 
 !------- YAW CONTROL ------------------------------------------------------
-0.13960             ! Y_ErrThresh		- Yaw error threshold. Turbine begins to yaw when it passes this. [rad^2 s]
+0.00000             ! Y_uSwitch		- Wind speed to switch between Y_ErrThresh. If zero, only the first value of Y_ErrThresh is used [m/s]
+4.000000  8.000000  ! Y_ErrThresh    - Yaw error threshold. Turbine begins to yaw when it passes this. If Y_uSwitch is zero, only the first value is used. [deg].
+0.00870             ! Y_Rate			- Yaw rate [rad/s]
+0.00000             ! Y_MErrSet		- Integrator saturation (maximum signal amplitude contribution to pitch from yaw-by-IPC), [rad]
 0.00000             ! Y_IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from yaw-by-IPC), [rad]
-1                   ! Y_IPC_n			- Number of controller gains (yaw-by-IPC)
 0.00000             ! Y_IPC_KP			- Yaw-by-IPC proportional controller gain Kp
 0.00000             ! Y_IPC_KI			- Yaw-by-IPC integral controller gain Ki
-0.20940             ! Y_IPC_omegaLP		- Low-pass filter corner frequency for the Yaw-by-IPC controller to filtering the yaw alignment error, [rad/s].
-1.00000             ! Y_IPC_zetaLP		- Low-pass filter damping factor for the Yaw-by-IPC controller to filtering the yaw alignment error, [-].
-0.00000             ! Y_MErrSet			- Yaw alignment error, set point [rad]
-0.20940             ! Y_omegaLPFast		- Corner frequency fast low pass filter, 1.0 [rad/s]
-0.10470             ! Y_omegaLPSlow		- Corner frequency slow low pass filter, 1/60 [rad/s]
-0.00520             ! Y_Rate			- Yaw rate [rad/s]
 
 !------- TOWER FORE-AFT DAMPING -------------------------------------------
--1                  ! FA_KI				- Integral gain for the fore-aft tower damper controller, -1 = off / >0 = on [rad s/m] - !NJA - Make this a flag
+-1.00000            ! FA_KI				- Integral gain for the fore-aft tower damper controller [rad s/m]
 0.0                 ! FA_HPFCornerFreq	- Corner frequency (-3dB point) in the high-pass filter on the fore-aft acceleration signal [rad/s]
 0.0                 ! FA_IntSat			- Integrator saturation (maximum signal amplitude contribution to pitch from FA damper), [rad]
 
@@ -129,3 +130,16 @@
 0                   ! Ind_BldPitch      - The column in OL_Filename that contains the blade pitch input in rad
 0                   ! Ind_GenTq         - The column in OL_Filename that contains the generator torque in Nm
 0                   ! Ind_YawRate       - The column in OL_Filename that contains the generator torque in Nm
+
+!------- Pitch Actuator Model -----------------------------------------------------
+3.140000000000        ! PA_CornerFreq     - Pitch actuator bandwidth/cut-off frequency [rad/s]
+0.707000000000        ! PA_Damping        - Pitch actuator damping ratio [-, unused if PA_Mode = 1]
+
+!------- External Controller Interface -----------------------------------------------------
+"unused"            ! DLL_FileName        - Name/location of the dynamic library in the Bladed-DLL format
+"unused"            ! DLL_InFile          - Name of input file sent to the DLL (-)
+"DISCON"            ! DLL_ProcName        - Name of procedure in DLL to be called (-) 
+
+!------- ZeroMQ Interface ---------------------------------------------------------
+"tcp://localhost:5555"            ! ZMQ_CommAddress     - Communication address for ZMQ server, (e.g. "tcp://localhost:5555") 
+2                   ! ZMQ_UpdatePeriod    - Call ZeroMQ every [x] seconds, [s]
diff --git a/ROSCO/Test_Cases/NREL-5MW/NRELOffshrBsline5MW_Onshore_ServoDyn.dat b/ROSCO/Test_Cases/NREL-5MW/NRELOffshrBsline5MW_Onshore_ServoDyn.dat
index a7f094dd0..86351f2d5 100644
--- a/ROSCO/Test_Cases/NREL-5MW/NRELOffshrBsline5MW_Onshore_ServoDyn.dat
+++ b/ROSCO/Test_Cases/NREL-5MW/NRELOffshrBsline5MW_Onshore_ServoDyn.dat
@@ -81,7 +81,7 @@ True          GenTiStp     - Method to stop the generator {T: timed using TimGen
 false         DLL_Ramp     - Whether a linear ramp should be used between DLL_DT time steps [introduces time shift when true] (flag) [used only with Bladed Interface]
      9999.9   BPCutoff     - Cutoff frequency for low-pass filter on blade pitch from DLL (Hz) [used only with Bladed Interface]
           0   NacYaw_North - Reference yaw angle of the nacelle when the upwind end points due North (deg) [used only with Bladed Interface]
-          0   Ptch_Cntrl   - Record 28: Use individual pitch control {0: collective pitch; 1: individual pitch control} (switch) [used only with Bladed Interface]
+          1   Ptch_Cntrl   - Record 28: Use individual pitch control {0: collective pitch; 1: individual pitch control} (switch) [used only with Bladed Interface]
           0   Ptch_SetPnt  - Record  5: Below-rated pitch angle set-point (deg) [used only with Bladed Interface]
           0   Ptch_Min     - Record  6: Minimum pitch angle (deg) [used only with Bladed Interface]
           0   Ptch_Max     - Record  7: Maximum pitch angle (deg) [used only with Bladed Interface]
diff --git a/ROSCO/Test_Cases/Wind/NoShr_3-15_50s.wnd b/ROSCO/Test_Cases/Wind/NoShr_3-15_50s.wnd
new file mode 100644
index 000000000..42b8a2d25
--- /dev/null
+++ b/ROSCO/Test_Cases/Wind/NoShr_3-15_50s.wnd
@@ -0,0 +1,17 @@
+!Wind file for input to OpenFAST. 
+!Time  Wind     Wind	Vert.       Horiz.      Vert.       LinV        Gust 
+!      Speed    Dir    Speed       Shear		Shear       Shear       Speed 
+0.00 5.00 0.00 0.00 0.00 0.00 0.00 0.00
+50.0 5.00 0.00 0.00 0.00 0.00 0.00 0.00
+50.1 6.00 0.00 0.00 0.00 0.00 0.00 0.00
+100.0 6.00 0.00 0.00 0.00 0.00 0.00 0.00
+100.1 7.00 0.00 0.00 0.00 0.00 0.00 0.00
+150.0 7.00 0.00 0.00 0.00 0.00 0.00 0.00
+150.1 8.00 0.00 0.00 0.00 0.00 0.00 0.00
+200.0 8.00 0.00 0.00 0.00 0.00 0.00 0.00
+200.1 9.00 0.00 0.00 0.00 0.00 0.00 0.00
+250.0 9.00 0.00 0.00 0.00 0.00 0.00 0.00
+250.1 10.00 0.00 0.00 0.00 0.00 0.00 0.00
+300.0 10.00 0.00 0.00 0.00 0.00 0.00 0.00
+300.1 11.00 0.00 0.00 0.00 0.00 0.00 0.00
+
diff --git a/ROSCO/Test_Cases/update_discons.py b/ROSCO/Test_Cases/update_discons.py
deleted file mode 100644
index 076387ee6..000000000
--- a/ROSCO/Test_Cases/update_discons.py
+++ /dev/null
@@ -1,54 +0,0 @@
-'''
-Update the DISCON.IN examples in the ROSCO repository using the Tune_Case/ .yaml files
-
-'''
-import os
-
-# ROSCO toolbox modules 
-from ROSCO_toolbox import controller as ROSCO_controller
-from ROSCO_toolbox import turbine as ROSCO_turbine
-from ROSCO_toolbox.utilities import write_DISCON
-from ROSCO_toolbox.inputs.validation import load_rosco_yaml
-
-test_dir = os.path.dirname(os.path.abspath(__file__))
-tune_dir = os.path.realpath(os.path.join(test_dir,'../Tune_Cases'))
-
-
-# Paths are relative to Tune_Case/ and Test_Case/
-tune_to_test_map = {
-    'NREL5MW.yaml': 'NREL-5MW/DISCON.IN',
-    'IEA15MW.yaml': 'IEA-15-240-RWT-UMaineSemi/DISCON-UMaineSemi.IN',
-    'BAR.yaml': 'BAR_10/BAR_10_DISCON.IN'
-}
-
-for tuning_yaml in tune_to_test_map:
-
-    # Load yaml file 
-    inps = load_rosco_yaml(os.path.join(tune_dir,tuning_yaml))
-    path_params         = inps['path_params']
-    turbine_params      = inps['turbine_params']
-    controller_params   = inps['controller_params']
-
-    # Instantiate turbine, controller, and file processing classes
-    turbine         = ROSCO_turbine.Turbine(turbine_params)
-    controller      = ROSCO_controller.Controller(controller_params)
-
-    # Load turbine data from OpenFAST and rotor performance text file
-    turbine.load_from_fast(
-        path_params['FAST_InputFile'],
-        os.path.join(tune_dir,path_params['FAST_directory']),
-        dev_branch=True,
-        rot_source='txt',
-        txt_filename=os.path.join(tune_dir,path_params['rotor_performance_filename'])
-        )
-
-    # Tune controller 
-    controller.tune_controller(turbine)
-
-    # Write parameter input file
-    discon_in_file = os.path.join(test_dir,tune_to_test_map[tuning_yaml])
-    write_DISCON(
-        turbine,controller,
-        param_file=discon_in_file, 
-        txt_filename=path_params['rotor_performance_filename'].split('/')[-1]
-        )
diff --git a/ROSCO/Test_Cases/update_rosco_discons.py b/ROSCO/Test_Cases/update_rosco_discons.py
new file mode 100644
index 000000000..ca08ea314
--- /dev/null
+++ b/ROSCO/Test_Cases/update_rosco_discons.py
@@ -0,0 +1,29 @@
+'''
+Update the DISCON.IN examples in the ROSCO repository using the Tune_Case/ .yaml files
+
+'''
+import os
+from ROSCO_toolbox.ofTools.fast_io.update_discons import update_discons
+
+
+if __name__=="__main__":
+
+    # paths relative to Tune_Case/ and Test_Case/
+    map_rel = {
+        'NREL5MW.yaml': 'NREL-5MW/DISCON.IN',
+        'IEA15MW.yaml': 'IEA-15-240-RWT-UMaineSemi/DISCON-UMaineSemi.IN',
+        'BAR.yaml': 'BAR_10/BAR_10_DISCON.IN'
+    }
+
+    # Directories
+    test_dir = os.path.dirname(os.path.abspath(__file__))
+    tune_dir = os.path.realpath(os.path.join(test_dir,'../Tune_Cases'))
+
+    # Make paths absolute
+    map_abs = {}
+    for tune, test in map_rel.items():
+        tune = os.path.join(tune_dir,tune)
+        map_abs[tune] = os.path.join(test_dir,test)
+
+    # Make discons    
+    update_discons(map_abs)
diff --git a/ROSCO/Tune_Cases/BAR.yaml b/ROSCO/Tune_Cases/BAR.yaml
index bb21281d6..e1d7c463d 100644
--- a/ROSCO/Tune_Cases/BAR.yaml
+++ b/ROSCO/Tune_Cases/BAR.yaml
@@ -6,7 +6,7 @@ path_params:
   FAST_InputFile: 'BAR_10.fst'                                                                # Name of *.fst file
   FAST_directory: '../Test_Cases/BAR_10'                     # Main OpenFAST model directory, where the *.fst lives 
   # Optional (but suggested...)
-  rotor_performance_filename:  '../Test_Cases/BAR_10/Cp_Ct_Cq.BAR_10.txt'                                # Filename for rotor performance text file (if it has been generated by ccblade already)
+  rotor_performance_filename:  'Cp_Ct_Cq.BAR_10.txt'                                # Filename for rotor performance text file (if it has been generated by ccblade already)
 
 # -------------------------------- TURBINE PARAMETERS ----------------------------------- 
 turbine_params:
diff --git a/ROSCO/Tune_Cases/IEA15MW.yaml b/ROSCO/Tune_Cases/IEA15MW.yaml
index 673716eba..fa2aeb579 100644
--- a/ROSCO/Tune_Cases/IEA15MW.yaml
+++ b/ROSCO/Tune_Cases/IEA15MW.yaml
@@ -6,7 +6,7 @@ path_params:
   FAST_InputFile: 'IEA-15-240-RWT-UMaineSemi.fst'                                                                # Name of *.fst file
   FAST_directory: '../Test_Cases/IEA-15-240-RWT-UMaineSemi'                     # Main OpenFAST model directory, where the *.fst lives 
   # Optional (but suggested...)
-  rotor_performance_filename:  '../Test_Cases/IEA-15-240-RWT-UMaineSemi/Cp_Ct_Cq.IEA15MW.txt'                                # Filename for rotor performance text file (if it has been generated by ccblade already)
+  rotor_performance_filename:  'Cp_Ct_Cq.IEA15MW.txt'                                # Filename for rotor performance text file (if it has been generated by ccblade already)
 
 # -------------------------------- TURBINE PARAMETERS ----------------------------------- 
 turbine_params:
@@ -25,7 +25,7 @@ turbine_params:
 #------------------------------- CONTROLLER PARAMETERS ----------------------------------
 controller_params:
   # Controller flags 
-  LoggingLevel:       1                     # {0: write no debug files, 1: write standard output .dbg-file, 2: write standard output .dbg-file and complete avrSWAP-array .dbg2-file
+  LoggingLevel:       2                     # {0: write no debug files, 1: write standard output .dbg-file, 2: write standard output .dbg-file and complete avrSWAP-array .dbg2-file
   F_LPFType:          2                     # {1: first-order low-pass filter, 2: second-order low-pass filter}, [rad/s] (currently filters generator speed and pitch control signals)
   F_NotchType:        0                     # Notch on the measured generator speed {0: disable, 1: enable} 
   IPC_ControlMode:    0                     # Turn Individual Pitch Control (IPC) for fatigue load reductions (pitch contribution) {0: off, 1: 1P reductions, 2: 1P+2P reductions}
@@ -38,6 +38,7 @@ controller_params:
   SD_Mode:            0                     # Shutdown mode {0: no shutdown procedure, 1: pitch to max pitch at shutdown}
   Fl_Mode:            2                     # Floating specific feedback mode {0: no nacelle velocity feedback, 1: nacelle velocity feedback}
   Flp_Mode:           0                     # Flap control mode {0: no flap control, 1: steady state flap angle, 2: Proportional flap control}
+  PA_Mode:            2                     # Pitch actuator mode {0 - not used, 1 - first order filter, 2 - second order filter}
   # Controller parameters       
   # U_pc:               [14]
   zeta_pc:            1.0                   # Pitch controller desired damping ratio [-]
@@ -50,3 +51,6 @@ controller_params:
   min_pitch:          0.0                   # Minimum pitch angle [rad], {default = 0 degrees}
   vs_minspd:          0.523598775           # Minimum rotor speed [rad/s], {default = 0 rad/s}
   ps_percent:         0.8                   # Percent peak shaving  [%, <= 1 ], {default = 80%}
+  PA_CornerFreq:      1.5708                  # Pitch actuator natural frequency [rad/s]
+  PA_Damping:         0.707                  # Pitch actuator natural frequency [rad/s]
+
diff --git a/ROSCO/Tune_Cases/IEA15MW_ExtInterface.yaml b/ROSCO/Tune_Cases/IEA15MW_ExtInterface.yaml
new file mode 100644
index 000000000..7abe10da5
--- /dev/null
+++ b/ROSCO/Tune_Cases/IEA15MW_ExtInterface.yaml
@@ -0,0 +1,59 @@
+#  --------------------- ROSCO controller tuning input file -------------------
+    # Written for use with ROSCO_Toolbox tuning procedures
+    # Turbine: IEA 15MW Reference Wind Turbine
+# ------------------------------ OpenFAST PATH DEFINITIONS ------------------------------
+path_params:
+  FAST_InputFile: 'IEA-15-240-RWT-UMaineSemi.fst'                                                                # Name of *.fst file
+  FAST_directory: '../Test_Cases/IEA-15-240-RWT-UMaineSemi'                     # Main OpenFAST model directory, where the *.fst lives 
+  # Optional (but suggested...)
+  rotor_performance_filename:  'Cp_Ct_Cq.IEA15MW.txt'                                # Filename for rotor performance text file (if it has been generated by ccblade already)
+
+# -------------------------------- TURBINE PARAMETERS ----------------------------------- 
+turbine_params:
+  rotor_inertia:      310619488.            # Rotor inertia [kg m^2], {Available in Elastodyn .sum file}
+  rated_rotor_speed:  0.7916813478          # Rated rotor speed [rad/s]
+  v_min:              3.                    # Cut-in wind speed [m/s] 
+  v_rated:            10.74                 # Rated wind speed [m/s]
+  v_max:              25.0                  # Cut-out wind speed [m/s], -- Does not need to be exact (JUST ASSUME FOR NOW)
+  max_pitch_rate:     0.0349                # Maximum blade pitch rate [rad/s]
+  max_torque_rate:    4500000.              # Maximum torque rate [Nm/s], {~1/4 VS_RtTq/s}
+  rated_power:        15000000.             # Rated Power [W]
+  bld_edgewise_freq:  4.0324                # Blade edgewise first natural frequency [rad/s]
+  bld_flapwise_freq:  3.4872                # Blade flapwise first natural frequency [rad/s]
+  TSR_operational:    9.0
+
+#------------------------------- CONTROLLER PARAMETERS ----------------------------------
+controller_params:
+  # Controller flags 
+  LoggingLevel:       2                     # {0: write no debug files, 1: write standard output .dbg-file, 2: write standard output .dbg-file and complete avrSWAP-array .dbg2-file
+  F_LPFType:          2                     # {1: first-order low-pass filter, 2: second-order low-pass filter}, [rad/s] (currently filters generator speed and pitch control signals)
+  F_NotchType:        0                     # Notch on the measured generator speed {0: disable, 1: enable} 
+  IPC_ControlMode:    0                     # Turn Individual Pitch Control (IPC) for fatigue load reductions (pitch contribution) {0: off, 1: 1P reductions, 2: 1P+2P reductions}
+  VS_ControlMode:     2                     # Generator torque control mode in above rated conditions {0: constant torque, 1: constant power, 2: TSR tracking PI control}
+  PC_ControlMode:     1                     # Blade pitch control mode {0: No pitch, fix to fine pitch, 1: active PI blade pitch control}
+  Y_ControlMode:      0                     # Yaw control mode {0: no yaw control, 1: yaw rate control, 2: yaw-by-IPC}
+  SS_Mode:            1                     # Setpoint Smoother mode {0: no setpoint smoothing, 1: introduce setpoint smoothing}
+  WE_Mode:            2                     # Wind speed estimator mode {0: One-second low pass filtered hub height wind speed, 1: Immersion and Invariance Estimator (Ortega et al.)}
+  PS_Mode:            3                     # Pitch saturation mode {0: no pitch saturation, 1: peak shaving, 2: Cp-maximizing pitch saturation, 3: peak shaving and Cp-maximizing pitch saturation}
+  SD_Mode:            0                     # Shutdown mode {0: no shutdown procedure, 1: pitch to max pitch at shutdown}
+  Fl_Mode:            1                     # Floating specific feedback mode {0: no nacelle velocity feedback, 1: nacelle velocity feedback}
+  Flp_Mode:           0                     # Flap control mode {0: no flap control, 1: steady state flap angle, 2: Proportional flap control}
+  Ext_Mode:           1                     # Use external controller
+  # Controller parameters       
+  U_pc:               [14,20]
+  zeta_pc:            [2.0,1.0]                  # Pitch controller desired damping ratio [-]
+  omega_pc:           [0.15,0.3]                  # Pitch controller desired natural frequency [rad/s]
+  interp_type:        sigma
+  zeta_vs:            0.85                   # Torque controller desired damping ratio [-]
+  omega_vs:           0.12                   # Torque controller desired natural frequency [rad/s]
+  twr_freq:           3.355 # for semi only!
+  ptfm_freq:          0.213 # for semi only!
+  # Optional - these can be defined, but do not need to be
+  min_pitch:          0.0                    # Minimum pitch angle [rad], {default = 0 degrees}
+  vs_minspd:          0.523598775            # Minimum rotor speed [rad/s], {default = 0 rad/s}
+  ps_percent:         0.8                    # Percent peak shaving  [%, <= 1 ], {default = 80%}
+
+  DISCON:
+    DLL_FileName:  /Users/dzalkind/Tools/ROSCO/ROSCO/build/libdiscon_copy.dylib
+    DLL_InFile:    /Users/dzalkind/Tools/ROSCO/Test_Cases/NREL-5MW/DISCON.IN
+    DLL_ProcName:  DISCON
\ No newline at end of file
diff --git a/ROSCO/Tune_Cases/IEA15MW_FOCAL.yaml b/ROSCO/Tune_Cases/IEA15MW_FOCAL.yaml
index 09a00dc97..06a36cf89 100644
--- a/ROSCO/Tune_Cases/IEA15MW_FOCAL.yaml
+++ b/ROSCO/Tune_Cases/IEA15MW_FOCAL.yaml
@@ -19,7 +19,8 @@ turbine_params:
   max_torque_rate:    4500000.              # Maximum torque rate [Nm/s], {~1/4 VS_RtTq/s}
   rated_power:        1.4780e+07             # Rated Power [W]
   TSR_operational:    7.49
-
+  bld_edgewise_freq:  4.0324                # Blade edgewise first natural frequency [rad/s]
+  bld_flapwise_freq:  3.4872                # Blade flapwise first natural frequency [rad/s]
 #------------------------------- CONTROLLER PARAMETERS ----------------------------------
 controller_params:
   # Controller flags 
diff --git a/ROSCO/Tune_Cases/NREL5MW.yaml b/ROSCO/Tune_Cases/NREL5MW.yaml
index 21f5acabb..9ad252dc0 100644
--- a/ROSCO/Tune_Cases/NREL5MW.yaml
+++ b/ROSCO/Tune_Cases/NREL5MW.yaml
@@ -6,7 +6,7 @@ path_params:
   FAST_InputFile: 'NREL-5MW.fst'                                                                # Name of *.fst file
   FAST_directory: '../Test_Cases/NREL-5MW'                     # Main OpenFAST model directory, where the *.fst lives 
   # Optional
-  rotor_performance_filename:  '../Test_Cases/NREL-5MW/Cp_Ct_Cq.NREL5MW.txt'                                # Filename for rotor performance text file (if it has been generated by ccblade already)
+  rotor_performance_filename:  'Cp_Ct_Cq.NREL5MW.txt'                                # Filename for rotor performance text file (if it has been generated by ccblade already)
 
 # -------------------------------- TURBINE PARAMETERS ----------------------------------- 
 turbine_params:
diff --git a/ROSCO/Tune_Cases/NREL5MW_PassThrough.yaml b/ROSCO/Tune_Cases/NREL5MW_PassThrough.yaml
new file mode 100644
index 000000000..2ad3be800
--- /dev/null
+++ b/ROSCO/Tune_Cases/NREL5MW_PassThrough.yaml
@@ -0,0 +1,64 @@
+--- #  ---------------------NREL Generic controller tuning input file -------------------
+    # Written for use with ROSCO_Toolbox tuning procedures
+    # Turbine: NREL 5MW Reference Wind Turbine
+# ------------------------------ OpenFAST PATH DEFINITIONS ------------------------------
+path_params:
+  FAST_InputFile: 'NREL-5MW.fst'                                                                # Name of *.fst file
+  FAST_directory: '../Test_Cases/NREL-5MW'                     # Main OpenFAST model directory, where the *.fst lives 
+  # Optional
+  rotor_performance_filename:  'Cp_Ct_Cq.NREL5MW.txt'                                # Filename for rotor performance text file (if it has been generated by ccblade already)
+
+# -------------------------------- TURBINE PARAMETERS ----------------------------------- 
+turbine_params:
+  rotor_inertia:      38677040.613          # Rotor inertia [kg m^2], {Available in Elastodyn .sum file}
+  rated_rotor_speed:  1.26711               # Rated rotor speed [rad/s]
+  v_min:              3.0                   # Cut-in wind speed [m/s] 
+  v_rated:            11.4                  # Rated wind speed [m/s]
+  v_max:              25.0                  # Cut-out wind speed [m/s], -- Does not need to be exact (JUST ASSUME FOR NOW)
+  max_pitch_rate:     0.1745                # Maximum blade pitch rate [rad/s]
+  max_torque_rate:    1500000.              # Maximum torque rate [Nm/s], {~1/4 VS_RtTq/s}
+  rated_power:        5000000.              # Rated Power [W]
+  bld_edgewise_freq:  6.2831853             # Blade edgewise first natural frequency [rad/s]
+  bld_flapwise_freq:  0.0                   # Blade flapwise first natural frequency [rad/s]
+  # Optional 
+  # TSR_operational:    # None                # Desired below-rated operational tip speed ratio (Cp-maximizing TSR is used if not defined)
+#------------------------------- CONTROLLER PARAMETERS ----------------------------------
+controller_params:
+  # Controller flags 
+  LoggingLevel:       2                     # {0: write no debug files, 1: write standard output .dbg-file, 2: write standard output .dbg-file and complete avrSWAP-array .dbg2-file
+  F_LPFType:          1                     # {1: first-order low-pass filter, 2: second-order low-pass filter}, [rad/s] (currently filters generator speed and pitch control signals)
+  F_NotchType:        0                     # Notch filter on generator speed and/or tower fore-aft motion (for floating) {0: disable, 1: generator speed, 2: tower-top fore-aft motion, 3: generator speed and tower-top fore-aft motion}
+  IPC_ControlMode:    0                     # Turn Individual Pitch Control (IPC) for fatigue load reductions (pitch contribution) {0: off, 1: 1P reductions, 2: 1P+2P reductions}
+  VS_ControlMode:     3                     # Generator torque control mode in above rated conditions {0: constant torque, 1: constant power, 2: TSR tracking PI control}
+  PC_ControlMode:     1                     # Blade pitch control mode {0: No pitch, fix to fine pitch, 1: active PI blade pitch control}
+  Y_ControlMode:      0                     # Yaw control mode {0: no yaw control, 1: yaw rate control, 2: yaw-by-IPC}
+  SS_Mode:            1                     # Setpoint Smoother mode {0: no setpoint smoothing, 1: introduce setpoint smoothing}
+  WE_Mode:            2                     # Wind speed estimator mode {0: One-second low pass filtered hub height wind speed, 1: Immersion and Invariance Estimator (Ortega et al.)}
+  PS_Mode:            1                     # Pitch saturation mode {0: no pitch saturation, 1: peak shaving, 2: Cp-maximizing pitch saturation, 3: peak shaving and Cp-maximizing pitch saturation}
+  SD_Mode:            0                     # Shutdown mode {0: no shutdown procedure, 1: pitch to max pitch at shutdown}
+  Fl_Mode:            0                     # Floating specific feedback mode {0: no nacelle velocity feedback, 1: nacelle velocity feedback}
+  Flp_Mode:           0                     # Flap control mode {0: no flap control, 1: steady state flap angle, 2: Proportional flap control}
+  # Controller parameters 
+  zeta_pc:            0.7                   # Pitch controller desired damping ratio [-]
+  omega_pc:           0.6                   # Pitch controller desired natural frequency [rad/s]
+  zeta_vs:            0.7                   # Torque controller desired damping ratio [-]
+  omega_vs:           0.15                   # Torque controller desired natural frequency [rad/s]
+  twr_freq:           0.4499                # Tower natural frequency [rad/s]
+  ptfm_freq:          0.2325                # Platform natural frequency [rad/s]  (OC4Hywind Parameters, here)   
+  # Optional         
+  ps_percent:         0.80                  # Percent peak shaving  [%, <= 1 ], {default = 80%}
+  sd_maxpit:          0.4363                # Maximum blade pitch angle to initiate shutdown [rad], {default = bld pitch at v_max}
+
+  DISCON:
+    IPC_ControlMode: 2
+    IPC_Vramp: [10,14]
+    IPC_IntSat: 0.2
+    IPC_KI: [1.e-8, 0]
+    IPC_aziOffset: [0.5236,0]
+    VS_MaxTq: 44170.325
+    PC_GS_n: 2
+    PC_GS_angles: [0, 0.4]
+    PC_GS_KP: [-.02, -0.003]
+    PC_GS_KI: [-.008, -.002]
+    PC_GS_KD: [0, 0]
+    PC_GS_TF: [0, 0] 
\ No newline at end of file
diff --git a/ROSCO/docs/source/api_change.rst b/ROSCO/docs/source/api_change.rst
index db4820010..9efdd8db4 100644
--- a/ROSCO/docs/source/api_change.rst
+++ b/ROSCO/docs/source/api_change.rst
@@ -9,17 +9,71 @@ The changes are tabulated according to the line number, and flag name.
 The line number corresponds to the resulting line number after all changes are implemented.
 Thus, be sure to implement each in order so that subsequent line numbers are correct.
 
-2.5.0 to ROSCO develop
+2.5.0 to 2.6.0
 -------------------------------
 IPC
 - A wind speed based soft cut-in using a sigma interpolation is added for the IPC controller
 
+Pitch Actuator
+- A first or second order filter can be used to model a pitch actuator
+
+External Control Interface
+- Call another control library from ROSCO
+
+ZeroMQ Interface
+- Communicate with an external routine via ZeroMQ. Only yaw control currently supported
+
+Updated yaw control
+- Filter wind direction with deadband, and yaw until direction error changes signs (https://iopscience.iop.org/article/10.1088/1742-6596/1037/3/032011)
+
 ====== =================    ======================================================================================================================================================================================================
-Line    Flag Name           Example Value
+New in ROSCO develop
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+Line    Input Name           Example Value
+====== =================    ======================================================================================================================================================================================================
+19     TD_Mode              0                    ! TD_Mode           - Tower damper mode {0: no tower damper, 1: feed back translational nacelle accelleration to pitch angle}
+22     PA_Mode              0                    ! PA_Mode           - Pitch actuator mode {0 - not used, 1 - first order filter, 2 - second order filter}
+23     Ext_Mode             0                    ! Ext_Mode          - External control mode {0 - not used, 1 - call external dynamic library}
+24     ZMQ_Mode             0                    ! ZMQ_Mode          - Fuse ZeroMQ interaface {0: unused, 1: Yaw Control}
+33     F_YawErr             0.17952              ! F_YawErr          - Low pass filter corner frequency for yaw controller [rad/s].
+54     IPC_Vramp            9.120000  11.400000  ! IPC_Vramp	     - Start and end wind speeds for cut-in ramp function. First entry: IPC inactive, second entry: IPC fully active. [m/s]
+96     Y_uSwitch            0.00000              ! Y_uSwitch		 - Wind speed to switch between Y_ErrThresh. If zero, only the first value of Y_ErrThresh is used [m/s]
+133    Empty Line           N/A
+134    PitchActSec          !------- Pitch Actuator Model -----------------------------------------------------
+135    PA_CornerFreq        3.140000000000       ! PA_CornerFreq     - Pitch actuator bandwidth/cut-off frequency [rad/s]
+136    PA_Damping           0.707000000000       ! PA_Damping        - Pitch actuator damping ratio [-, unused if PA_Mode = 1]
+137    Empty Line          
+138    ExtConSec            !------- External Controller Interface -----------------------------------------------------
+139    DLL_FileName         "unused"             ! DLL_FileName        - Name/location of the dynamic library in the Bladed-DLL format
+140    DLL_InFile           "unused"             ! DLL_InFile          - Name of input file sent to the DLL (-)
+141    DLL_ProcName         "DISCON"             ! DLL_ProcName        - Name of procedure in DLL to be called (-) 
+142    Empty Line          
+143    ZeroMQSec            !------- ZeroMQ Interface ---------------------------------------------------------
+144    ZMQ_CommAddress      "tcp://localhost:5555"   ! ZMQ_CommAddress     - Communication address for ZMQ server, (e.g. "tcp://localhost:5555")
+145    ZMQ_UpdatePeriod     2                        ! ZMQ_UpdatePeriod    - Call ZeroMQ every [x] seconds, [s]
 ====== =================    ======================================================================================================================================================================================================
-49     IPC_Vramp            9.120000  11.400000  ! IPC_Vramp	- Start and end wind speeds for cut-in ramp function. First entry: IPC inactive, second entry: IPC fully active. [m/s]
+
+====== =================    ======================================================================================================================================================================================================
+Modified in ROSCO develop
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+Line    Input Name           Example Value
+====== =================    ======================================================================================================================================================================================================
+97     Y_ErrThresh          4.000000  8.000000   ! Y_ErrThresh    - Yaw error threshold/deadband. Turbine begins to yaw when it passes this. If Y_uSwitch is zero, only the first value is used. [deg].
+98     Y_Rate               0.00870              ! Y_Rate			- Yaw rate [rad/s]
+99     Y_MErrSet            0.00000              ! Y_MErrSet		- Integrator saturation (maximum signal amplitude contribution to pitch from yaw-by-IPC), [rad]
 ====== =================    ======================================================================================================================================================================================================
 
+====== =================    ======================================================================================================================================================================================================
+Removed in ROSCO develop
+----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+Line    Input Name           Example Value
+====== =================    ======================================================================================================================================================================================================
+96      Y_IPn               1                   ! Y_IPC_n			- Number of controller gains (yaw-by-IPC)
+99      Y_IPC_omegaLP       0.20940             ! Y_IPC_omegaLP		- Low-pass filter corner frequency for the Yaw-by-IPC controller to filtering the yaw alignment error, [rad/s].
+100     Y_IPC_zetaLP        1.00000             ! Y_IPC_zetaLP		- Low-pass filter damping factor for the Yaw-by-IPC controller to filtering the yaw alignment error, [-].
+102     Y_omegaLPFast       0.20940             ! Y_omegaLPFast		- Corner frequency fast low pass filter, 1.0 [rad/s]
+103     Y_omegaLPSlow       0.10470             ! Y_omegaLPSlow		- Corner frequency slow low pass filter, 1/60 [rad/s]
+====== =================    ======================================================================================================================================================================================================
 
 ROSCO v2.4.1 to ROSCO v2.5.0
 -------------------------------
@@ -37,6 +91,7 @@ IPC
 ====== =================    ======================================================================================================================================================================================================
 Line    Flag Name           Example Value
 ====== =================    ======================================================================================================================================================================================================
+20     OL_Mode              0                   ! OL_Mode           - Open loop control mode {0: no open loop control, 1: open loop control vs. time, 2: open loop control vs. wind speed}
 27     F_WECornerFreq       0.20944             ! F_WECornerFreq    - Corner frequency (-3dB point) in the first order low pass filter for the wind speed estimate [rad/s].
 29     F_FlHighPassFreq     0.01000             ! F_FlHighPassFreq  - Natural frequency of first-order high-pass filter for nacelle fore-aft motion [rad/s].
 50     IPC_KP               0.000000  0.000000  ! IPC_KP			- Proportional gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
diff --git a/ROSCO/docs/source/install.rst b/ROSCO/docs/source/install.rst
index 3a506b278..29a71620a 100644
--- a/ROSCO/docs/source/install.rst
+++ b/ROSCO/docs/source/install.rst
@@ -22,7 +22,7 @@ Depending on what is needed, a user can choose to use just the ROSCO controller
    * - :ref:`full_rosco`
      - Best for users who wish to both use the controller and leverage the tools in the ROSCO toolbox
    * - :ref:`cmake_compile`
-     - Best for users who need to re-compile the source code often, plan to use non-released versions of ROSCO (including modified source code), or who simply want to compile the controller themselves so they have the full code available locally.
+     - Best for users who need to re-compile the source code often, plan to use non-released versions of ROSCO (including modified source code), or who simply want to compile the controller themselves so they have the full code available locally. This is necessary for users who wish to use the :ref:`zmq_build`.
 
 .. _roscotoolbox_table:
 .. list-table:: Methods for Installing the ROSCO Toolbox
@@ -122,6 +122,18 @@ Once the CMake and the required compilers are downloaded, the following code can
 
 This will generate a file called :code:`libdiscon.so` (Linux), :code:`libdiscon.dylib` (Mac), or :code:`libdisscon.dll` (Windows) in the :code:`/ROSCO/install/lib` directory. 
 
+.. _zmq_build:
+
+ZeroMQ Interface
+.....................
+There is an option to interface ROSCO with external inputs using `ZeroMQ <https://zeromq.org/>`_. Currently, only externally commanded yaw offset inputs are supported, though this could easily be expanded if the need arises. 
+
+To use the ZeroMQ interface, the software must be downloaded following the `ZeroMQ download instructions <https://zeromq.org/download/>`_. Using CMake, ROSCO can then be compiled to enable this interface by using the :code:`ZMQ_CLIENT:ON` flag with the :code:`cmake` command in :ref:`cmake_compile`:
+
+.. code-block:: bash
+
+  cmake -DZMQ_CLIENT:ON ..
+
 .. _rosco_toolbox_install:
 
 Installing the ROSCO toolbox
diff --git a/ROSCO/docs/source/toolbox_input.rst b/ROSCO/docs/source/toolbox_input.rst
index d041f0e34..a3b477292 100644
--- a/ROSCO/docs/source/toolbox_input.rst
+++ b/ROSCO/docs/source/toolbox_input.rst
@@ -9,7 +9,7 @@ ROSCO_Toolbox tuning .yaml
 Definition of inputs for ROSCO tuning procedure
 
 
-/Users/dzalkind/Tools/ROSCO/ROSCO_toolbox/inputs/toolbox_schema.
+toolbox_schema.
 
 
 
@@ -201,6 +201,15 @@ controller_params
     *Minimum* = 0    *Maximum* = 1
 
 
+:code:`TD_Mode` : Float
+    Tower damper mode (0- no tower damper, 1- feed back translational
+    nacelle accelleration to pitch angle
+
+    *Default* = 0
+
+    *Minimum* = 0    *Maximum* = 1
+
+
 :code:`Fl_Mode` : Float
     Floating specific feedback mode (0- no nacelle velocity feedback,
     1 - nacelle velocity feedback, 2 - nacelle pitching acceleration
@@ -230,6 +239,32 @@ controller_params
     *Minimum* = 0    *Maximum* = 2
 
 
+:code:`ZMQ_Mode` : Float
+    ZMQ Mode (0 - ZMQ Inteface, 1 - ZMQ for yaw control)
+
+    *Default* = 0
+
+    *Minimum* = 0    *Maximum* = 1
+
+
+:code:`PA_Mode` : Float
+    Pitch actuator mode {0 - not used, 1 - first order filter, 2 -
+    second order filter}
+
+    *Default* = 0
+
+    *Minimum* = 0    *Maximum* = 2
+
+
+:code:`Ext_Mode` : Float
+    External control mode {{0 - not used, 1 - call external dynamic
+    library}}
+
+    *Default* = 0
+
+    *Minimum* = 0    *Maximum* = 1
+
+
 :code:`U_pc` : Array of Floats
     List of wind speeds to schedule pitch control zeta and omega
 
@@ -363,6 +398,13 @@ controller_params
 
     *Minimum* = 0
 
+:code:`max_torque_factor` : Float
+    Maximum torque = rated torque * max_torque_factor
+
+    *Default* = 1.1
+
+    *Minimum* = 0
+
 :code:`IPC_Kp1p` : Float, s
     Proportional gain for IPC, 1P [s]
 
@@ -391,6 +433,13 @@ controller_params
 
     *Minimum* = 0
 
+:code:`IPC_Vramp` : Array of Floats
+    wind speeds for IPC cut-in sigma function [m/s]
+
+    *Default* = [0.0, 0.0]
+
+    *Minimum* = 0.0
+
 
 
 filter_params
@@ -433,6 +482,13 @@ filter_params
 
     *Minimum* = 0
 
+:code:`f_yawerr` : Float, rad/s
+    Low pass filter corner frequency for yaw controller [rad/
+
+    *Default* = 0.17952
+
+    *Minimum* = 0
+
 :code:`f_sd_cornerfreq` : Float, rad
     Cutoff Frequency for first order low-pass filter for blade pitch
     angle [rad/s], {default = 0.41888 ~ time constant of 15s}
@@ -475,6 +531,384 @@ open_loop
 
     *Default* = 0
 
+:code:`PA_CornerFreq` : Float, rad/s
+    Pitch actuator natural frequency [rad/s]
+
+    *Default* = 3.14
+
+    *Minimum* = 0
+
+:code:`PA_Damping` : Float
+    Pitch actuator damping ratio [-]
+
+    *Default* = 0.707
+
+    *Minimum* = 0
+
+
+
+DISCON
+########################################
+
+
+These are pass-through parameters for the DISCON.IN file.  Use with caution.
+
+:code:`LoggingLevel` : Float
+    (0- write no debug files, 1- write standard output .dbg-file, 2-
+    write standard output .dbg-file and complete avrSWAP-array
+    .dbg2-file)
+
+:code:`F_LPFType` : Float
+    1- first-order low-pass filter, 2- second-order low-pass filter
+    (currently filters generator speed and pitch control signals
+
+:code:`F_NotchType` : Float
+    Notch on the measured generator speed and/or tower fore-aft motion
+    (for floating) (0- disable, 1- generator speed, 2- tower-top fore-
+    aft motion, 3- generator speed and tower-top fore-aft motion)
+
+:code:`IPC_ControlMode` : Float
+    Turn Individual Pitch Control (IPC) for fatigue load reductions
+    (pitch contribution) (0- off, 1- 1P reductions, 2- 1P+2P
+    reductions)
+
+:code:`VS_ControlMode` : Float
+    Generator torque control mode in above rated conditions (0-
+    constant torque, 1- constant power, 2- TSR tracking PI control
+    with constant torque, 3- TSR tracking PI control with constant
+    power)
+
+:code:`PC_ControlMode` : Float
+    Blade pitch control mode (0- No pitch, fix to fine pitch, 1-
+    active PI blade pitch control)
+
+:code:`Y_ControlMode` : Float
+    Yaw control mode (0- no yaw control, 1- yaw rate control, 2- yaw-
+    by-IPC)
+
+:code:`SS_Mode` : Float
+    Setpoint Smoother mode (0- no setpoint smoothing, 1- introduce
+    setpoint smoothing)
+
+:code:`WE_Mode` : Float
+    Wind speed estimator mode (0- One-second low pass filtered hub
+    height wind speed, 1- Immersion and Invariance Estimator, 2-
+    Extended Kalman Filter)
+
+:code:`PS_Mode` : Float
+    Pitch saturation mode (0- no pitch saturation, 1- implement pitch
+    saturation)
+
+:code:`SD_Mode` : Float
+    Shutdown mode (0- no shutdown procedure, 1- pitch to max pitch at
+    shutdown)
+
+:code:`Fl_Mode` : Float
+    Floating specific feedback mode (0- no nacelle velocity feedback,
+    1- feed back translational velocity, 2- feed back rotational
+    veloicty)
+
+:code:`Flp_Mode` : Float
+    Flap control mode (0- no flap control, 1- steady state flap angle,
+    2- Proportional flap control)
+
+:code:`F_LPFCornerFreq` : Float, rad/s
+    Corner frequency (-3dB point) in the low-pass filters,
+
+:code:`F_LPFDamping` : Float
+    Damping coefficient (used only when F_FilterType = 2 [-]
+
+:code:`F_NotchCornerFreq` : Float, rad/s
+    Natural frequency of the notch filter,
+
+:code:`F_NotchBetaNumDen` : Array of Floats
+    Two notch damping values (numerator and denominator, resp) -
+    determines the width and depth of the notch, [-]
+
+:code:`F_SSCornerFreq` : Float, rad/s.
+    Corner frequency (-3dB point) in the first order low pass filter
+    for the setpoint smoother,
+
+:code:`F_WECornerFreq` : Float, rad/s.
+    Corner frequency (-3dB point) in the first order low pass filter
+    for the wind speed estimate
+
+:code:`F_FlCornerFreq` : Array of Floats
+    Natural frequency and damping in the second order low pass filter
+    of the tower-top fore-aft motion for floating feedback control
+
+:code:`F_FlHighPassFreq` : Float, rad/s
+    Natural frequency of first-order high-pass filter for nacelle
+    fore-aft motion
+
+:code:`F_FlpCornerFreq` : Array of Floats
+    Corner frequency and damping in the second order low pass filter
+    of the blade root bending moment for flap control
+
+:code:`PC_GS_n` : Float
+    Amount of gain-scheduling table entries
+
+:code:`PC_GS_angles` : Array of Floats
+    Gain-schedule table- pitch angles
+
+:code:`PC_GS_KP` : Array of Floats
+    Gain-schedule table- pitch controller kp gains
+
+:code:`PC_GS_KI` : Array of Floats
+    Gain-schedule table- pitch controller ki gains
+
+:code:`PC_GS_KD` : Array of Floats
+    Gain-schedule table- pitch controller kd gains
+
+:code:`PC_GS_TF` : Array of Floats
+    Gain-schedule table- pitch controller tf gains (derivative filter)
+
+:code:`PC_MaxPit` : Float, rad
+    Maximum physical pitch limit,
+
+:code:`PC_MinPit` : Float, rad
+    Minimum physical pitch limit,
+
+:code:`PC_MaxRat` : Float, rad/s.
+    Maximum pitch rate (in absolute value) in pitch controller
+
+:code:`PC_MinRat` : Float, rad/s.
+    Minimum pitch rate (in absolute value) in pitch controller
+
+:code:`PC_RefSpd` : Float, rad/s.
+    Desired (reference) HSS speed for pitch controller
+
+:code:`PC_FinePit` : Float, rad
+    Record 5- Below-rated pitch angle set-point
+
+:code:`PC_Switch` : Float, rad
+    Angle above lowest minimum pitch angle for switch
+
+:code:`IPC_IntSat` : Float, rad
+    Integrator saturation (maximum signal amplitude contribution to
+    pitch from IPC)
+
+:code:`IPC_KP` : Array of Floats
+    Proportional gain for the individual pitch controller- first
+    parameter for 1P reductions, second for 2P reductions, [-]
+
+:code:`IPC_KI` : Array of Floats
+    Integral gain for the individual pitch controller- first parameter
+    for 1P reductions, second for 2P reductions, [-]
+
+:code:`IPC_aziOffset` : Array of Floats
+    Phase offset added to the azimuth angle for the individual pitch
+    controller
+
+:code:`IPC_CornerFreqAct` : Float, rad/s
+    Corner frequency of the first-order actuators model, to induce a
+    phase lag in the IPC signal (0- Disable)
+
+:code:`VS_GenEff` : Float, percent
+    Generator efficiency mechanical power -> electrical power, should
+    match the efficiency defined in the generator properties
+
+:code:`VS_ArSatTq` : Float, Nm
+    Above rated generator torque PI control saturation
+
+:code:`VS_MaxRat` : Float, Nm/s
+    Maximum torque rate (in absolute value) in torque controller
+
+:code:`VS_MaxTq` : Float, Nm
+    Maximum generator torque in Region 3 (HSS side)
+
+:code:`VS_MinTq` : Float, Nm
+    Minimum generator torque (HSS side)
+
+:code:`VS_MinOMSpd` : Float, rad/s
+    Minimum generator speed
+
+:code:`VS_Rgn2K` : Float, Nm/(rad/s)^2
+    Generator torque constant in Region 2 (HSS side)
+
+:code:`VS_RtPwr` : Float, W
+    Wind turbine rated power
+
+:code:`VS_RtTq` : Float, Nm
+    Rated torque
+
+:code:`VS_RefSpd` : Float, rad/s
+    Rated generator speed
+
+:code:`VS_n` : Float
+    Number of generator PI torque controller gains
+
+:code:`VS_KP` : Float
+    Proportional gain for generator PI torque controller. (Only used
+    in the transitional 2.5 region if VS_ControlMode =/ 2)
+
+:code:`VS_KI` : Float, s
+    Integral gain for generator PI torque controller  (Only used in
+    the transitional 2.5 region if VS_ControlMode =/ 2)
+
+:code:`VS_TSRopt` : Float, rad
+    Power-maximizing region 2 tip-speed-ratio
+
+:code:`SS_VSGain` : Float
+    Variable speed torque controller setpoint smoother gain
+
+:code:`SS_PCGain` : Float
+    Collective pitch controller setpoint smoother gain
+
+:code:`WE_BladeRadius` : Float, m
+    Blade length (distance from hub center to blade tip)
+
+:code:`WE_CP_n` : Float
+    Amount of parameters in the Cp array
+
+:code:`WE_CP` : Array of Floats
+    Parameters that define the parameterized CP(lambda) function
+
+:code:`WE_Gamma` : Float, m/rad
+    Adaption gain of the wind speed estimator algorithm
+
+:code:`WE_GearboxRatio` : Float
+    Gearbox ratio, >=1
+
+:code:`WE_Jtot` : Float, kg m^2
+    Total drivetrain inertia, including blades, hub and casted
+    generator inertia to LSS
+
+:code:`WE_RhoAir` : Float, kg m^-3
+    Air density
+
+:code:`PerfFileName` : String
+    File containing rotor performance tables (Cp,Ct,Cq) (absolute path
+    or relative to this file)
+
+:code:`PerfTableSize` : Float
+    Size of rotor performance tables, first number refers to number of
+    blade pitch angles, second number referse to number of tip-speed
+    ratios
+
+:code:`WE_FOPoles_N` : Float
+    Number of first-order system poles used in EKF
+
+:code:`WE_FOPoles_v` : Array of Floats
+    Wind speeds corresponding to first-order system poles
+
+:code:`WE_FOPoles` : Array of Floats
+    First order system poles
+
+:code:`Y_ErrThresh` : Float, rad^2 s
+    Yaw error threshold. Turbine begins to yaw when it passes this
+
+:code:`Y_IPC_IntSat` : Float, rad
+    Integrator saturation (maximum signal amplitude contribution to
+    pitch from yaw-by-IPC)
+
+:code:`Y_IPC_n` : Float
+    Number of controller gains (yaw-by-IPC)
+
+:code:`Y_IPC_KP` : Float
+    Yaw-by-IPC proportional controller gain Kp
+
+:code:`Y_IPC_KI` : Float
+    Yaw-by-IPC integral controller gain Ki
+
+:code:`Y_IPC_omegaLP` : Float, rad/s.
+    Low-pass filter corner frequency for the Yaw-by-IPC controller to
+    filtering the yaw alignment error
+
+:code:`Y_IPC_zetaLP` : Float
+    Low-pass filter damping factor for the Yaw-by-IPC controller to
+    filtering the yaw alignment error.
+
+:code:`Y_MErrSet` : Float, rad
+    Yaw alignment error, set point
+
+:code:`Y_omegaLPFast` : Float, rad/s
+    Corner frequency fast low pass filter, 1.0
+
+:code:`Y_omegaLPSlow` : Float, rad/s
+    Corner frequency slow low pass filter, 1/60
+
+:code:`Y_Rate` : Float, rad/s
+    Yaw rate
+
+:code:`FA_KI` : Float, rad s/m
+    Integral gain for the fore-aft tower damper controller, -1 = off /
+    >0 = on
+
+:code:`FA_HPFCornerFreq` : Float, rad/s
+    Corner frequency (-3dB point) in the high-pass filter on the fore-
+    aft acceleration signal
+
+:code:`FA_IntSat` : Float, rad
+    Integrator saturation (maximum signal amplitude contribution to
+    pitch from FA damper)
+
+:code:`PS_BldPitchMin_N` : Float
+    Number of values in minimum blade pitch lookup table (should equal
+    number of values in PS_WindSpeeds and PS_BldPitchMin)
+
+:code:`PS_WindSpeeds` : Array of Floats
+    Wind speeds corresponding to minimum blade pitch angles
+
+:code:`PS_BldPitchMin` : Array of Floats
+    Minimum blade pitch angles
+
+:code:`SD_MaxPit` : Float, rad
+    Maximum blade pitch angle to initiate shutdown
+
+:code:`SD_CornerFreq` : Float, rad/s
+    Cutoff Frequency for first order low-pass filter for blade pitch
+    angle
+
+:code:`Fl_Kp` : Float, s
+    Nacelle velocity proportional feedback gain
+
+:code:`Flp_Angle` : Float, rad
+    Initial or steady state flap angle
+
+:code:`Flp_Kp` : Float, s
+    Blade root bending moment proportional gain for flap control
+
+:code:`Flp_Ki` : Float
+    Flap displacement integral gain for flap control
+
+:code:`Flp_MaxPit` : Float, rad
+    Maximum (and minimum) flap pitch angle
+
+:code:`OL_Filename` : String
+    Input file with open loop timeseries (absolute path or relative to
+    this file)
+
+:code:`Ind_Breakpoint` : Float
+    The column in OL_Filename that contains the breakpoint (time if
+    OL_Mode = 1)
+
+:code:`Ind_BldPitch` : Float
+    The column in OL_Filename that contains the blade pitch input in
+    rad
+
+:code:`Ind_GenTq` : Float
+    The column in OL_Filename that contains the generator torque in Nm
+
+:code:`Ind_YawRate` : Float
+    The column in OL_Filename that contains the generator torque in Nm
+
+:code:`DLL_FileName` : String
+    Name/location of the dynamic library {.dll [Windows] or .so
+    [Linux]} in the Bladed-DLL format
+
+    *Default* = unused
+
+:code:`DLL_InFile` : String
+    Name of input file sent to the DLL
+
+    *Default* = unused
+
+:code:`DLL_ProcName` : String
+    Name of procedure in DLL to be called
+
+    *Default* = DISCON
+
 
 
 linmodel_tuning
diff --git a/ROSCO/environment.yml b/ROSCO/environment.yml
index 4195d0e30..d90d51659 100644
--- a/ROSCO/environment.yml
+++ b/ROSCO/environment.yml
@@ -13,3 +13,6 @@ dependencies:
   - cmake
   - pyparsing==2.4.7 
   - control
+  - pyzmq
+  - mpi4py
+  - treon
diff --git a/ROSCO/setup.py b/ROSCO/setup.py
index aa4a94c3a..ee6816479 100644
--- a/ROSCO/setup.py
+++ b/ROSCO/setup.py
@@ -36,7 +36,7 @@
 EMAIL = 'nikhar.abbas@nrel.gov'
 AUTHOR = 'NREL, National Wind Technology Center'
 REQUIRES_PYTHON = '>=3.4'
-VERSION = '2.5.0'
+VERSION = '2.6.0'
 
 # These packages are required for all of the code to be executed. 
 # - Maybe you can get away with older versions...
diff --git a/WISDEM/wisdem/glue_code/gc_LoadInputs.py b/WISDEM/wisdem/glue_code/gc_LoadInputs.py
index 72cd9bb32..2e5d3250f 100644
--- a/WISDEM/wisdem/glue_code/gc_LoadInputs.py
+++ b/WISDEM/wisdem/glue_code/gc_LoadInputs.py
@@ -1,5 +1,4 @@
 import numpy as np
-
 import wisdem.inputs as sch
 
 
diff --git a/WISDEM/wisdem/glue_code/gc_RunTools.py b/WISDEM/wisdem/glue_code/gc_RunTools.py
index 7e36a7deb..0f5c2e186 100644
--- a/WISDEM/wisdem/glue_code/gc_RunTools.py
+++ b/WISDEM/wisdem/glue_code/gc_RunTools.py
@@ -2,6 +2,7 @@
 
 import openmdao.api as om
 import matplotlib.pyplot as plt
+import numpy as np
 
 from wisdem.commonse.mpi_tools import MPI
 
diff --git a/WISDEM/wisdem/glue_code/gc_WT_DataStruc.py b/WISDEM/wisdem/glue_code/gc_WT_DataStruc.py
index 07f4c2556..82b9c653d 100644
--- a/WISDEM/wisdem/glue_code/gc_WT_DataStruc.py
+++ b/WISDEM/wisdem/glue_code/gc_WT_DataStruc.py
@@ -3,9 +3,8 @@
 
 import numpy as np
 import openmdao.api as om
-from scipy.interpolate import PchipInterpolator, interp1d
-
 import wisdem.moorpy.MoorProps as mp
+from scipy.interpolate import PchipInterpolator, interp1d
 from wisdem.ccblade.Polar import Polar
 from wisdem.commonse.utilities import arc_length, arc_length_deriv
 from wisdem.rotorse.parametrize_rotor import ComputeReynolds, ParametrizeBladeAero, ParametrizeBladeStruct
diff --git a/WISDEM/wisdem/glue_code/gc_WT_InitModel.py b/WISDEM/wisdem/glue_code/gc_WT_InitModel.py
index 737916e2c..cea23c797 100644
--- a/WISDEM/wisdem/glue_code/gc_WT_InitModel.py
+++ b/WISDEM/wisdem/glue_code/gc_WT_InitModel.py
@@ -1047,6 +1047,10 @@ def assign_floating_values(wt_opt, modeling_options, floating, opt_options):
             "outfitting_factor"
         ]
 
+        wt_opt[f"floating.memgrp{idx}.outfitting_factor"] = floating["members"][i]["internal_structure"][
+            "outfitting_factor"
+        ]
+
         istruct = floating["members"][i]["internal_structure"]
         if "bulkhead" in istruct:
             wt_opt[f"floating.memgrp{idx}.bulkhead_grid"] = istruct["bulkhead"]["thickness"]["grid"]
diff --git a/WISDEM/wisdem/test/test_fixed_bottomse/test_monopile.py b/WISDEM/wisdem/test/test_fixed_bottomse/test_monopile.py
index 094fe1d09..cfd27f669 100644
--- a/WISDEM/wisdem/test/test_fixed_bottomse/test_monopile.py
+++ b/WISDEM/wisdem/test/test_fixed_bottomse/test_monopile.py
@@ -133,6 +133,11 @@ def setUp(self):
         self.modeling_options["WISDEM"]["TowerSE"] = {}
         self.modeling_options["WISDEM"]["TowerSE"]["n_height"] = 0
 
+        self.modeling_options["flags"] = {}
+        self.modeling_options["flags"]["tower"] = False
+        self.modeling_options["WISDEM"]["TowerSE"] = {}
+        self.modeling_options["WISDEM"]["TowerSE"]["n_height"] = 0
+
     def testProblemFixedPile(self):
         self.modeling_options["WISDEM"]["FixedBottomSE"]["n_height"] = 3
         self.modeling_options["WISDEM"]["FixedBottomSE"]["n_layers"] = 1
diff --git a/environment.yml b/environment.yml
index 832263347..00e7fd51f 100644
--- a/environment.yml
+++ b/environment.yml
@@ -37,6 +37,7 @@ dependencies:
   - pytest-cov
   - python-benedict
   - pyyaml
+  - pyzmq
   - qdldl-python
   - ruamel_yaml
   - scipy
@@ -56,6 +57,7 @@ dependencies:
   - sphinxcontrib-serializinghtml
   - statsmodels
   - swig
+  - pyzmq
 #  - versioneer
   - pip:
     - fatpack
diff --git a/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-Monopile/DISCON-Monopile.IN b/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-Monopile/DISCON-Monopile.IN
index d62379d30..178c26003 100644
--- a/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-Monopile/DISCON-Monopile.IN
+++ b/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-Monopile/DISCON-Monopile.IN
@@ -1,8 +1,8 @@
-! Controller parameter input file for the IEA-15-240-RWT-UMaineSemi wind turbine
-!    - File written using ROSCO version 2.4.1 controller tuning logic on 12/13/21
+! Controller parameter input file for the IEA-15-240-RWT-Monopile wind turbine
+!    - File written using ROSCO version 2.6.0 controller tuning logic on 08/10/22
 
 !------- DEBUG ------------------------------------------------------------
-1                   ! LoggingLevel		- {0: write no debug files, 1: write standard output .dbg-file, 2: write standard output .dbg-file and complete avrSWAP-array .dbg2-file}
+1                   ! LoggingLevel		- {0: write no debug files, 1: write standard output .dbg-file, 2: LoggingLevel 1 + ROSCO LocalVars (.dbg2) 3: LoggingLevel 2 + complete avrSWAP-array (.dbg3)}
 
 !------- CONTROLLER FLAGS -------------------------------------------------
 2                   ! F_LPFType			- {1: first-order low-pass filter, 2: second-order low-pass filter}, [rad/s] (currently filters generator speed and pitch control signals
@@ -16,25 +16,30 @@
 1                   ! PS_Mode           - Pitch saturation mode {0: no pitch saturation, 1: implement pitch saturation}
 0                   ! SD_Mode           - Shutdown mode {0: no shutdown procedure, 1: pitch to max pitch at shutdown}
 0                   ! Fl_Mode           - Floating specific feedback mode {0: no nacelle velocity feedback, 1: feed back translational velocity, 2: feed back rotational veloicty}
-0                   ! Flp_Mode          - Flap control mode {0: no flap control, 1: steady state flap angle, 2: Proportional flap control}
-0                   ! OL_Mode           - Open loop control mode {0: no open loop control, 1: open loop control vs. time, 2: open loop control vs. wind speed}
+0                   ! TD_Mode           - Tower damper mode {0: no tower damper, 1: feed back translational nacelle accelleration to pitch angle}
+0                   ! Flp_Mode          - Flap control mode {0: no flap control, 1: steady state flap angle, 2: Proportional flap control, 2: Cyclic (1P) flap control}
+0                   ! OL_Mode           - Open loop control mode {0: no open loop control, 1: open loop control vs. time}
+0                   ! PA_Mode           - Pitch actuator mode {0 - not used, 1 - first order filter, 2 - second order filter}
+0                   ! Ext_Mode          - External control mode {0 - not used, 1 - call external dynamic library}
+0                   ! ZMQ_Mode          - Fuse ZeroMQ interaface {0: unused, 1: Yaw Control}
 
 !------- FILTERS ----------------------------------------------------------
 1.00810             ! F_LPFCornerFreq	- Corner frequency (-3dB point) in the low-pass filters, [rad/s]
 0.70000             ! F_LPFDamping		- Damping coefficient {used only when F_FilterType = 2} [-]
-3.35500             ! F_NotchCornerFreq	- Natural frequency of the notch filter, [rad/s]
-0.000000  0.250000   ! F_NotchBetaNumDen	- Two notch damping values (numerator and denominator, resp) - determines the width and depth of the notch, [-]
+0.00000             ! F_NotchCornerFreq	- Natural frequency of the notch filter, [rad/s]
+0.000000  0.250000  ! F_NotchBetaNumDen	- Two notch damping values (numerator and denominator, resp) - determines the width and depth of the notch, [-]
 0.62830             ! F_SSCornerFreq    - Corner frequency (-3dB point) in the first order low pass filter for the setpoint smoother, [rad/s].
 0.20944             ! F_WECornerFreq    - Corner frequency (-3dB point) in the first order low pass filter for the wind speed estimate [rad/s].
-0.213000  1.000000   ! F_FlCornerFreq    - Natural frequency and damping in the second order low pass filter of the tower-top fore-aft motion for floating feedback control [rad/s, -].
+0.17952             ! F_YawErr          - Low pass filter corner frequency for yaw controller [rad/s].
+0.000000  1.000000  ! F_FlCornerFreq    - Natural frequency and damping in the second order low pass filter of the tower-top fore-aft motion for floating feedback control [rad/s, -].
 0.01042             ! F_FlHighPassFreq    - Natural frequency of first-order high-pass filter for nacelle fore-aft motion [rad/s].
-1.162400  1.000000   ! F_FlpCornerFreq   - Corner frequency and damping in the second order low pass filter of the blade root bending moment for flap control [rad/s, -].
+10.461600  1.000000  ! F_FlpCornerFreq   - Corner frequency and damping in the second order low pass filter of the blade root bending moment for flap control [rad/s, -].
 
 !------- BLADE PITCH CONTROL ----------------------------------------------
 30                  ! PC_GS_n			- Amount of gain-scheduling table entries
-0.060198  0.087134  0.108448  0.126859  0.143398  0.158602  0.172796  0.186189  0.198928  0.211120  0.222850  0.234173  0.245147  0.255807  0.266195  0.276325  0.286231  0.295933  0.305445  0.314779  0.323952  0.332975  0.341858  0.350608  0.359236  0.367748  0.376149  0.384447  0.392644  0.400744                ! PC_GS_angles	    - Gain-schedule table: pitch angles [rad].
--1.269046  -1.104681  -0.968551  -0.853956  -0.756161  -0.671723  -0.598081  -0.533289  -0.475842  -0.424558  -0.378496  -0.336896  -0.299141  -0.264721  -0.233212  -0.204261  -0.177567  -0.152878  -0.129975  -0.108671  -0.088804  -0.070234  -0.052838  -0.036508  -0.021148  -0.006676  0.006985  0.019900  0.032129  0.043725                ! PC_GS_KP		- Gain-schedule table: pitch controller kp gains [s].
--0.131850  -0.119461  -0.109200  -0.100563  -0.093191  -0.086827  -0.081276  -0.076393  -0.072063  -0.068197  -0.064725  -0.061590  -0.058744  -0.056150  -0.053775  -0.051593  -0.049581  -0.047720  -0.045993  -0.044388  -0.042890  -0.041490  -0.040179  -0.038948  -0.037791  -0.036700  -0.035670  -0.034697  -0.033775  -0.032901                ! PC_GS_KI		- Gain-schedule table: pitch controller ki gains [-].
+0.063081  0.089712  0.110788  0.128983  0.145330  0.160362  0.174400  0.187648  0.200253  0.212321  0.223938  0.235164  0.246041  0.256619  0.266925  0.276983  0.286823  0.296463  0.305915  0.315196  0.324319  0.333297  0.342137  0.350848  0.359439  0.367917  0.376286  0.384554  0.392725  0.400800                ! PC_GS_angles	    - Gain-schedule table: pitch angles [rad].
+-1.231595  -1.067968  -0.932904  -0.819524  -0.722995  -0.639820  -0.567407  -0.503795  -0.447470  -0.397248  -0.352189  -0.311535  -0.274671  -0.241089  -0.210371  -0.182164  -0.156174  -0.132149  -0.109873  -0.089163  -0.069859  -0.051823  -0.034933  -0.019084  -0.004183  0.009853  0.023098  0.035616  0.047466  0.058699                ! PC_GS_KP		- Gain-schedule table: pitch controller kp gains [s].
+-0.128059  -0.115813  -0.105705  -0.097219  -0.089995  -0.083770  -0.078350  -0.073589  -0.069374  -0.065615  -0.062243  -0.059200  -0.056441  -0.053928  -0.051629  -0.049518  -0.047573  -0.045775  -0.044108  -0.042558  -0.041113  -0.039763  -0.038499  -0.037313  -0.036198  -0.035147  -0.034156  -0.033219  -0.032332  -0.031491                ! PC_GS_KI		- Gain-schedule table: pitch controller ki gains [-].
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000                ! PC_GS_KD			- Gain-schedule table: pitch controller kd gains
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000                ! PC_GS_TF			- Gain-schedule table: pitch controller tf gains (derivative filter)
 1.570000000000      ! PC_MaxPit			- Maximum physical pitch limit, [rad].
@@ -46,27 +51,27 @@
 0.017450000000      ! PC_Switch			- Angle above lowest minimum pitch angle for switch, [rad]
 
 !------- INDIVIDUAL PITCH CONTROL -----------------------------------------
-7.360000  9.200000  ! IPC_Vramp		- Start and end wind speeds for cut-in ramp function. First entry: IPC inactive, second entry: IPC fully active. [m/s]
-0.0                 ! IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from IPC), [rad]
-0.000000  0.000000  ! IPC_KP			- Proportional gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
-0.000000  0.000000  ! IPC_KI			- Integral gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
+8.472000  10.590000  ! IPC_Vramp		- Start and end wind speeds for cut-in ramp function. First entry: IPC inactive, second entry: IPC fully active. [m/s]
+0.3                 ! IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from IPC), [rad]
+0.000e+00 0.000e+00 ! IPC_KP			- Proportional gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
+0.000e+00 0.000e+00 ! IPC_KI			- Integral gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
 0.000000  0.000000  ! IPC_aziOffset		- Phase offset added to the azimuth angle for the individual pitch controller, [rad]. 
 0.0                 ! IPC_CornerFreqAct - Corner frequency of the first-order actuators model, to induce a phase lag in the IPC signal {0: Disable}, [rad/s]
 
 !------- VS TORQUE CONTROL ------------------------------------------------
-96.55000000000      ! VS_GenEff			- Generator efficiency mechanical power -> electrical power, [should match the efficiency defined in the generator properties!], [%]
-19624046.66639      ! VS_ArSatTq		- Above rated generator torque PI control saturation, [Nm]
+95.75600000000      ! VS_GenEff			- Generator efficiency mechanical power -> electrical power, [should match the efficiency defined in the generator properties!], [%]
+19786767.46773      ! VS_ArSatTq		- Above rated generator torque PI control saturation, [Nm]
 4500000.000000      ! VS_MaxRat			- Maximum torque rate (in absolute value) in torque controller, [Nm/s].
-21586451.33303      ! VS_MaxTq			- Maximum generator torque in Region 3 (HSS side), [Nm].
+21765444.21450      ! VS_MaxTq			- Maximum generator torque in Region 3 (HSS side), [Nm].
 0.000000000000      ! VS_MinTq			- Minimum generator torque (HSS side), [Nm].
 0.523600000000      ! VS_MinOMSpd		- Minimum generator speed [rad/s]
-33732396.86935      ! VS_Rgn2K			- Generator torque constant in Region 2 (HSS side), [Nm/(rad/s)^2]
+35117967.63602      ! VS_Rgn2K			- Generator torque constant in Region 2 (HSS side), [Nm/(rad/s)^2]
 15000000.00000      ! VS_RtPwr			- Wind turbine rated power [W]
-19624046.66639      ! VS_RtTq			- Rated torque, [Nm].
-0.791680000000      ! VS_RefSpd			- Rated generator speed [rad/s]
+19786767.46773      ! VS_RtTq			- Rated torque, [Nm].
+0.787880000000      ! VS_RefSpd			- Rated generator speed [rad/s]
 1                   ! VS_n				- Number of generator PI torque controller gains
--38676765.16943      ! VS_KP				- Proportional gain for generator PI torque controller [-]. (Only used in the transitional 2.5 region if VS_ControlMode =/ 2)
--4588245.18720      ! VS_KI				- Integral gain for generator PI torque controller [s]. (Only used in the transitional 2.5 region if VS_ControlMode =/ 2)
+-37617700.48978      ! VS_KP				- Proportional gain for generator PI torque controller [-]. (Only used in the transitional 2.5 region if VS_ControlMode =/ 2)
+-4547763.30240      ! VS_KI				- Integral gain for generator PI torque controller [s]. (Only used in the transitional 2.5 region if VS_ControlMode =/ 2)
 9.00                ! VS_TSRopt			- Power-maximizing region 2 tip-speed-ratio [rad].
 
 !------- SETPOINT SMOOTHER ---------------------------------------------
@@ -74,48 +79,44 @@
 0.00100             ! SS_PCGain         - Collective pitch controller setpoint smoother gain, [-].
 
 !------- WIND SPEED ESTIMATOR ---------------------------------------------
-120.000             ! WE_BladeRadius	- Blade length (distance from hub center to blade tip), [m]
+120.970             ! WE_BladeRadius	- Blade length (distance from hub center to blade tip), [m]
 1                   ! WE_CP_n			- Amount of parameters in the Cp array
-0              ! WE_CP - Parameters that define the parameterized CP(lambda) function
+0.0                 ! WE_CP - Parameters that define the parameterized CP(lambda) function
 0.0          		! WE_Gamma			- Adaption gain of the wind speed estimator algorithm [m/rad]
 1.0                 ! WE_GearboxRatio	- Gearbox ratio [>=1],  [-]
-318628138.00000      ! WE_Jtot			- Total drivetrain inertia, including blades, hub and casted generator inertia to LSS, [kg m^2]
+315816896.00000       ! WE_Jtot			- Total drivetrain inertia, including blades, hub and casted generator inertia to LSS, [kg m^2]
 1.225               ! WE_RhoAir			- Air density, [kg m^-3]
 "../IEA-15-240-RWT/Cp_Ct_Cq.IEA15MW.txt"      ! PerfFileName      - File containing rotor performance tables (Cp,Ct,Cq) (absolute path or relative to this file)
 104     72          ! PerfTableSize     - Size of rotor performance tables, first number refers to number of blade pitch angles, second number referse to number of tip-speed ratios
 60                  ! WE_FOPoles_N      - Number of first-order system poles used in EKF
-3.0000 3.2669 3.5338 3.8007 4.0676 4.3345 4.6014 4.8683 5.1352 5.4021 5.6690 5.9359 6.2028 6.4697 6.7366 7.0034 7.2703 7.5372 7.8041 8.0710 8.3379 8.6048 8.8717 9.1386 9.4055 9.6724 9.9393 10.2062 10.4731 10.7400 11.2153 11.6907 12.1660 12.6413 13.1167 13.5920 14.0673 14.5427 15.0180 15.4933 15.9687 16.4440 16.9193 17.3947 17.8700 18.3453 18.8207 19.2960 19.7713 20.2467 20.7220 21.1973 21.6727 22.1480 22.6233 23.0987 23.5740 24.0493 24.5247 25.0000               ! WE_FOPoles_v      - Wind speeds corresponding to first-order system poles [m/s]
--0.02366483 -0.02577018 -0.02787553 -0.02998089 -0.03208624 -0.03419159 -0.03629695 -0.03840230 -0.04050765 -0.04261301 -0.04471836 -0.04682371 -0.04892907 -0.05103442 -0.05313977 -0.05524513 -0.05735048 -0.05945583 -0.06156119 -0.06366654 -0.06577189 -0.06787725 -0.06998260 -0.07208795 -0.07419331 -0.07629866 -0.07840401 -0.08050937 -0.08261472 -0.07921295 -0.05363855 -0.05601196 -0.06228621 -0.07050010 -0.08000290 -0.09048156 -0.10174863 -0.11365942 -0.12615707 -0.13917960 -0.15270665 -0.16669562 -0.18106141 -0.19588503 -0.21106595 -0.22664340 -0.24258187 -0.25886648 -0.27550565 -0.29248186 -0.30978187 -0.32738614 -0.34531736 -0.36353035 -0.38202289 -0.40082810 -0.41987220 -0.43918834 -0.45876266 -0.47857910               ! WE_FOPoles        - First order system poles [1/s]
+3.0000 3.2617 3.5234 3.7852 4.0469 4.3086 4.5703 4.8321 5.0938 5.3555 5.6172 5.8790 6.1407 6.4024 6.6641 6.9259 7.1876 7.4493 7.7110 7.9728 8.2345 8.4962 8.7579 9.0197 9.2814 9.5431 9.8048 10.0666 10.3283 10.5900 11.0703 11.5507 12.0310 12.5113 12.9917 13.4720 13.9523 14.4327 14.9130 15.3933 15.8737 16.3540 16.8343 17.3147 17.7950 18.2753 18.7557 19.2360 19.7163 20.1967 20.6770 21.1573 21.6377 22.1180 22.5983 23.0787 23.5590 24.0393 24.5197 25.0000               ! WE_FOPoles_v      - Wind speeds corresponding to first-order system poles [m/s]
+-0.02465686 -0.02680796 -0.02895906 -0.03111016 -0.03326126 -0.03541236 -0.03756345 -0.03971455 -0.04186565 -0.04401675 -0.04616785 -0.04831895 -0.05047005 -0.05262115 -0.05477224 -0.05692334 -0.05907444 -0.06122554 -0.06337664 -0.06552774 -0.06767884 -0.06982993 -0.07198103 -0.07413213 -0.07628323 -0.07843433 -0.08058543 -0.08273653 -0.08488763 -0.08437319 -0.05533848 -0.05796693 -0.06461721 -0.07329774 -0.08334692 -0.09440458 -0.10626594 -0.11880543 -0.13196165 -0.14566704 -0.15985206 -0.17448133 -0.18958161 -0.20511150 -0.22101041 -0.23735050 -0.25401237 -0.27107323 -0.28848244 -0.30624857 -0.32435142 -0.34277122 -0.36152503 -0.38058409 -0.39991468 -0.41959174 -0.43951785 -0.45972013 -0.48018912 -0.50091553               ! WE_FOPoles        - First order system poles [1/s]
 
 !------- YAW CONTROL ------------------------------------------------------
-0.13960             ! Y_ErrThresh		- Yaw error threshold. Turbine begins to yaw when it passes this. [rad^2 s]
+0.00000             ! Y_uSwitch		- Wind speed to switch between Y_ErrThresh. If zero, only the first value of Y_ErrThresh is used [m/s]
+4.000000  8.000000  ! Y_ErrThresh    - Yaw error threshold/deadband. Turbine begins to yaw when it passes this. If Y_uSwitch is zero, only the first value is used. [deg].
+0.00870             ! Y_Rate			- Yaw rate [rad/s]
+0.00000             ! Y_MErrSet		- Integrator saturation (maximum signal amplitude contribution to pitch from yaw-by-IPC), [rad]
 0.00000             ! Y_IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from yaw-by-IPC), [rad]
-1                   ! Y_IPC_n			- Number of controller gains (yaw-by-IPC)
 0.00000             ! Y_IPC_KP			- Yaw-by-IPC proportional controller gain Kp
 0.00000             ! Y_IPC_KI			- Yaw-by-IPC integral controller gain Ki
-0.20940             ! Y_IPC_omegaLP		- Low-pass filter corner frequency for the Yaw-by-IPC controller to filtering the yaw alignment error, [rad/s].
-1.00000             ! Y_IPC_zetaLP		- Low-pass filter damping factor for the Yaw-by-IPC controller to filtering the yaw alignment error, [-].
-0.00000             ! Y_MErrSet			- Yaw alignment error, set point [rad]
-0.20940             ! Y_omegaLPFast		- Corner frequency fast low pass filter, 1.0 [rad/s]
-0.10470             ! Y_omegaLPSlow		- Corner frequency slow low pass filter, 1/60 [rad/s]
-0.00520             ! Y_Rate			- Yaw rate [rad/s]
 
 !------- TOWER FORE-AFT DAMPING -------------------------------------------
--1                  ! FA_KI				- Integral gain for the fore-aft tower damper controller, -1 = off / >0 = on [rad s/m] - !NJA - Make this a flag
+-1.00000            ! FA_KI				- Integral gain for the fore-aft tower damper controller [rad s/m]
 0.0                 ! FA_HPFCornerFreq	- Corner frequency (-3dB point) in the high-pass filter on the fore-aft acceleration signal [rad/s]
 0.0                 ! FA_IntSat			- Integrator saturation (maximum signal amplitude contribution to pitch from FA damper), [rad]
 
 !------- MINIMUM PITCH SATURATION -------------------------------------------
-44                  ! PS_BldPitchMin_N  - Number of values in minimum blade pitch lookup table (should equal number of values in PS_WindSpeeds and PS_BldPitchMin)
-3.00 3.50 4.00 4.50 5.00 5.50 6.00 6.50 7.00 7.50 8.00 8.50 9.00 9.50 10.00 10.50 11.09 11.59 12.09 12.59 13.09 13.59 14.09 14.59 15.09 15.59 16.09 16.59 17.09 17.59 18.09 18.59 19.09 19.59 20.09 20.59 21.09 21.59 22.09 22.59 23.09 23.59 24.09 24.59               ! PS_WindSpeeds     - Wind speeds corresponding to minimum blade pitch angles [m/s]
-0.06981317 0.06981317 0.06544985 0.05672320 0.04799655 0.03490659 0.02617994 0.00872665 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000               ! PS_BldPitchMin    - Minimum blade pitch angles [rad]
+60                  ! PS_BldPitchMin_N  - Number of values in minimum blade pitch lookup table (should equal number of values in PS_WindSpeeds and PS_BldPitchMin)
+3.0000 3.2617 3.5234 3.7852 4.0469 4.3086 4.5703 4.8321 5.0938 5.3555 5.6172 5.8790 6.1407 6.4024 6.6641 6.9259 7.1876 7.4493 7.7110 7.9728 8.2345 8.4962 8.7579 9.0197 9.2814 9.5431 9.8048 10.0666 10.3283 10.5900 11.0703 11.5507 12.0310 12.5113 12.9917 13.4720 13.9523 14.4327 14.9130 15.3933 15.8737 16.3540 16.8343 17.3147 17.7950 18.2753 18.7557 19.2360 19.7163 20.1967 20.6770 21.1573 21.6377 22.1180 22.5983 23.0787 23.5590 24.0393 24.5197 25.0000               ! PS_WindSpeeds     - Wind speeds corresponding to minimum blade pitch angles [m/s]
+0.06961065 0.06925563 0.06822909 0.06634689 0.06368433 0.06026600 0.05631111 0.05184111 0.04683045 0.04122597 0.03506593 0.02849272 0.02166279 0.01463583 0.00752783 0.00045316 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000               ! PS_BldPitchMin    - Minimum blade pitch angles [rad]
 
 !------- SHUTDOWN -----------------------------------------------------------
 0.698100000000      ! SD_MaxPit         - Maximum blade pitch angle to initiate shutdown, [rad]
 0.418880000000      ! SD_CornerFreq     - Cutoff Frequency for first order low-pass filter for blade pitch angle, [rad/s]
 
 !------- Floating -----------------------------------------------------------
--9.37521000000      ! Fl_Kp             - Nacelle pitching proportional feedback gain [s]
+0.000000000000      ! Fl_Kp             - Nacelle velocity proportional feedback gain [s]
 
 !------- FLAP ACTUATION -----------------------------------------------------
 0.000000000000      ! Flp_Angle         - Initial or steady state flap angle [rad]
@@ -129,3 +130,16 @@
 0                   ! Ind_BldPitch      - The column in OL_Filename that contains the blade pitch input in rad
 0                   ! Ind_GenTq         - The column in OL_Filename that contains the generator torque in Nm
 0                   ! Ind_YawRate       - The column in OL_Filename that contains the generator torque in Nm
+
+!------- Pitch Actuator Model -----------------------------------------------------
+3.140000000000        ! PA_CornerFreq     - Pitch actuator bandwidth/cut-off frequency [rad/s]
+0.707000000000        ! PA_Damping        - Pitch actuator damping ratio [-, unused if PA_Mode = 1]
+
+!------- External Controller Interface -----------------------------------------------------
+"unused"            ! DLL_FileName        - Name/location of the dynamic library in the Bladed-DLL format
+"unused"            ! DLL_InFile          - Name of input file sent to the DLL (-)
+"DISCON"            ! DLL_ProcName        - Name of procedure in DLL to be called (-) 
+
+!------- ZeroMQ Interface ---------------------------------------------------------
+"tcp://localhost:5555"            ! ZMQ_CommAddress     - Communication address for ZMQ server, (e.g. "tcp://localhost:5555") 
+2                   ! ZMQ_UpdatePeriod    - Call ZeroMQ every [x] seconds, [s]
diff --git a/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-Monopile/IEA15MW-Monopile.yaml b/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-Monopile/IEA15MW-Monopile.yaml
new file mode 100644
index 000000000..3bcb04d42
--- /dev/null
+++ b/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-Monopile/IEA15MW-Monopile.yaml
@@ -0,0 +1,49 @@
+#  --------------------- ROSCO controller tuning input file -------------------
+    # Written for use with ROSCO_Toolbox tuning procedures
+    # Turbine: IEA 15MW Reference Wind Turbine
+# ------------------------------ OpenFAST PATH DEFINITIONS ------------------------------
+path_params:
+  FAST_InputFile: 'IEA-15-240-RWT-Monopile.fst'                                                                # Name of *.fst file
+  FAST_directory: '.'                     # Main OpenFAST model directory, where the *.fst lives 
+  rotor_performance_filename:  '../IEA-15-240-RWT/Cp_Ct_Cq.IEA15MW.txt'     
+# -------------------------------- TURBINE PARAMETERS ----------------------------------- 
+turbine_params:
+  rotor_inertia:      310619488.            # Rotor inertia [kg m^2], {Available in Elastodyn .sum file}
+  rated_rotor_speed:  0.7916813478          # Rated rotor speed [rad/s]
+  v_min:              3.                    # Cut-in wind speed [m/s] 
+  v_rated:            10.59                 # Rated wind speed [m/s]
+  v_max:              25.0                  # Cut-out wind speed [m/s], -- Does not need to be exact (JUST ASSUME FOR NOW)
+  max_pitch_rate:     0.0349                # Maximum blade pitch rate [rad/s]
+  max_torque_rate:    4500000.              # Maximum torque rate [Nm/s], {~1/4 VS_RtTq/s}
+  rated_power:        15000000.             # Rated Power [W]
+  bld_edgewise_freq:  4.0324                # Blade edgewise first natural frequency [rad/s]
+  bld_flapwise_freq:  3.4872                # Blade flapwise first natural frequency [rad/s]
+  TSR_operational:    9.0
+
+#------------------------------- CONTROLLER PARAMETERS ----------------------------------
+controller_params:
+  # Controller flags 
+  LoggingLevel:       1                     # {0: write no debug files, 1: write standard output .dbg-file, 2: write standard output .dbg-file and complete avrSWAP-array .dbg2-file
+  F_LPFType:          2                     # {1: first-order low-pass filter, 2: second-order low-pass filter}, [rad/s] (currently filters generator speed and pitch control signals)
+  F_NotchType:        0                     # Notch on the measured generator speed {0: disable, 1: enable} 
+  IPC_ControlMode:    0                     # Turn Individual Pitch Control (IPC) for fatigue load reductions (pitch contribution) {0: off, 1: 1P reductions, 2: 1P+2P reductions}
+  VS_ControlMode:     2                     # Generator torque control mode in above rated conditions {0: constant torque, 1: constant power, 2: TSR tracking PI control}
+  PC_ControlMode:     1                     # Blade pitch control mode {0: No pitch, fix to fine pitch, 1: active PI blade pitch control}
+  Y_ControlMode:      0                     # Yaw control mode {0: no yaw control, 1: yaw rate control, 2: yaw-by-IPC}
+  SS_Mode:            1                     # Setpoint Smoother mode {0: no setpoint smoothing, 1: introduce setpoint smoothing}
+  WE_Mode:            2                     # Wind speed estimator mode {0: One-second low pass filtered hub height wind speed, 1: Immersion and Invariance Estimator (Ortega et al.)}
+  PS_Mode:            2                     # Pitch saturation mode {0: no pitch saturation, 1: peak shaving, 2: Cp-maximizing pitch saturation, 3: peak shaving and Cp-maximizing pitch saturation}
+  SD_Mode:            0                     # Shutdown mode {0: no shutdown procedure, 1: pitch to max pitch at shutdown}
+  Fl_Mode:            0                     # Floating specific feedback mode {0: no nacelle velocity feedback, 1: nacelle velocity feedback}
+  Flp_Mode:           0                     # Flap control mode {0: no flap control, 1: steady state flap angle, 2: Proportional flap control}
+  # Controller parameters       
+  zeta_pc:            1.0                   # Pitch controller desired damping ratio [-]
+  omega_pc:           0.2                  # Pitch controller desired natural frequency [rad/s]
+  zeta_vs:            0.85                   # Torque controller desired damping ratio [-]
+  omega_vs:           0.12                 # Torque controller desired natural frequency [rad/s]
+  # Optional - these can be defined, but do not need to be
+  min_pitch:          0.0                   # Minimum pitch angle [rad], {default = 0 degrees}
+  vs_minspd:          0.523598775           # Minimum rotor speed [rad/s], {default = 0 rad/s}
+  twr_freq:           3.355 # for semi only!
+  ptfm_freq:          0.213 # for semi only!
+ 
\ No newline at end of file
diff --git a/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-UMaineSemi/DISCON-UMaineSemi.IN b/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-UMaineSemi/DISCON-UMaineSemi.IN
index 305169c3b..4ca32b732 100644
--- a/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-UMaineSemi/DISCON-UMaineSemi.IN
+++ b/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-UMaineSemi/DISCON-UMaineSemi.IN
@@ -1,8 +1,8 @@
 ! Controller parameter input file for the IEA-15-240-RWT-UMaineSemi wind turbine
-!    - File written using ROSCO version 2.4.1 controller tuning logic on 12/13/21
+!    - File written using ROSCO version 2.6.0 controller tuning logic on 08/10/22
 
 !------- DEBUG ------------------------------------------------------------
-1                   ! LoggingLevel		- {0: write no debug files, 1: write standard output .dbg-file, 2: write standard output .dbg-file and complete avrSWAP-array .dbg2-file}
+1                   ! LoggingLevel		- {0: write no debug files, 1: write standard output .dbg-file, 2: LoggingLevel 1 + ROSCO LocalVars (.dbg2) 3: LoggingLevel 2 + complete avrSWAP-array (.dbg3)}
 
 !------- CONTROLLER FLAGS -------------------------------------------------
 2                   ! F_LPFType			- {1: first-order low-pass filter, 2: second-order low-pass filter}, [rad/s] (currently filters generator speed and pitch control signals
@@ -16,25 +16,30 @@
 1                   ! PS_Mode           - Pitch saturation mode {0: no pitch saturation, 1: implement pitch saturation}
 0                   ! SD_Mode           - Shutdown mode {0: no shutdown procedure, 1: pitch to max pitch at shutdown}
 2                   ! Fl_Mode           - Floating specific feedback mode {0: no nacelle velocity feedback, 1: feed back translational velocity, 2: feed back rotational veloicty}
-0                   ! Flp_Mode          - Flap control mode {0: no flap control, 1: steady state flap angle, 2: Proportional flap control}
-0                   ! OL_Mode           - Open loop control mode {0: no open loop control, 1: open loop control vs. time, 2: open loop control vs. wind speed}
+0                   ! TD_Mode           - Tower damper mode {0: no tower damper, 1: feed back translational nacelle accelleration to pitch angle}
+0                   ! Flp_Mode          - Flap control mode {0: no flap control, 1: steady state flap angle, 2: Proportional flap control, 2: Cyclic (1P) flap control}
+0                   ! OL_Mode           - Open loop control mode {0: no open loop control, 1: open loop control vs. time}
+0                   ! PA_Mode           - Pitch actuator mode {0 - not used, 1 - first order filter, 2 - second order filter}
+0                   ! Ext_Mode          - External control mode {0 - not used, 1 - call external dynamic library}
+0                   ! ZMQ_Mode          - Fuse ZeroMQ interaface {0: unused, 1: Yaw Control}
 
 !------- FILTERS ----------------------------------------------------------
 1.00810             ! F_LPFCornerFreq	- Corner frequency (-3dB point) in the low-pass filters, [rad/s]
 0.70000             ! F_LPFDamping		- Damping coefficient {used only when F_FilterType = 2} [-]
 3.35500             ! F_NotchCornerFreq	- Natural frequency of the notch filter, [rad/s]
-0.000000  0.250000   ! F_NotchBetaNumDen	- Two notch damping values (numerator and denominator, resp) - determines the width and depth of the notch, [-]
+0.000000  0.250000  ! F_NotchBetaNumDen	- Two notch damping values (numerator and denominator, resp) - determines the width and depth of the notch, [-]
 0.62830             ! F_SSCornerFreq    - Corner frequency (-3dB point) in the first order low pass filter for the setpoint smoother, [rad/s].
 0.20944             ! F_WECornerFreq    - Corner frequency (-3dB point) in the first order low pass filter for the wind speed estimate [rad/s].
-0.213000  1.000000   ! F_FlCornerFreq    - Natural frequency and damping in the second order low pass filter of the tower-top fore-aft motion for floating feedback control [rad/s, -].
+0.17952             ! F_YawErr          - Low pass filter corner frequency for yaw controller [rad/s].
+0.213000  1.000000  ! F_FlCornerFreq    - Natural frequency and damping in the second order low pass filter of the tower-top fore-aft motion for floating feedback control [rad/s, -].
 0.01042             ! F_FlHighPassFreq    - Natural frequency of first-order high-pass filter for nacelle fore-aft motion [rad/s].
-1.162400  1.000000   ! F_FlpCornerFreq   - Corner frequency and damping in the second order low pass filter of the blade root bending moment for flap control [rad/s, -].
+10.461600  1.000000  ! F_FlpCornerFreq   - Corner frequency and damping in the second order low pass filter of the blade root bending moment for flap control [rad/s, -].
 
 !------- BLADE PITCH CONTROL ----------------------------------------------
 30                  ! PC_GS_n			- Amount of gain-scheduling table entries
-0.060198  0.087134  0.108448  0.126859  0.143398  0.158602  0.172796  0.186189  0.198928  0.211120  0.222850  0.234173  0.245147  0.255807  0.266195  0.276325  0.286231  0.295933  0.305445  0.314779  0.323952  0.332975  0.341858  0.350608  0.359236  0.367748  0.376149  0.384447  0.392644  0.400744                ! PC_GS_angles	    - Gain-schedule table: pitch angles [rad].
--1.269046  -1.104681  -0.968551  -0.853956  -0.756161  -0.671723  -0.598081  -0.533289  -0.475842  -0.424558  -0.378496  -0.336896  -0.299141  -0.264721  -0.233212  -0.204261  -0.177567  -0.152878  -0.129975  -0.108671  -0.088804  -0.070234  -0.052838  -0.036508  -0.021148  -0.006676  0.006985  0.019900  0.032129  0.043725                ! PC_GS_KP		- Gain-schedule table: pitch controller kp gains [s].
--0.131850  -0.119461  -0.109200  -0.100563  -0.093191  -0.086827  -0.081276  -0.076393  -0.072063  -0.068197  -0.064725  -0.061590  -0.058744  -0.056150  -0.053775  -0.051593  -0.049581  -0.047720  -0.045993  -0.044388  -0.042890  -0.041490  -0.040179  -0.038948  -0.037791  -0.036700  -0.035670  -0.034697  -0.033775  -0.032901                ! PC_GS_KI		- Gain-schedule table: pitch controller ki gains [-].
+0.060958  0.087644  0.108771  0.127010  0.143396  0.158459  0.172521  0.185791  0.198414  0.210498  0.222123  0.233346  0.244229  0.254796  0.265094  0.275146  0.284969  0.294590  0.304025  0.313288  0.322391  0.331346  0.340162  0.348847  0.357410  0.365858  0.374197  0.382432  0.390570  0.398615                ! PC_GS_angles	    - Gain-schedule table: pitch angles [rad].
+-1.217101  -1.057529  -0.925422  -0.814252  -0.719406  -0.637534  -0.566146  -0.503349  -0.447679  -0.397989  -0.353364  -0.313068  -0.276499  -0.243164  -0.212651  -0.184617  -0.158771  -0.134867  -0.112695  -0.092071  -0.072840  -0.054865  -0.038028  -0.022222  -0.007357  0.006650  0.019870  0.032368  0.044201  0.055422                ! PC_GS_KP		- Gain-schedule table: pitch controller kp gains [s].
+-0.126778  -0.114841  -0.104957  -0.096641  -0.089545  -0.083420  -0.078080  -0.073382  -0.069217  -0.065500  -0.062161  -0.059147  -0.056411  -0.053917  -0.051634  -0.049537  -0.047604  -0.045815  -0.044157  -0.042614  -0.041175  -0.039830  -0.038571  -0.037388  -0.036276  -0.035228  -0.034239  -0.033304  -0.032419  -0.031580                ! PC_GS_KI		- Gain-schedule table: pitch controller ki gains [-].
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000                ! PC_GS_KD			- Gain-schedule table: pitch controller kd gains
 0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000  0.000000                ! PC_GS_TF			- Gain-schedule table: pitch controller tf gains (derivative filter)
 1.570000000000      ! PC_MaxPit			- Maximum physical pitch limit, [rad].
@@ -46,27 +51,27 @@
 0.017450000000      ! PC_Switch			- Angle above lowest minimum pitch angle for switch, [rad]
 
 !------- INDIVIDUAL PITCH CONTROL -----------------------------------------
-7.360000  9.200000  ! IPC_Vramp		- Start and end wind speeds for cut-in ramp function. First entry: IPC inactive, second entry: IPC fully active. [m/s]
-0.1                 ! IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from IPC), [rad]
-0.000000  0.000000  ! IPC_KP			- Proportional gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
-0.000000  0.000000  ! IPC_KI			- Integral gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
+8.592000  10.740000  ! IPC_Vramp		- Start and end wind speeds for cut-in ramp function. First entry: IPC inactive, second entry: IPC fully active. [m/s]
+0.3                 ! IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from IPC), [rad]
+0.000e+00 0.000e+00 ! IPC_KP			- Proportional gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
+0.000e+00 0.000e+00 ! IPC_KI			- Integral gain for the individual pitch controller: first parameter for 1P reductions, second for 2P reductions, [-]
 0.000000  0.000000  ! IPC_aziOffset		- Phase offset added to the azimuth angle for the individual pitch controller, [rad]. 
 0.0                 ! IPC_CornerFreqAct - Corner frequency of the first-order actuators model, to induce a phase lag in the IPC signal {0: Disable}, [rad/s]
 
 !------- VS TORQUE CONTROL ------------------------------------------------
-96.55000000000      ! VS_GenEff			- Generator efficiency mechanical power -> electrical power, [should match the efficiency defined in the generator properties!], [%]
-19624046.66639      ! VS_ArSatTq		- Above rated generator torque PI control saturation, [Nm]
+95.75600000000      ! VS_GenEff			- Generator efficiency mechanical power -> electrical power, [should match the efficiency defined in the generator properties!], [%]
+19786767.46773      ! VS_ArSatTq		- Above rated generator torque PI control saturation, [Nm]
 4500000.000000      ! VS_MaxRat			- Maximum torque rate (in absolute value) in torque controller, [Nm/s].
-21586451.33303      ! VS_MaxTq			- Maximum generator torque in Region 3 (HSS side), [Nm].
+21765444.21450      ! VS_MaxTq			- Maximum generator torque in Region 3 (HSS side), [Nm].
 0.000000000000      ! VS_MinTq			- Minimum generator torque (HSS side), [Nm].
 0.523600000000      ! VS_MinOMSpd		- Minimum generator speed [rad/s]
-33732396.86935      ! VS_Rgn2K			- Generator torque constant in Region 2 (HSS side), [Nm/(rad/s)^2]
+35117967.63602      ! VS_Rgn2K			- Generator torque constant in Region 2 (HSS side), [Nm/(rad/s)^2]
 15000000.00000      ! VS_RtPwr			- Wind turbine rated power [W]
-19624046.66639      ! VS_RtTq			- Rated torque, [Nm].
+19786767.46773      ! VS_RtTq			- Rated torque, [Nm].
 0.791680000000      ! VS_RefSpd			- Rated generator speed [rad/s]
 1                   ! VS_n				- Number of generator PI torque controller gains
--38676765.16943      ! VS_KP				- Proportional gain for generator PI torque controller [-]. (Only used in the transitional 2.5 region if VS_ControlMode =/ 2)
--4588245.18720      ! VS_KI				- Integral gain for generator PI torque controller [s]. (Only used in the transitional 2.5 region if VS_ControlMode =/ 2)
+-37241773.75890      ! VS_KP				- Proportional gain for generator PI torque controller [-]. (Only used in the transitional 2.5 region if VS_ControlMode =/ 2)
+-4547763.30240      ! VS_KI				- Integral gain for generator PI torque controller [s]. (Only used in the transitional 2.5 region if VS_ControlMode =/ 2)
 9.00                ! VS_TSRopt			- Power-maximizing region 2 tip-speed-ratio [rad].
 
 !------- SETPOINT SMOOTHER ---------------------------------------------
@@ -74,48 +79,44 @@
 0.00100             ! SS_PCGain         - Collective pitch controller setpoint smoother gain, [-].
 
 !------- WIND SPEED ESTIMATOR ---------------------------------------------
-120.000             ! WE_BladeRadius	- Blade length (distance from hub center to blade tip), [m]
+120.970             ! WE_BladeRadius	- Blade length (distance from hub center to blade tip), [m]
 1                   ! WE_CP_n			- Amount of parameters in the Cp array
-0              ! WE_CP - Parameters that define the parameterized CP(lambda) function
+0.0                 ! WE_CP - Parameters that define the parameterized CP(lambda) function
 0.0          		! WE_Gamma			- Adaption gain of the wind speed estimator algorithm [m/rad]
 1.0                 ! WE_GearboxRatio	- Gearbox ratio [>=1],  [-]
-318628138.00000      ! WE_Jtot			- Total drivetrain inertia, including blades, hub and casted generator inertia to LSS, [kg m^2]
+315816896.00000       ! WE_Jtot			- Total drivetrain inertia, including blades, hub and casted generator inertia to LSS, [kg m^2]
 1.225               ! WE_RhoAir			- Air density, [kg m^-3]
-"../IEA-15-240-RWT/Cp_Ct_Cq.IEA15MW.txt"     ! PerfFileName      - File containing rotor performance tables (Cp,Ct,Cq) (absolute path or relative to this file)
+"../IEA-15-240-RWT/Cp_Ct_Cq.IEA15MW.txt"      ! PerfFileName      - File containing rotor performance tables (Cp,Ct,Cq) (absolute path or relative to this file)
 104     72          ! PerfTableSize     - Size of rotor performance tables, first number refers to number of blade pitch angles, second number referse to number of tip-speed ratios
 60                  ! WE_FOPoles_N      - Number of first-order system poles used in EKF
 3.0000 3.2669 3.5338 3.8007 4.0676 4.3345 4.6014 4.8683 5.1352 5.4021 5.6690 5.9359 6.2028 6.4697 6.7366 7.0034 7.2703 7.5372 7.8041 8.0710 8.3379 8.6048 8.8717 9.1386 9.4055 9.6724 9.9393 10.2062 10.4731 10.7400 11.2153 11.6907 12.1660 12.6413 13.1167 13.5920 14.0673 14.5427 15.0180 15.4933 15.9687 16.4440 16.9193 17.3947 17.8700 18.3453 18.8207 19.2960 19.7713 20.2467 20.7220 21.1973 21.6727 22.1480 22.6233 23.0987 23.5740 24.0493 24.5247 25.0000               ! WE_FOPoles_v      - Wind speeds corresponding to first-order system poles [m/s]
--0.02366483 -0.02577018 -0.02787553 -0.02998089 -0.03208624 -0.03419159 -0.03629695 -0.03840230 -0.04050765 -0.04261301 -0.04471836 -0.04682371 -0.04892907 -0.05103442 -0.05313977 -0.05524513 -0.05735048 -0.05945583 -0.06156119 -0.06366654 -0.06577189 -0.06787725 -0.06998260 -0.07208795 -0.07419331 -0.07629866 -0.07840401 -0.08050937 -0.08261472 -0.07921295 -0.05363855 -0.05601196 -0.06228621 -0.07050010 -0.08000290 -0.09048156 -0.10174863 -0.11365942 -0.12615707 -0.13917960 -0.15270665 -0.16669562 -0.18106141 -0.19588503 -0.21106595 -0.22664340 -0.24258187 -0.25886648 -0.27550565 -0.29248186 -0.30978187 -0.32738614 -0.34531736 -0.36353035 -0.38202289 -0.40082810 -0.41987220 -0.43918834 -0.45876266 -0.47857910               ! WE_FOPoles        - First order system poles [1/s]
+-0.02465686 -0.02685047 -0.02904408 -0.03123769 -0.03343130 -0.03562491 -0.03781853 -0.04001214 -0.04220575 -0.04439936 -0.04659297 -0.04878658 -0.05098019 -0.05317380 -0.05536741 -0.05756102 -0.05975463 -0.06194824 -0.06414185 -0.06633546 -0.06852907 -0.07072268 -0.07291629 -0.07510990 -0.07730351 -0.07949712 -0.08169074 -0.08388435 -0.08607796 -0.08367786 -0.05601496 -0.05845251 -0.06491969 -0.07343523 -0.08331020 -0.09419764 -0.10588646 -0.11825801 -0.13123772 -0.14476398 -0.15881875 -0.17327736 -0.18819599 -0.20358260 -0.21929818 -0.23545859 -0.25196259 -0.26884815 -0.28608407 -0.30367233 -0.32159721 -0.33983661 -0.35840660 -0.37728873 -0.39643034 -0.41591476 -0.43565664 -0.45565512 -0.47592625 -0.49646875               ! WE_FOPoles        - First order system poles [1/s]
 
 !------- YAW CONTROL ------------------------------------------------------
-0.13960             ! Y_ErrThresh		- Yaw error threshold. Turbine begins to yaw when it passes this. [rad^2 s]
+0.00000             ! Y_uSwitch		- Wind speed to switch between Y_ErrThresh. If zero, only the first value of Y_ErrThresh is used [m/s]
+4.000000  8.000000  ! Y_ErrThresh    - Yaw error threshold/deadband. Turbine begins to yaw when it passes this. If Y_uSwitch is zero, only the first value is used. [deg].
+0.00870             ! Y_Rate			- Yaw rate [rad/s]
+0.00000             ! Y_MErrSet		- Integrator saturation (maximum signal amplitude contribution to pitch from yaw-by-IPC), [rad]
 0.00000             ! Y_IPC_IntSat		- Integrator saturation (maximum signal amplitude contribution to pitch from yaw-by-IPC), [rad]
-1                   ! Y_IPC_n			- Number of controller gains (yaw-by-IPC)
 0.00000             ! Y_IPC_KP			- Yaw-by-IPC proportional controller gain Kp
 0.00000             ! Y_IPC_KI			- Yaw-by-IPC integral controller gain Ki
-0.20940             ! Y_IPC_omegaLP		- Low-pass filter corner frequency for the Yaw-by-IPC controller to filtering the yaw alignment error, [rad/s].
-1.00000             ! Y_IPC_zetaLP		- Low-pass filter damping factor for the Yaw-by-IPC controller to filtering the yaw alignment error, [-].
-0.00000             ! Y_MErrSet			- Yaw alignment error, set point [rad]
-0.20940             ! Y_omegaLPFast		- Corner frequency fast low pass filter, 1.0 [rad/s]
-0.10470             ! Y_omegaLPSlow		- Corner frequency slow low pass filter, 1/60 [rad/s]
-0.00520             ! Y_Rate			- Yaw rate [rad/s]
 
 !------- TOWER FORE-AFT DAMPING -------------------------------------------
--1                  ! FA_KI				- Integral gain for the fore-aft tower damper controller, -1 = off / >0 = on [rad s/m] - !NJA - Make this a flag
+-1.00000            ! FA_KI				- Integral gain for the fore-aft tower damper controller [rad s/m]
 0.0                 ! FA_HPFCornerFreq	- Corner frequency (-3dB point) in the high-pass filter on the fore-aft acceleration signal [rad/s]
 0.0                 ! FA_IntSat			- Integrator saturation (maximum signal amplitude contribution to pitch from FA damper), [rad]
 
 !------- MINIMUM PITCH SATURATION -------------------------------------------
 60                  ! PS_BldPitchMin_N  - Number of values in minimum blade pitch lookup table (should equal number of values in PS_WindSpeeds and PS_BldPitchMin)
 3.0000 3.2669 3.5338 3.8007 4.0676 4.3345 4.6014 4.8683 5.1352 5.4021 5.6690 5.9359 6.2028 6.4697 6.7366 7.0034 7.2703 7.5372 7.8041 8.0710 8.3379 8.6048 8.8717 9.1386 9.4055 9.6724 9.9393 10.2062 10.4731 10.7400 11.2153 11.6907 12.1660 12.6413 13.1167 13.5920 14.0673 14.5427 15.0180 15.4933 15.9687 16.4440 16.9193 17.3947 17.8700 18.3453 18.8207 19.2960 19.7713 20.2467 20.7220 21.1973 21.6727 22.1480 22.6233 23.0987 23.5740 24.0493 24.5247 25.0000               ! PS_WindSpeeds     - Wind speeds corresponding to minimum blade pitch angles [m/s]
-0.06961065 0.06916756 0.06801949 0.06592239 0.06303563 0.05939204 0.05520107 0.05047233 0.04511353 0.03915876 0.03265491 0.02578782 0.01866353 0.01138963 0.00409471 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00846242 0.02297908 0.03562095 0.04679173 0.05441817 0.06531126 0.07566895 0.08563939 0.09530571 0.10472222 0.11392608 0.12294997 0.13181647 0.14054481 0.14914972 0.15764424 0.16603901 0.17434237 0.18256207 0.19070469 0.19877714 0.20678372 0.21472883 0.22261606 0.23044510 0.23822156 0.24594897 0.25362874 0.26126159 0.26884689 0.27639120 0.28389435 0.29135253 0.29877202 0.30615320               ! PS_BldPitchMin    - Minimum blade pitch angles [rad]
+0.06961065 0.06924184 0.06817476 0.06620664 0.06344346 0.05989764 0.05580663 0.05118982 0.04599471 0.04015771 0.03380153 0.02702641 0.02000523 0.01281095 0.00556659 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00642790 0.02118583 0.03400245 0.04531277 0.05416224 0.06502203 0.07534157 0.08526828 0.09488930 0.10425987 0.11342021 0.12239818 0.13121860 0.13990082 0.14845937 0.15690641 0.16525264 0.17350792 0.18168045 0.18977616 0.19780148 0.20576127 0.21365866 0.22149477 0.22927671 0.23700692 0.24468818 0.25231812 0.25990232 0.26744252 0.27494202 0.28239389 0.28980611 0.29718180 0.30451483               ! PS_BldPitchMin    - Minimum blade pitch angles [rad]
 
 !------- SHUTDOWN -----------------------------------------------------------
 0.698100000000      ! SD_MaxPit         - Maximum blade pitch angle to initiate shutdown, [rad]
 0.418880000000      ! SD_CornerFreq     - Cutoff Frequency for first order low-pass filter for blade pitch angle, [rad/s]
 
 !------- Floating -----------------------------------------------------------
--9.37521000000      ! Fl_Kp             - Nacelle pitching proportional feedback gain [s]
+-9.28685000000      ! Fl_Kp             - Nacelle pitching proportional feedback gain [s]
 
 !------- FLAP ACTUATION -----------------------------------------------------
 0.000000000000      ! Flp_Angle         - Initial or steady state flap angle [rad]
@@ -129,3 +130,16 @@
 0                   ! Ind_BldPitch      - The column in OL_Filename that contains the blade pitch input in rad
 0                   ! Ind_GenTq         - The column in OL_Filename that contains the generator torque in Nm
 0                   ! Ind_YawRate       - The column in OL_Filename that contains the generator torque in Nm
+
+!------- Pitch Actuator Model -----------------------------------------------------
+3.140000000000        ! PA_CornerFreq     - Pitch actuator bandwidth/cut-off frequency [rad/s]
+0.707000000000        ! PA_Damping        - Pitch actuator damping ratio [-, unused if PA_Mode = 1]
+
+!------- External Controller Interface -----------------------------------------------------
+"unused"            ! DLL_FileName        - Name/location of the dynamic library in the Bladed-DLL format
+"unused"            ! DLL_InFile          - Name of input file sent to the DLL (-)
+"DISCON"            ! DLL_ProcName        - Name of procedure in DLL to be called (-) 
+
+!------- ZeroMQ Interface ---------------------------------------------------------
+"tcp://localhost:5555"            ! ZMQ_CommAddress     - Communication address for ZMQ server, (e.g. "tcp://localhost:5555") 
+2                   ! ZMQ_UpdatePeriod    - Call ZeroMQ every [x] seconds, [s]
diff --git a/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-UMaineSemi/IEA15MW.yaml b/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-UMaineSemi/IEA15MW-UMaineSemi.yaml
similarity index 70%
rename from examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-UMaineSemi/IEA15MW.yaml
rename to examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-UMaineSemi/IEA15MW-UMaineSemi.yaml
index a750e8954..ae8ea5618 100644
--- a/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-UMaineSemi/IEA15MW.yaml
+++ b/examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/IEA-15-240-RWT-UMaineSemi/IEA15MW-UMaineSemi.yaml
@@ -4,9 +4,9 @@
 # ------------------------------ OpenFAST PATH DEFINITIONS ------------------------------
 path_params:
   FAST_InputFile: 'IEA-15-240-RWT-UMaineSemi.fst'                                                                # Name of *.fst file
-  FAST_directory: '../Test_Cases/IEA-15-240-RWT-UMaineSemi'                     # Main OpenFAST model directory, where the *.fst lives 
+  FAST_directory: '.'                     # Main OpenFAST model directory, where the *.fst lives 
   # Optional (but suggested...)
-  rotor_performance_filename:  'Cp_Ct_Cq.IEA15MW.txt'                                # Filename for rotor performance text file (if it has been generated by ccblade already)
+  rotor_performance_filename:  '../IEA-15-240-RWT/Cp_Ct_Cq.IEA15MW.txt'                                # Filename for rotor performance text file (if it has been generated by ccblade already)
 
 # -------------------------------- TURBINE PARAMETERS ----------------------------------- 
 turbine_params:
@@ -21,8 +21,7 @@ turbine_params:
   bld_edgewise_freq:  4.0324                # Blade edgewise first natural frequency [rad/s]
   bld_flapwise_freq:  3.4872                # Blade flapwise first natural frequency [rad/s]
   TSR_operational:    9.0
-  twr_freq:  3.355 # for semi only!
-  ptfm_freq: 0.213 # for semi only!
+
 #------------------------------- CONTROLLER PARAMETERS ----------------------------------
 controller_params:
   # Controller flags 
@@ -35,23 +34,19 @@ controller_params:
   Y_ControlMode:      0                     # Yaw control mode {0: no yaw control, 1: yaw rate control, 2: yaw-by-IPC}
   SS_Mode:            1                     # Setpoint Smoother mode {0: no setpoint smoothing, 1: introduce setpoint smoothing}
   WE_Mode:            2                     # Wind speed estimator mode {0: One-second low pass filtered hub height wind speed, 1: Immersion and Invariance Estimator (Ortega et al.)}
-  PS_Mode:            2                     # Pitch saturation mode {0: no pitch saturation, 1: peak shaving, 2: Cp-maximizing pitch saturation, 3: peak shaving and Cp-maximizing pitch saturation}
+  PS_Mode:            3                     # Pitch saturation mode {0: no pitch saturation, 1: peak shaving, 2: Cp-maximizing pitch saturation, 3: peak shaving and Cp-maximizing pitch saturation}
   SD_Mode:            0                     # Shutdown mode {0: no shutdown procedure, 1: pitch to max pitch at shutdown}
   Fl_Mode:            2                     # Floating specific feedback mode {0: no nacelle velocity feedback, 1: nacelle velocity feedback}
   Flp_Mode:           0                     # Flap control mode {0: no flap control, 1: steady state flap angle, 2: Proportional flap control}
   # Controller parameters       
+  # U_pc:               [14]
   zeta_pc:            1.0                   # Pitch controller desired damping ratio [-]
-  omega_pc:           0.3                  # Pitch controller desired natural frequency [rad/s]
-  zeta_vs:            0.85                   # Torque controller desired damping ratio [-]
-  omega_vs:           0.12                 # Torque controller desired natural frequency [rad/s]
+  omega_pc:           0.2                   # Pitch controller desired natural frequency [rad/s]
+  zeta_vs:            0.85                  # Torque controller desired damping ratio [-]
+  omega_vs:           0.12                  # Torque controller desired natural frequency [rad/s]
+  twr_freq:           3.355 # for semi only!
+  ptfm_freq:          0.213 # for semi only!
   # Optional - these can be defined, but do not need to be
-  max_pitch:          # None                # Maximum pitch angle [rad], {default = 90 degrees}
   min_pitch:          0.0                   # Minimum pitch angle [rad], {default = 0 degrees}
   vs_minspd:          0.523598775           # Minimum rotor speed [rad/s], {default = 0 rad/s}
-  ss_cornerfreq:      # None                # First order low-pass filter cornering frequency for setpoint smoother [rad/s]
-  ss_vsgain:          # None                # Torque controller setpoint smoother gain bias percentage [%, <= 1 ], {default = 100%}
-  ss_pcgain:          # None                # Pitch controller setpoint smoother gain bias percentage  [%, <= 1 ], {default = 0.1%}
-  ps_percent:         # None                # Percent peak shaving  [%, <= 1 ], {default = 80%}
-  sd_maxpit:          # None                # Maximum blade pitch angle to initiate shutdown [rad], {default = bld pitch at v_max}
-  sd_cornerfreq:      # None                # Cutoff Frequency for first order low-pass filter for blade pitch angle [rad/s], {default = 0.41888 ~ time constant of 15s}
-  flp_maxpit:         # None                  # Maximum (and minimum) flap pitch angle [rad]
+  ps_percent:         0.8                   # Percent peak shaving  [%, <= 1 ], {default = 80%}
diff --git a/examples/01_aeroelasticse/OpenFAST_models/update_weis_discons.py b/examples/01_aeroelasticse/OpenFAST_models/update_weis_discons.py
new file mode 100644
index 000000000..d43c8c5bd
--- /dev/null
+++ b/examples/01_aeroelasticse/OpenFAST_models/update_weis_discons.py
@@ -0,0 +1,32 @@
+'''
+Update the DISCON.IN examples in the WEIS repository using the Tune_Case/ .yaml files
+
+'''
+import os
+from ROSCO_toolbox.ofTools.fast_io.update_discons import update_discons
+
+weis_dir = os.path.dirname(os.path.dirname(os.path.dirname(os.path.dirname(__file__))))
+iea15_dir = os.path.join(weis_dir,'examples/01_aeroelasticse/OpenFAST_models/IEA-15-240-RWT/')
+
+if __name__=="__main__":
+
+    # {tune_yaml:discon}
+    discon_map = {
+        os.path.join(iea15_dir,'IEA-15-240-RWT-UMaineSemi/IEA15MW-UMaineSemi.yaml'): os.path.join(iea15_dir,'IEA-15-240-RWT-UMaineSemi/DISCON-UMaineSemi.IN'),
+        os.path.join(iea15_dir,'IEA-15-240-RWT-Monopile/IEA15MW-Monopile.yaml'): os.path.join(iea15_dir,'IEA-15-240-RWT-Monopile/DISCON-Monopile.IN'),
+        # 'IEA15MW.yaml': 'IEA-15-240-RWT-UMaineSemi/DISCON-UMaineSemi.IN',
+        # 'BAR.yaml': 'BAR_10/BAR_10_DISCON.IN'
+    }
+
+    # # Directories
+    # test_dir = os.path.dirname(os.path.abspath(__file__))
+    # tune_dir = os.path.realpath(os.path.join(test_dir,'../Tune_Cases'))
+
+    # # Make paths absolute
+    # map_abs = {}
+    # for tune, test in map_rel.items():
+    #     tune = os.path.join(tune_dir,tune)
+    #     map_abs[tune] = os.path.join(test_dir,test)
+
+    # Make discons    
+    update_discons(discon_map)
diff --git a/examples/07_te_flaps/BAR_USC_flaps.yaml b/examples/07_te_flaps/BAR_USC_flaps.yaml
new file mode 100644
index 000000000..35f8ecd21
--- /dev/null
+++ b/examples/07_te_flaps/BAR_USC_flaps.yaml
@@ -0,0 +1,887 @@
+name: BAR_USC
+description: BAR-USC - Upwind segmented design - Spar caps with industry baseline CFRP - last updated on April 23rd 2021 by Pietro Bortolotti
+assembly: {turbine_class: III, turbulence_class: A, drivetrain: Constant_eff, rotor_orientation: Upwind, number_of_blades: 3, rotor_diameter: 206.0, hub_height: 140.0, rated_power: 5000000.0, lifetime: 25.0}
+components:
+    blade:
+        outer_shape_bem:
+            airfoil_position:
+                grid: [0.0, 0.02, 0.18, 0.29632121, 0.4824137, 0.76458948, 0.87235063, 1.0]
+                labels: [circular, circular, SNL-FFA-W3-500, FFA-W3-360, FFA-W3-301, FFA-W3-241, FFA-W3-211, NACA63-618]
+            chord:
+                grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                values: [4.5, 4.516534551546473, 4.592554552493484, 4.720268647024349, 4.75, 4.75, 4.75, 4.75, 4.75, 4.75, 4.75, 4.7, 4.64, 4.48, 4.30815493183957, 4.071095673436996, 3.830786554698718, 3.5937778702371683, 3.353572396827501, 3.1097268095527446, 2.8639490527742715, 2.6178045741630256, 2.372555490428877, 2.1253660784426107, 1.873608174226736, 1.6133977045902357, 1.3455144660008225, 1.0705044824934318, 0.7881317167515849, 0.5000000000000002]
+            twist: &id002
+                grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                values: [0.3491, 0.32625117093725764, 0.30085552622478245, 0.2731956053054779, 0.24355394762224736, 0.20577589884786782, 0.1576145108901439, 0.1136986486334804, 0.08888556174463991, 0.08740227021440287, 0.08747036236925905, 0.08755245976654401, 0.08760934772745713, 0.08649735156799883, 0.08026523138581591, 0.0709071911194134, 0.06112252537717545, 0.05334185864146969, 0.0468397267304825, 0.04037517185557232, 0.03298558472034764, 0.023562445954621404, 0.00966270163050956, -0.007145978052090492, -0.02406407624641657, -0.038338165876185194, -0.050562117073935514, -0.06194147336869993, -0.07234987147859483, -0.0816609481217366]
+            pitch_axis:
+                grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                values: [0.5, 0.49816955, 0.48992341, 0.47666778, 0.47368421, 0.47368421, 0.47368421, 0.47368421, 0.47368421, 0.47368421, 0.47368421, 0.46808511, 0.4612069, 0.44196429, 0.43251806, 0.42095775, 0.41010371, 0.40195138, 0.39522149, 0.39116278, 0.38990659, 0.39134099, 0.39523274, 0.40007425, 0.40504215, 0.41113787, 0.41946139, 0.43201533, 0.45321411, 0.5]
+            reference_axis: &id001
+                x:
+                    grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                    values: [0.0, 0.01458960863306122, 0.05222307680765803, 0.10814189079154829, 0.17425050028042421, 0.24113677336298817, 0.3000855814876169, 0.34265121339954685, 0.35982107219826126, 0.34758647247479363, 0.3145081037342804, 0.2668581446781227, 0.2108704900449745, 0.14047729704289402, 0.038047053391842355, -0.09075291861109813, -0.23512381066742405, -0.3941373321774326, -0.585777112144827, -0.8052918056877612, -1.0425259442398327, -1.2912172307106229, -1.5637296993685719, -1.8590358827384128, -2.1706742111500468, -2.4983777867013965, -2.8433553645576635, -3.2095215196586184, -3.5968444286312473, -3.999999999999999]
+                y:
+                    grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                    values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+                z:
+                    grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                    values: [0.0, 3.4481471658071863, 6.8962943316143726, 10.34444149742156, 13.792588663228745, 17.240735829035934, 20.68888299484312, 24.137030160650305, 27.58517732645749, 31.03332449226468, 34.48147165807187, 37.929618823879046, 41.37776598968624, 44.825913155493424, 48.2740603213006, 51.722207487107795, 55.17035465291498, 58.618501818722166, 62.06664898452936, 65.51479615033654, 68.96294331614372, 72.41109048195092, 75.8592376477581, 79.30738481356529, 82.75553197937248, 86.20367914517965, 89.65182631098685, 93.09997347679402, 96.5481206426012, 99.9962678084084]
+        internal_structure_2d_fem:
+            reference_axis: *id001
+            webs:
+               -  name: fore_web
+                  rotation: {fixed: twist}
+                  offset_y_pa:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, -1.15, -0.2, 0.0]
+                  start_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.1944341076797514, 0.19789619087952426, 0.1995814016305828, 0.2986974167831211, 0.30770936152219514, 0.3179522700134917, 0.32448920396188546, 0.32905563015646905, 0.3309415059429103, 0.32971052057299916, 0.3281456111729418, 0.3297171781465252, 0.3316776976065469, 0.34083643965092586, 0.3458908594159589, 0.3531629939460103, 0.3600972721436043, 0.3655330004199417, 0.3703043347862841, 0.373959165685297, 0.3764977513855228, 0.37801770139562846, 0.3787534934354078, 0.3796199771189889, 0.381076392695492, 0.38260736024324904, 0.38425915324535004, 0.3868055963460461, 0.39177859992278913, 0.24523262565655407]
+                  end_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.6944435148559404, 0.6984335324442565, 0.7070219551103597, 0.6230318654664393, 0.6316270299944521, 0.637906178948009, 0.6453805024826684, 0.6524539486185132, 0.6570709455469694, 0.6595806535278796, 0.6618191299270791, 0.6607904813624977, 0.6592743628622801, 0.6506491265970532, 0.6467700167142499, 0.6409477680122214, 0.6353773583187383, 0.6309380450474377, 0.6269377920988315, 0.6239885337270877, 0.6221947609014858, 0.6215411295562294, 0.6220121555606668, 0.6225042017818617, 0.622138552504659, 0.6210958940728404, 0.6194630776270665, 0.616578173594201, 0.6108789436036904, 0.75672068587476]
+               -  name: rear_web
+                  rotation: {fixed: twist}
+                  offset_y_pa:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, -0.45, 0.2, 0.0]
+                  start_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.1944341076797514, 0.19789619087952426, 0.1995814016305828, 0.24103291898514712, 0.2485063952196175, 0.2573041233262503, 0.26380133146115453, 0.26855761535787454, 0.2707285618172603, 0.27009491387100165, 0.26922324042825657, 0.2709835089736643, 0.27309621094291525, 0.28117817349724705, 0.28489087215399883, 0.28972295184913305, 0.29388267706220933, 0.2962707206851396, 0.2975163557733826, 0.29704199068553205, 0.29471240053485404, 0.29043997339117217, 0.284182519900344, 0.2762254302652965, 0.2661323170831358, 0.2518541182788403, 0.23081392775480036, 0.1983271218268225, 0.14241966748178495, 0.24523262565655407]
+                  end_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.6944435148559404, 0.6984335324442565, 0.7070219551103597, 0.6802576314722943, 0.690057512816849, 0.6981514337063581, 0.7061807345539898, 0.7135367813052993, 0.7179933347692259, 0.7199715120681167, 0.721504923036572, 0.7202240630205763, 0.718495410828647, 0.7107913509448666, 0.7081352941218725, 0.7046125605430562, 0.7016890881112438, 0.7002159444738432, 0.6996801210626159, 0.7008273998719315, 0.7038884844190495, 0.7090215710645009, 0.7164588885516101, 0.7256803180264201, 0.736673064486216, 0.7511302898408277, 0.7716501915580398, 0.8030454222827064, 0.8575867502123766, 0.75672068587476]
+            layers:
+               -  name: UV_protection
+                  material: Gelcoat
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+                  start_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+                  end_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: Shell_skin_outer
+                  material: glass_triax
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.041, 0.033, 0.026, 0.02, 0.015, 0.011, 0.008284540718575178, 0.0065124340152886585, 0.005362077516845975, 0.004702475040252789, 0.004402630402514755, 0.004331547420637534, 0.0043582299116267645, 0.00435168169248812, 0.004307029653720184, 0.004219400685821545, 0.004083921679290805, 0.0038957195246265212, 0.0036499211123273024, 0.0033416533328917363, 0.002981327747509212, 0.0025793559173691184, 0.0021461494036608486, 0.0016921197675737938, 0.0012276785702973474, 0.001, 0.001, 0.001, 0.001, 0.001]
+                  start_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+                  end_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: Spar_cap_ss
+                  material: carbon_uni_industry_baseline
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.010363863922080815, 0.018021234480601413, 0.025361659590798752, 0.03206819380434953, 0.03782389167293049, 0.042311807748218355, 0.045214996581889856, 0.046216512725621724, 0.04569526776353126, 0.04403017327973565, 0.041600140858352265, 0.038784082083498365, 0.03596090853929123, 0.03350953180984813, 0.0313580742821214, 0.02943465834306337, 0.027667406379626357, 0.025984440778762663, 0.02431388392742465, 0.022583858212564614, 0.0208042751114363, 0.018985046101293482, 0.01713608265938962, 0.01526729626297836, 0.013388598389313434, 0.011509900515648486, 0.009631202641983529, 0.007752504768318578, 0.005873806894653622]
+                  width:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.7536, 0.7059, 0.6587, 0.611, 0.5383, 0.3419]
+                  offset_y_pa:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, -0.8, -0.768, -0.736, -0.7040000000000001, -0.672, -0.64, -0.608, -0.576, -0.544, -0.512, -0.48, -0.448, -0.4159999999999999, -0.38399999999999995, -0.352, -0.31999999999999995, -0.2879999999999999, -0.2559999999999999, -0.22399999999999998, -0.19199999999999995, -0.15999999999999992, -0.1279999999999999, -0.09599999999999997, -0.06399999999999995, -0.03199999999999992, 0.0, 0.0]
+                  rotation:
+                      fixed: twist
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [-0.3491, -0.32625117093725764, -0.30085552622478245, -0.2731956053054779, -0.24355394762224736, -0.20577589884786782, -0.1576145108901439, -0.1136986486334804, -0.08888556174463991, -0.08740227021440287, -0.08747036236925905, -0.08755245976654401, -0.08760934772745713, -0.08649735156799883, -0.08026523138581591, -0.0709071911194134, -0.06112252537717545, -0.05334185864146969, -0.0468397267304825, -0.04037517185557232, -0.03298558472034764, -0.023562445954621404, -0.00966270163050956, 0.007145978052090492, 0.02406407624641657, 0.038338165876185194, 0.050562117073935514, 0.06194147336869993, 0.07234987147859483, 0.0816609481217366]
+                  side: suction
+                  start_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.16613836034947552, 0.169462856927001, 0.1696806788853545, 0.23759495300274497, 0.24398990006773238, 0.25193115008810124, 0.25766522645007633, 0.2617466164955512, 0.26334339770109555, 0.26210836645567076, 0.26061866422837776, 0.26163149953268333, 0.26295985448626474, 0.2699574893771192, 0.27252089853179484, 0.2758827050334076, 0.27838647087570767, 0.27891556443412346, 0.2780261585375575, 0.27506340457254136, 0.2698080734623235, 0.26207131421706586, 0.2516672811693726, 0.23859669313117138, 0.22787546926090899, 0.2128991488250443, 0.1907483551699828, 0.1563355928128148, 0.10381686391715889, 0.08009451161731798]
+                  end_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.22272985501002726, 0.22632952483204752, 0.2294821243758111, 0.30080192560522784, 0.31138242250944803, 0.32272783718031955, 0.33028459284269124, 0.33580146990087356, 0.3384231564347329, 0.33783338285621906, 0.336903049927776, 0.3392046514428652, 0.34192828012465953, 0.3520939227092709, 0.35827412414405224, 0.3669720849566914, 0.375518605818145, 0.38277512150545734, 0.38964943920179285, 0.3957804603142561, 0.40125954370953987, 0.4063146633486592, 0.41134025300672855, 0.41753853299536126, 0.41993132389150933, 0.4226081318340092, 0.4260419733187718, 0.431291050983895, 0.43340578715881445, 0.4103707396957902]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: Spar_cap_ps
+                  material: carbon_uni_industry_baseline
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.012478059721382662, 0.01761157401713909, 0.022745088312895515, 0.027664175500095572, 0.03215440847018287, 0.03600136011460119, 0.03899060332479406, 0.04090771099220513, 0.0415382560082781, 0.041101726495636016, 0.03981761057690187, 0.03790539637469875, 0.03558457201164968, 0.033074625610377724, 0.030595045293505926, 0.02815655274214637, 0.02576986963741116, 0.023445717660412414, 0.021194818492262218, 0.019027893814072678, 0.016955665306955872, 0.014962350275733031, 0.01303216602522535, 0.01114932986025402, 0.009298059085640267, 0.007462571006205302, 0.005627082926770338, 0.0037915948473353817, 0.001956106767900421]
+                  width:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0.7855, 0.7453, 0.7019, 0.6571, 0.6099, 0.5246, 0.331]
+                  offset_y_pa:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, -0.8, -0.768, -0.736, -0.7040000000000001, -0.672, -0.64, -0.608, -0.576, -0.544, -0.512, -0.48, -0.448, -0.4159999999999999, -0.38399999999999995, -0.352, -0.31999999999999995, -0.2879999999999999, -0.2559999999999999, -0.22399999999999998, -0.19199999999999995, -0.15999999999999992, -0.1279999999999999, -0.09599999999999997, -0.06399999999999995, -0.03199999999999992, 0.0, 0.0]
+                  rotation:
+                      fixed: twist
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [-0.3491, -0.32625117093725764, -0.30085552622478245, -0.2731956053054779, -0.24355394762224736, -0.20577589884786782, -0.1576145108901439, -0.1136986486334804, -0.08888556174463991, -0.08740227021440287, -0.08747036236925905, -0.08755245976654401, -0.08760934772745713, -0.08649735156799883, -0.08026523138581591, -0.0709071911194134, -0.06112252537717545, -0.05334185864146969, -0.0468397267304825, -0.04037517185557232, -0.03298558472034764, -0.023562445954621404, -0.00966270163050956, 0.007145978052090492, 0.02406407624641657, 0.038338165876185194, 0.050562117073935514, 0.06194147336869993, 0.07234987147859483, 0.0816609481217366]
+                  side: pressure
+                  start_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.6661477675256645, 0.6700001984917333, 0.6771212323651314, 0.6207208564326209, 0.627275017082404, 0.632459590064111, 0.6392686724563996, 0.6457453525036577, 0.6497799829968232, 0.6517123168547532, 0.6533345130885749, 0.6515504231149739, 0.6492426796180641, 0.639504342021312, 0.6344403669427179, 0.6271127349251726, 0.6198647907156046, 0.6135616535828008, 0.6074273211719202, 0.601990850006325, 0.5972656456101422, 0.593116624578337, 0.5893669387235123, 0.5862305208235662, 0.584447689319241, 0.5818881458651413, 0.578269577886684, 0.5727057328003303, 0.5737487939946404, 0.5968472850353709]
+                  end_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.7227392621862162, 0.7268668663967798, 0.736922677855588, 0.6839278290351037, 0.6946675395241195, 0.7032562771563293, 0.7118880388490145, 0.7198002059089802, 0.7248597417304605, 0.7274373332553015, 0.7296188987879731, 0.7291235750251558, 0.7282111052564588, 0.7216407753534637, 0.7201935925549754, 0.7182021148484563, 0.7169969256580419, 0.7174212106541347, 0.7190506018361554, 0.7227079057480398, 0.7287171158573587, 0.7373599737099303, 0.7490399105608683, 0.7619290398402175, 0.7743882790965584, 0.7904088076784186, 0.8129916615143888, 0.8471661811449159, 0.8949495168862853, 0.9165940867141492]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: LE_reinf
+                  material: glass_uni
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.006650033728755581, 0.008148123658263425, 0.009646213587771253, 0.011144303517279089, 0.01260256197570184, 0.013981157491954431, 0.015240258594951785, 0.016340033813608823, 0.017240651676840472, 0.01790228071356164, 0.018327608985325365, 0.018519324553684678, 0.018480115480192617, 0.01821266982640221, 0.017719675653866496, 0.0170038210241385, 0.016105782583305264, 0.015066236977453804, 0.013925860852671158, 0.012725330855044377, 0.011505323630660504, 0.010306515825606558, 0.009125374203327537, 0.00795836552726849, 0.0068019565608744125, 0.005652614067590332, 0.0045068048108612615, 0.003360995554132208]
+                  midpoint_nd_arc:
+                      fixed: LE
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+                  width:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.3094, 0.2801, 0.2223, 0.1635, 0.1035]
+                  start_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.48905595431623106, 0.48893839423112934, 0.4879641104938534, 0.4870686401471926, 0.48668455059829785, 0.4857654747585992, 0.48502104276090374, 0.4853108764087897, 0.4856425830643033, 0.48579239552057807, 0.4861193594105758, 0.4862716947753552, 0.48627316635478096, 0.48579128917488057, 0.4850630282771577, 0.483831555229784, 0.48238805281939273, 0.48077684683033084, 0.4789477388987358, 0.47684624458672525, 0.47440402893033096, 0.471523237327894, 0.46807164252978656, 0.46388290037817503, 0.45854521528665915, 0.4511866042888117, 0.4459587735889036, 0.4446784299044914, 0.44324233282953074, 0.44179699440331593]
+                  end_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.5109427148761995, 0.510931578043406, 0.5110923195372875, 0.5115139368012028, 0.5127486086526314, 0.5131460934915146, 0.5131065827132475, 0.5139515909632981, 0.5146796797545375, 0.5150790456134902, 0.515622345579818, 0.516273111276618, 0.5168142049704302, 0.5175575547660902, 0.5182280882826983, 0.519060372915114, 0.5199539060083803, 0.5209445305276692, 0.5221180426956288, 0.5235335658948335, 0.525242885048442, 0.5273093526045377, 0.529825164387884, 0.5330886569456504, 0.5373961725885538, 0.5431032487752456, 0.5460130356861798, 0.5447154157497142, 0.5433496873716275, 0.5417782450793085]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: TE_reinf_ss
+                  material: glass_uni
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.023343227487567127, 0.02514806479023719, 0.02695290209290725, 0.028757739395577298, 0.03056257669824736, 0.032367414000917416, 0.03399537923059806, 0.03526960031429983, 0.03601320517903334, 0.0360493217518092, 0.03520107795963813, 0.03329160172953063, 0.030593866909944815, 0.02738084734933888, 0.023925516896170944, 0.020500849398899176, 0.017379818705981716, 0.014835398665876708, 0.012771487503115443, 0.01109198344222918, 0.009700784707749164, 0.008501789524206603, 0.007398896116132821, 0.006296002708059051, 0.00519310929998528, 0.004090215891911514, 0.0029873224838377426, 0.0]
+                  start_nd_arc:
+                      fixed: TE
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+                  width:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.576, 0.57745, 0.581, 0.58365, 0.58685, 0.58985, 0.59945, 0.60525, 0.61195, 0.61385, 0.6119, 0.60915, 0.6066, 0.6063, 0.60745, 0.6106, 0.61615, 0.57865, 0.53735, 0.4965, 0.4564, 0.41675, 0.37725, 0.33625, 0.27445, 0.2347, 0.1947, 0.1541, 0.113, 0.0713]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+                #   end_nd_arc:
+                #       grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                #       values: [0.04074587615559724, 0.04104707172721141, 0.04343079978744409, 0.04611343694929891, 0.04943662724365101, 0.0521992823516812, 0.054414598980066245, 0.05602712502946421, 0.057431322946311696, 0.05810475164684571, 0.058348019511827165, 0.059067106857609075, 0.059877808740312836, 0.062249149411604476, 0.06511349612270724, 0.06952396922644635, 0.07480995618097842, 0.07512291587415915, 0.07497596233115852, 0.07492002271970172, 0.07499306377603697, 0.0751417696882394, 0.07529578578205316, 0.0752114920679173, 0.06994390831126363, 0.06972474615696848, 0.0695486070344151, 0.06934637660255884, 0.0691873459526418, 0.06887597268790602]
+               -  name: TE_reinf_ps
+                  material: glass_uni
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.023343227487567127, 0.02514806479023719, 0.02695290209290725, 0.028757739395577298, 0.03056257669824736, 0.032367414000917416, 0.03399537923059806, 0.03526960031429983, 0.03601320517903334, 0.0360493217518092, 0.03520107795963813, 0.03329160172953063, 0.030593866909944815, 0.02738084734933888, 0.023925516896170944, 0.020500849398899176, 0.017379818705981716, 0.014835398665876708, 0.012771487503115443, 0.01109198344222918, 0.009700784707749164, 0.008501789524206603, 0.007398896116132821, 0.006296002708059051, 0.00519310929998528, 0.004090215891911514, 0.0029873224838377426, 0.0]
+                  end_nd_arc:
+                      fixed: TE
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0]
+                  width:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.576, 0.57745, 0.581, 0.58365, 0.58685, 0.58985, 0.59945, 0.60525, 0.61195, 0.61385, 0.6119, 0.60915, 0.6066, 0.6063, 0.60745, 0.6106, 0.61615, 0.57865, 0.53735, 0.4965, 0.4564, 0.41675, 0.37725, 0.33625, 0.27445, 0.2347, 0.1947, 0.1541, 0.113, 0.0713]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+                #   start_nd_arc:
+                #       grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                #       values: [0.9592541238444028, 0.9589529282727886, 0.9565692002125559, 0.9538865630507011, 0.950563372756349, 0.9478007176483187, 0.9455854010199337, 0.9439728749705358, 0.9425686770536883, 0.9418952483531543, 0.9416519804881729, 0.9409328931423909, 0.9401221912596872, 0.9377508505883956, 0.9348865038772928, 0.9304760307735537, 0.9251900438190216, 0.9248770841258409, 0.9250240376688414, 0.9250799772802982, 0.925006936223963, 0.9248582303117606, 0.9247042142179468, 0.9247885079320827, 0.9300560916887364, 0.9302752538430316, 0.9304513929655849, 0.9306536233974412, 0.9308126540473582, 0.931124027312094]
+               -  name: TE_SS_filler
+                  material: medium_density_foam
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.018640217490227647, 0.022904385684442738, 0.027168553878657818, 0.0312820798151019, 0.035094321236003936, 0.03845463588359295, 0.041212381500097914, 0.04321691582774788, 0.04431759660877182, 0.044631775714407025, 0.044276805015890965, 0.04337003638446096, 0.04202882169135447, 0.040370512807808824, 0.03851246160506139, 0.03646387880311415, 0.03423397512196914, 0.03183196128162837, 0.02926704800209385, 0.026548446003367625, 0.023685366005451677, 0.02070188767487763, 0.01762209067817712, 0.014470054681881742, 0.01126985935252313, 0.008045584356632905, 0.0048213093607426755, 0.001597034364852453]
+                  start_nd_arc:
+                      fixed: TE_reinf_ss
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.04074587615559724, 0.04104707172721141, 0.04343079978744409, 0.04611343694929891, 0.04943662724365101, 0.0521992823516812, 0.054414598980066245, 0.05602712502946421, 0.057431322946311696, 0.05810475164684571, 0.058348019511827165, 0.059067106857609075, 0.059877808740312836, 0.062249149411604476, 0.06511349612270724, 0.06952396922644635, 0.07480995618097842, 0.07512291587415915, 0.07497596233115852, 0.07492002271970172, 0.07499306377603697, 0.0751417696882394, 0.07529578578205316, 0.0752114920679173, 0.06994390831126363, 0.06972474615696848, 0.0695486070344151, 0.06934637660255884, 0.0691873459526418, 0.06887597268790602]
+                  end_nd_arc:
+                      fixed: Spar_cap_ss
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.16613836034947552, 0.169462856927001, 0.1696806788853545, 0.23759495300274497, 0.24398990006773238, 0.25193115008810124, 0.25766522645007633, 0.2617466164955512, 0.26334339770109555, 0.26210836645567076, 0.26061866422837776, 0.26163149953268333, 0.26295985448626474, 0.2699574893771192, 0.27252089853179484, 0.2758827050334076, 0.27838647087570767, 0.27891556443412346, 0.2780261585375575, 0.27506340457254136, 0.2698080734623235, 0.26207131421706586, 0.2516672811693726, 0.23859669313117138, 0.22787546926090899, 0.2128991488250443, 0.1907483551699828, 0.1563355928128148, 0.10381686391715889, 0.08009451161731798]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: LE_SS_filler
+                  material: medium_density_foam
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.010678322708722262, 0.013027749686046041, 0.015377176663369818, 0.017726603640693592, 0.02007603061801737, 0.022343664312566913, 0.024447711441567942, 0.026306378722246202, 0.02783787287182743, 0.0289604006075374, 0.029592168646601816, 0.029791678876096843, 0.02961743318309853, 0.02912793345468304, 0.028381681577926424, 0.027437179439904813, 0.02635292892769433, 0.025110640888752044, 0.02369202617053485, 0.02207879562049976, 0.020252660086103807, 0.01819533041480395, 0.015888517454057182, 0.01337380175210471, 0.010692763857187702, 0.007886984317547073, 0.004998043681424268, 0.002067522497060305]
+                  start_nd_arc:
+                      fixed: Spar_cap_ss
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.22272985501002726, 0.22632952483204752, 0.2294821243758111, 0.30080192560522784, 0.31138242250944803, 0.32272783718031955, 0.33028459284269124, 0.33580146990087356, 0.3384231564347329, 0.33783338285621906, 0.336903049927776, 0.3392046514428652, 0.34192828012465953, 0.3520939227092709, 0.35827412414405224, 0.3669720849566914, 0.375518605818145, 0.38277512150545734, 0.38964943920179285, 0.3957804603142561, 0.40125954370953987, 0.4063146633486592, 0.41134025300672855, 0.41753853299536126, 0.41993132389150933, 0.4226081318340092, 0.4260419733187718, 0.431291050983895, 0.43340578715881445, 0.4103707396957902]
+                  end_nd_arc:
+                      fixed: LE_reinf
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.48905595431623106, 0.48893839423112934, 0.4879641104938534, 0.4870686401471926, 0.48668455059829785, 0.4857654747585992, 0.48502104276090374, 0.4853108764087897, 0.4856425830643033, 0.48579239552057807, 0.4861193594105758, 0.4862716947753552, 0.48627316635478096, 0.48579128917488057, 0.4850630282771577, 0.483831555229784, 0.48238805281939273, 0.48077684683033084, 0.4789477388987358, 0.47684624458672525, 0.47440402893033096, 0.471523237327894, 0.46807164252978656, 0.46388290037817503, 0.45854521528665915, 0.4511866042888117, 0.4459587735889036, 0.4446784299044914, 0.44324233282953074, 0.44179699440331593]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: LE_PS_filler
+                  material: medium_density_foam
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.011714132383639313, 0.014764947347625046, 0.017815762311610757, 0.02086657727559648, 0.023917392239582207, 0.02696820720356794, 0.030019022167553665, 0.03295298719726778, 0.035653252358438574, 0.03800296771679428, 0.03988528333806326, 0.04118334928797394, 0.04178031563225458, 0.041727364564737766, 0.04107567827925614, 0.039876438969642325, 0.03818082882972886, 0.03604003005334837, 0.03350522483433343, 0.030642080913123152, 0.027516266030156573, 0.02419344792587278, 0.020739294340710836, 0.01721947301510983, 0.013699651689508844, 0.010179830363907818, 0.006660009038306791, 0.0031401877127057915]
+                  start_nd_arc:
+                      fixed: LE_reinf
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.5109427148761995, 0.510931578043406, 0.5110923195372875, 0.5115139368012028, 0.5127486086526314, 0.5131460934915146, 0.5131065827132475, 0.5139515909632981, 0.5146796797545375, 0.5150790456134902, 0.515622345579818, 0.516273111276618, 0.5168142049704302, 0.5175575547660902, 0.5182280882826983, 0.519060372915114, 0.5199539060083803, 0.5209445305276692, 0.5221180426956288, 0.5235335658948335, 0.525242885048442, 0.5273093526045377, 0.529825164387884, 0.5330886569456504, 0.5373961725885538, 0.5431032487752456, 0.5460130356861798, 0.5447154157497142, 0.5433496873716275, 0.5417782450793085]
+                  end_nd_arc:
+                      fixed: Spar_cap_ps
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.6661477675256645, 0.6700001984917333, 0.6771212323651314, 0.6207208564326209, 0.627275017082404, 0.632459590064111, 0.6392686724563996, 0.6457453525036577, 0.6497799829968232, 0.6517123168547532, 0.6533345130885749, 0.6515504231149739, 0.6492426796180641, 0.639504342021312, 0.6344403669427179, 0.6271127349251726, 0.6198647907156046, 0.6135616535828008, 0.6074273211719202, 0.601990850006325, 0.5972656456101422, 0.593116624578337, 0.5893669387235123, 0.5862305208235662, 0.584447689319241, 0.5818881458651413, 0.578269577886684, 0.5727057328003303, 0.5737487939946404, 0.5968472850353709]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: TE_PS_filler
+                  material: medium_density_foam
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.035987381471276024, 0.04397734379711533, 0.051967306122954644, 0.059630209740332625, 0.06663899594078779, 0.07266660601585875, 0.07738598125708404, 0.0804700629560023, 0.08159179240415206, 0.08099668674906287, 0.0789302631382641, 0.07563803871928527, 0.07136553063965596, 0.06635825604690564, 0.06086173208856376, 0.05503573124453716, 0.04904002599473268, 0.04303438881905716, 0.037178592197417475, 0.03163240860972047, 0.026555610535872978, 0.02186996705690011, 0.017497247253826908, 0.01335922020767848, 0.009377654999479916, 0.005474320710256289, 0.0015709864210326626, 0.001]
+                  start_nd_arc:
+                      fixed: Spar_cap_ps
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.7227392621862162, 0.7268668663967798, 0.736922677855588, 0.6839278290351037, 0.6946675395241195, 0.7032562771563293, 0.7118880388490145, 0.7198002059089802, 0.7248597417304605, 0.7274373332553015, 0.7296188987879731, 0.7291235750251558, 0.7282111052564588, 0.7216407753534637, 0.7201935925549754, 0.7182021148484563, 0.7169969256580419, 0.7174212106541347, 0.7190506018361554, 0.7227079057480398, 0.7287171158573587, 0.7373599737099303, 0.7490399105608683, 0.7619290398402175, 0.7743882790965584, 0.7904088076784186, 0.8129916615143888, 0.8471661811449159, 0.8949495168862853, 0.9165940867141492]
+                  end_nd_arc:
+                      fixed: TE_reinf_ps
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.9592541238444028, 0.9589529282727886, 0.9565692002125559, 0.9538865630507011, 0.950563372756349, 0.9478007176483187, 0.9455854010199337, 0.9439728749705358, 0.9425686770536883, 0.9418952483531543, 0.9416519804881729, 0.9409328931423909, 0.9401221912596872, 0.9377508505883956, 0.9348865038772928, 0.9304760307735537, 0.9251900438190216, 0.9248770841258409, 0.9250240376688414, 0.9250799772802982, 0.925006936223963, 0.9248582303117606, 0.9247042142179468, 0.9247885079320827, 0.9300560916887364, 0.9302752538430316, 0.9304513929655849, 0.9306536233974412, 0.9308126540473582, 0.931124027312094]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: Shell_skin_inner
+                  material: glass_triax
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.041, 0.033, 0.026, 0.02, 0.015315621882346286, 0.012614052419141646, 0.010089285411055738, 0.007829722085647882, 0.0059237636704776095, 0.004459811393104192, 0.003526266481086949, 0.0030162506695686785, 0.0028228856936921773, 0.002839293288600149, 0.0029585951894353707, 0.0030739131313404964, 0.0030783688494581463, 0.0029930342735692765, 0.00283898133345475, 0.002637281958895433, 0.002409008079672189, 0.0021752316255659585, 0.00195702452635758, 0.0017517918895640714, 0.0015569388227024443, 0.0013698704332897418, 0.0011879918288430328, 0.0010087081168792522, 0.001, 0.001]
+                  start_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.05, 0.04, 0.05, 0.05, 0.05]
+                  end_nd_arc:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 1.0, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95, 0.95]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: Web_aft_skin_le
+                  material: glass_biax
+                  web: fore_web
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0021642290748897794, 0.0022101615271658773, 0.0022560939794419753, 0.002302026431718077, 0.002347958883994179, 0.0023857856093980226, 0.0024074008810573743, 0.002404698972099977, 0.0023695741556535783, 0.0022939207048459304, 0.0021696328928047836, 0.002012922173274681, 0.0018400000000000736, 0.0016670778267254723, 0.0015103671071953555, 0.0013860792951542347, 0.001310425844346601, 0.0012753010279002088, 0.0012725991189427679, 0.001294214390602067, 0.001332041116005865, 0.0013779735682819148, 0.0014239060205579876, 0.0014698384728340475, 0.0015157709251100578, 0.0015617033773860887, 0.0]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: Web_aft_filler
+                  material: medium_density_foam
+                  web: fore_web
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.03748906121529216, 0.03611723351773886, 0.03474540582018555, 0.03336309557167681, 0.03195982022125724, 0.03052509721797137, 0.02904844401086386, 0.02751937804897927, 0.02592741678136225, 0.024337449781140424, 0.022814366621441057, 0.021423056875391283, 0.020228410116118648, 0.019295315916750478, 0.018688663850414115, 0.018346790223235213, 0.018208031341339345, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.0]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: Web_aft_skin_te
+                  material: glass_biax
+                  web: fore_web
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0020723641703378447, 0.002118296622613882, 0.0021642290748899273, 0.002210161527165972, 0.0022560939794420165, 0.0023020264317180615, 0.0023479588839941056, 0.0023857856093979176, 0.0024074008810572537, 0.002404698972099874, 0.0023695741556534785, 0.0022939207048458332, 0.0021696328928047324, 0.0020129221732746467, 0.0018400000000000569, 0.0016670778267254514, 0.0015103671071953343, 0.0013860792951542029, 0.0013104258443465565, 0.0012753010279001407, 0.001272599118942723, 0.001294214390602057, 0.0013320411160058796, 0.001377973568281959, 0.0014239060205580112, 0.001469838472834042, 0.0]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: Web_rear_skin_le
+                  material: glass_biax
+                  web: rear_web
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.002517599968446932, 0.002445129913471889, 0.002372659858496847, 0.0023001898035218114, 0.002227719748546781, 0.0021544904794845205, 0.0020797427822478514, 0.0020027174427495156, 0.0019226552469023392, 0.0018387969806191531, 0.0017503834298127764, 0.0016614674579192518, 0.0015761019283747073, 0.0014983397046152694, 0.0014322336500771126, 0.0013818366281962682, 0.0013512015024089593, 0.0013370346233662143, 0.001336042341719111, 0.0013449310081187766, 0.001360406973216308, 0.0013791765876627789, 0.0013979462021092215, 0.0014167158165556374, 0.001435485431002038, 0.0014542550454484536, 0.0]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: Web_rear_filler
+                  material: medium_density_foam
+                  web: rear_web
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0377066146348917, 0.03634612196662573, 0.03498562929835977, 0.03361391516359078, 0.03221975809581581, 0.030791936628531906, 0.029319229295236043, 0.027790414629425268, 0.026194271164596574, 0.02459555683654566, 0.0230590295810682, 0.021649447333959928, 0.02043156803101652, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.0]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+               -  name: Web_rear_skin_te
+                  material: glass_biax
+                  web: rear_web
+                  thickness:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0026625400783972237, 0.0025900700234221716, 0.0025175999684471195, 0.0024451299134720674, 0.0023726598584970127, 0.002300189803521959, 0.002227719748546904, 0.002154490479484672, 0.0020797427822479954, 0.002002717442749689, 0.0019226552469024875, 0.0018387969806192307, 0.0017503834298126966, 0.001661467457919111, 0.0015761019283745596, 0.0014983397046151392, 0.0014322336500769564, 0.0013818366281961518, 0.0013512015024088637, 0.0013370346233662605, 0.0013360423417192616, 0.0013449310081189907, 0.0013604069732165167, 0.001379176587662875, 0.0013979462021091273, 0.0014167158165554958, 0.0]
+                  fiber_orientation:
+                      grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                      values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+            joint: {position: 0.7, mass: 2000.0, cost: 50000.0}
+            root: {d_f: 0.03, sigma_max: 675000000.0}
+        elastic_properties_mb:
+            six_x_six:
+                reference_axis: *id001
+                twist: *id002
+                stiff_matrix:
+                    grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                    values:
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 32748819602.044052, 0.0, 0.0, 0.0, 79817877705.99065, 0.0, 0.0, 79816089202.79771, 0.0, 46703034460.85055]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 29269296309.029186, 0.0, 0.0, 0.0, 70424488629.3895, 0.0, 0.0, 73395922226.39638, 0.0, 38290517743.32058]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 26542635031.770164, 0.0, 0.0, 0.0, 63915666243.90998, 0.0, 0.0, 58139940962.65911, 0.0, 57556560024.81563]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 22921054629.197315, 0.0, 0.0, 0.0, 51097360722.409904, 0.0, 0.0, 40036755757.97792, 0.0, 45849813242.52818]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 19948144148.15295, 0.0, 0.0, 0.0, 39336729641.85705, 0.0, 0.0, 27009940367.865105, 0.0, 30077041101.894863]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 18459126144.416157, 0.0, 0.0, 0.0, 31989932546.255142, 0.0, 0.0, 19199747775.204952, 0.0, 20082805527.461452]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 17763745145.629593, 0.0, 0.0, 0.0, 27546036502.444378, 0.0, 0.0, 14986315678.234623, 0.0, 14161382505.931675]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 17269063187.590694, 0.0, 0.0, 0.0, 24475059917.074398, 0.0, 0.0, 11593139086.805729, 0.0, 9924404198.616144]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 16757435584.611069, 0.0, 0.0, 0.0, 22462251949.772923, 0.0, 0.0, 9330609445.826672, 0.0, 7372246264.740265]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 16182288231.421116, 0.0, 0.0, 0.0, 21178839111.572823, 0.0, 0.0, 8101153356.835218, 0.0, 6356524712.201541]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 15581512731.933876, 0.0, 0.0, 0.0, 20305389815.111435, 0.0, 0.0, 7179257437.135926, 0.0, 5683753842.676036]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 14911929943.477318, 0.0, 0.0, 0.0, 19383928937.608448, 0.0, 0.0, 6288625813.578361, 0.0, 4992463477.248186]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 14179853157.625687, 0.0, 0.0, 0.0, 18371168185.206333, 0.0, 0.0, 5497713509.657534, 0.0, 4403409939.877356]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 13338822882.605158, 0.0, 0.0, 0.0, 16793844832.458796, 0.0, 0.0, 4607426429.916221, 0.0, 3540414634.381809]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 12478770549.402626, 0.0, 0.0, 0.0, 14631832193.440983, 0.0, 0.0, 3747583788.7898345, 0.0, 2729650041.8326283]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 11498711467.764061, 0.0, 0.0, 0.0, 11713567289.33083, 0.0, 0.0, 2910568559.2353234, 0.0, 1883217952.4910202]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 10591129733.765127, 0.0, 0.0, 0.0, 9389053590.92738, 0.0, 0.0, 2236101675.4891753, 0.0, 1259994507.9741213]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 9605629655.850397, 0.0, 0.0, 0.0, 7102604261.135485, 0.0, 0.0, 1702481055.0781834, 0.0, 855339830.0481719]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 8657100450.851849, 0.0, 0.0, 0.0, 5221321133.290089, 0.0, 0.0, 1276531120.7623186, 0.0, 568687921.3142664]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 7763734916.575839, 0.0, 0.0, 0.0, 3760627103.3135266, 0.0, 0.0, 937100164.7170655, 0.0, 365678721.49144584]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 6917066330.82554, 0.0, 0.0, 0.0, 2652084274.5525007, 0.0, 0.0, 670101178.9089534, 0.0, 224890997.48379892]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 6118214652.326405, 0.0, 0.0, 0.0, 1832615667.972143, 0.0, 0.0, 464416249.20065117, 0.0, 130410638.53363162]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 5366301646.386568, 0.0, 0.0, 0.0, 1243836266.2657063, 0.0, 0.0, 309705780.9317471, 0.0, 69446629.13674717]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 4624525655.414708, 0.0, 0.0, 0.0, 823715501.294238, 0.0, 0.0, 194181680.17085424, 0.0, 33875930.475585975]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 3756966800.5858583, 0.0, 0.0, 0.0, 497031438.19828683, 0.0, 0.0, 110159978.43997467, 0.0, 17771438.35959379]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 3002667919.082592, 0.0, 0.0, 0.0, 293618932.3980963, 0.0, 0.0, 57739650.10480893, 0.0, 8955833.205220606]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 2333751478.1029825, 0.0, 0.0, 0.0, 164308766.49509096, 0.0, 0.0, 27305811.603469398, 0.0, 4304511.429488569]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1722910658.8126574, 0.0, 0.0, 0.0, 83482625.38600929, 0.0, 0.0, 10832447.181258008, 0.0, 1725468.483677751]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 1140924643.6846573, 0.0, 0.0, 0.0, 35370458.88742422, 0.0, 0.0, 3190261.4018978863, 0.0, 537392.998532201]
+                       -  [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 498884221.68742204, 0.0, 0.0, 0.0, 5962411.517732997, 0.0, 0.0, 474261.81513902923, 0.0, 97743.32975955482]
+                inertia_matrix:
+                    grid: [0.0, 0.034482758620689655, 0.06896551724137931, 0.10344827586206896, 0.13793103448275862, 0.1724137931034483, 0.20689655172413793, 0.24137931034482757, 0.27586206896551724, 0.3103448275862069, 0.3448275862068966, 0.3793103448275862, 0.41379310344827586, 0.4482758620689655, 0.48275862068965514, 0.5172413793103449, 0.5517241379310345, 0.5862068965517241, 0.6206896551724138, 0.6551724137931034, 0.6896551724137931, 0.7241379310344828, 0.7586206896551724, 0.7931034482758621, 0.8275862068965517, 0.8620689655172413, 0.896551724137931, 0.9310344827586207, 0.9655172413793103, 1.0]
+                    values:
+                       -  [2266.13610200771, 0.0, 0.0, 0.0, 0.0, 0.34319063364536745, 2266.13610200771, 0.0, 0.0, 0.0, -41.8210059170226, 2266.13610200771, -0.34319063364536745, 41.8210059170226, 0.0, 5524.5621831634535, 5524.5621831634535, 0.0, 0.0, 0.0, 11048.868242855573]
+                       -  [1858.301118091174, 0.0, 0.0, 0.0, 0.0, -11.297702179585002, 1858.301118091174, 0.0, 0.0, 0.0, -16.832931041727274, 1858.301118091174, 11.297702179585002, 16.832931041727274, 0.0, 4653.475332350015, 4653.475332350015, 0.0, 0.0, 0.0, 9136.793946976743]
+                       -  [1560.0664571586044, 0.0, 0.0, 0.0, 0.0, -162.4067403089141, 1560.0664571586044, 0.0, 0.0, 0.0, 116.54631245146022, 1560.0664571586044, 162.4067403089141, -116.54631245146022, 0.0, 3987.9739776232577, 3987.9739776232577, 0.0, 0.0, 0.0, 7182.720895587196]
+                       -  [1299.8540661888198, 0.0, 0.0, 0.0, 0.0, -85.5337136845884, 1299.8540661888198, 0.0, 0.0, 0.0, 266.3416574070143, 1299.8540661888198, 85.5337136845884, -266.3416574070143, 0.0, 3077.56208144511, 3077.56208144511, 0.0, 0.0, 0.0, 4991.064297367684]
+                       -  [1001.8782487646879, 0.0, 0.0, 0.0, 0.0, -44.02045945169151, 1001.8782487646879, 0.0, 0.0, 0.0, 226.9481082761128, 1001.8782487646879, 44.02045945169151, -226.9481082761128, 0.0, 2299.8240687235534, 2299.8240687235534, 0.0, 0.0, 0.0, 3276.781700790323]
+                       -  [816.6384046362829, 0.0, 0.0, 0.0, 0.0, -49.593735100292584, 816.6384046362829, 0.0, 0.0, 0.0, 200.49428504303512, 816.6384046362829, 49.593735100292584, -200.49428504303512, 0.0, 1808.0059109380554, 1808.0059109380554, 0.0, 0.0, 0.0, 2356.3811151242107]
+                       -  [695.9667876820928, 0.0, 0.0, 0.0, 0.0, -55.92282225744893, 695.9667876820928, 0.0, 0.0, 0.0, 155.21602990154582, 695.9667876820928, 55.92282225744893, -155.21602990154582, 0.0, 1493.6689749359812, 1493.6689749359812, 0.0, 0.0, 0.0, 1861.1018823336735]
+                       -  [608.2036832410207, 0.0, 0.0, 0.0, 0.0, -61.74862011610669, 608.2036832410207, 0.0, 0.0, 0.0, 131.35217536049464, 608.2036832410207, 61.74862011610669, -131.35217536049464, 0.0, 1276.6038351371872, 1276.6038351371872, 0.0, 0.0, 0.0, 1528.257398346268]
+                       -  [544.609780327312, 0.0, 0.0, 0.0, 0.0, -75.10890667410861, 544.609780327312, 0.0, 0.0, 0.0, 104.94776780565337, 544.609780327312, 75.10890667410861, -104.94776780565337, 0.0, 1130.7597655354784, 1130.7597655354784, 0.0, 0.0, 0.0, 1315.2890312101972]
+                       -  [500.76647215794253, 0.0, 0.0, 0.0, 0.0, -90.7382166945539, 500.76647215794253, 0.0, 0.0, 0.0, 98.0909474640886, 500.76647215794253, 90.7382166945539, -98.0909474640886, 0.0, 1038.6994851917152, 1038.6994851917152, 0.0, 0.0, 0.0, 1188.1040750193588]
+                       -  [472.03298432470075, 0.0, 0.0, 0.0, 0.0, -104.05592117032795, 472.03298432470075, 0.0, 0.0, 0.0, 91.52812026554994, 472.03298432470075, 104.05592117032795, -91.52812026554994, 0.0, 981.9460327754874, 981.9460327754874, 0.0, 0.0, 0.0, 1109.525770402197]
+                       -  [450.1969147937057, 0.0, 0.0, 0.0, 0.0, -119.11464259875358, 450.1969147937057, 0.0, 0.0, 0.0, 85.49870296836563, 450.1969147937057, 119.11464259875358, -85.49870296836563, 0.0, 926.2327421708949, 926.2327421708949, 0.0, 0.0, 0.0, 1036.1748612232273]
+                       -  [432.24320936210444, 0.0, 0.0, 0.0, 0.0, -129.4446489315814, 432.24320936210444, 0.0, 0.0, 0.0, 80.41967161261549, 432.24320936210444, 129.4446489315814, -80.41967161261549, 0.0, 875.2427985385591, 875.2427985385591, 0.0, 0.0, 0.0, 971.50845817447]
+                       -  [409.21977234083306, 0.0, 0.0, 0.0, 0.0, -144.0419768886715, 409.21977234083306, 0.0, 0.0, 0.0, 71.87649411791169, 409.21977234083306, 144.0419768886715, -71.87649411791169, 0.0, 786.3439107843598, 786.3439107843598, 0.0, 0.0, 0.0, 867.0451669470748]
+                       -  [383.70316230981757, 0.0, 0.0, 0.0, 0.0, -137.74124387621134, 383.70316230981757, 0.0, 0.0, 0.0, 62.09597129398056, 383.70316230981757, 137.74124387621134, -62.09597129398056, 0.0, 683.676377878278, 683.676377878278, 0.0, 0.0, 0.0, 750.0446366222365]
+                       -  [347.04287825419436, 0.0, 0.0, 0.0, 0.0, -113.28940463445, 347.04287825419436, 0.0, 0.0, 0.0, 56.458009871144775, 347.04287825419436, 113.28940463445, -56.458009871144775, 0.0, 542.3664432951545, 542.3664432951545, 0.0, 0.0, 0.0, 594.2458260941024]
+                       -  [314.0267228095111, 0.0, 0.0, 0.0, 0.0, -98.74149367789272, 314.0267228095111, 0.0, 0.0, 0.0, 42.78330561000389, 314.0267228095111, 98.74149367789272, -42.78330561000389, 0.0, 431.5326673833775, 431.5326673833775, 0.0, 0.0, 0.0, 471.39285624022637]
+                       -  [277.20220784848993, 0.0, 0.0, 0.0, 0.0, -76.81398284439555, 277.20220784848993, 0.0, 0.0, 0.0, 31.897131292761998, 277.20220784848993, 76.81398284439555, -31.897131292761998, 0.0, 329.2909687610407, 329.2909687610407, 0.0, 0.0, 0.0, 359.4305271695023]
+                       -  [241.50886974003694, 0.0, 0.0, 0.0, 0.0, -57.32665185830027, 241.50886974003694, 0.0, 0.0, 0.0, 23.806350864501, 241.50886974003694, 57.32665185830027, -23.806350864501, 0.0, 244.26252902873944, 244.26252902873944, 0.0, 0.0, 0.0, 266.54100696599335]
+                       -  [208.21740527433013, 0.0, 0.0, 0.0, 0.0, -41.297890906546584, 208.21740527433013, 0.0, 0.0, 0.0, 17.576808750905876, 208.21740527433013, 41.297890906546584, -17.576808750905876, 0.0, 176.74425503625503, 176.74425503625503, 0.0, 0.0, 0.0, 192.76644437731068]
+                       -  [758.6732408195838, 0.0, 0.0, 0.0, 0.0, -121.26684297311913, 758.6732408195838, 0.0, 0.0, 0.0, 53.780471104115456, 758.6732408195838, 121.26684297311913, -53.780471104115456, 0.0, 124.46491605844056, 124.46491605844056, 0.0, 0.0, 0.0, 135.64491831474672]
+                       -  [149.71361958875974, 0.0, 0.0, 0.0, 0.0, -18.39671868765824, 149.71361958875974, 0.0, 0.0, 0.0, 8.52049723250465, 149.71361958875974, 18.39671868765824, -8.52049723250465, 0.0, 85.12985612254491, 85.12985612254491, 0.0, 0.0, 0.0, 92.66088364525771]
+                       -  [124.65929900354953, 0.0, 0.0, 0.0, 0.0, -11.053765580545475, 124.65929900354953, 0.0, 0.0, 0.0, 5.050464547489613, 124.65929900354953, 11.053765580545475, -5.050464547489613, 0.0, 56.469969546555305, 56.469969546555305, 0.0, 0.0, 0.0, 61.34202157996846]
+                       -  [101.88440268813875, 0.0, 0.0, 0.0, 0.0, -6.119909739374311, 101.88440268813875, 0.0, 0.0, 0.0, 2.5280830817062094, 101.88440268813875, 6.119909739374311, -2.5280830817062094, 0.0, 35.99439166794374, 35.99439166794374, 0.0, 0.0, 0.0, 38.95394554284648]
+                       -  [79.52988358380149, 0.0, 0.0, 0.0, 0.0, -2.70490010380025, 79.52988358380149, 0.0, 0.0, 0.0, 0.9190737738357078, 79.52988358380149, 2.70490010380025, -0.9190737738357078, 0.0, 21.163993642953475, 21.163993642953475, 0.0, 0.0, 0.0, 22.79798213800743]
+                       -  [61.87548204973341, 0.0, 0.0, 0.0, 0.0, -1.0881258432772134, 61.87548204973341, 0.0, 0.0, 0.0, 0.26416379118333266, 61.87548204973341, 1.0881258432772134, -0.26416379118333266, 0.0, 11.967152293607064, 11.967152293607064, 0.0, 0.0, 0.0, 12.813989024142682]
+                       -  [47.30555123439432, 0.0, 0.0, 0.0, 0.0, -0.45362448291209767, 47.30555123439432, 0.0, 0.0, 0.0, 0.052400452846024195, 47.30555123439432, 0.45362448291209767, -0.052400452846024195, 0.0, 6.289740918936498, 6.289740918936498, 0.0, 0.0, 0.0, 6.694723560566244]
+                       -  [33.973089321207176, 0.0, 0.0, 0.0, 0.0, -0.15434459526002964, 33.973089321207176, 0.0, 0.0, 0.0, -0.0018094826814765374, 33.973089321207176, 0.15434459526002964, 0.0018094826814765374, 0.0, 2.8425798564212146, 2.8425798564212146, 0.0, 0.0, 0.0, 3.0066829526309737]
+                       -  [22.48054082367676, 0.0, 0.0, 0.0, 0.0, -0.04561194305048341, 22.48054082367676, 0.0, 0.0, 0.0, -0.020093423149225458, 22.48054082367676, 0.04561194305048341, 0.020093423149225458, 0.0, 1.0604482080759894, 1.0604482080759894, 0.0, 0.0, 0.0, 1.1115266286300542]
+                       -  [10.132577637481155, 0.0, 0.0, 0.0, 0.0, 0.22902956968390698, 10.132577637481155, 0.0, 0.0, 0.0, 0.007135739831967342, 10.132577637481155, -0.22902956968390698, -0.007135739831967342, 0.0, 0.17800255921715422, 0.17800255921715422, 0.0, 0.0, 0.0, 0.18693989853637416]
+        aerodynamic_control:
+            te_flaps:
+                -  span_start: 0.7
+                   span_end: 0.71
+                   chord_start: 0.8
+                   delta_max_pos: 0.17453292519943295   # 10 deg
+                   delta_max_neg: -0.17453292519943295   # -10 deg
+    hub: {cone_angle: 0.03490658503988659, diameter: 6.0, drag_coefficient: 0.5, hub_material: steel, spinner_material: glass_biax, flange_t2shell_t: 4.0, flange_OD2hub_D: 0.5, flange_ID2OD: 0.8, hub_blade_spacing_margin: 1.2, hub_stress_concentration: 2.5, n_front_brackets: 3, n_rear_brackets: 3, clearance_hub_spinner: 0.75, spin_hole_incr: 1.2, pitch_system_scaling_factor: 0.54, spinner_gust_ws: 70.0}
+    nacelle:
+        drivetrain:
+            diameter: 3.0
+            uptilt: 0.06981317007977318
+            distance_tt_hub: 3.0
+            distance_hub2mb: 1.912
+            distance_mb2mb: 0.368
+            overhang: 7.0
+            lss_diameter: [0.577, 0.577]
+            lss_wall_thickness: [0.288, 0.288]
+            generator_length: 2.0
+            hss_length: 1.5
+            hss_diameter: [0.288, 0.288]
+            hss_wall_thickness: [0.144, 0.144]
+            bedplate_flange_width: 1.0
+            bedplate_flange_thickness: 0.05
+            bedplate_web_thickness: 0.05
+            gear_ratio: 96.76
+            planet_numbers: [3, 3, 1]
+            gear_configuration: eep
+            gearbox_efficiency: 0.95
+            mb1Type: CARB
+            mb2Type: SRB
+            uptower: true
+            lss_material: steel
+            hss_material: steel
+            bedplate_material: steel
+            distance_hub_mb: 2.0
+            distance_mb_mb: 1.0
+            generator_mass_user: 0.0
+            generator_rpm_efficiency_user:
+                grid: [0.0, 1.0]
+                values: [0.95, 0.95]
+            nose_diameter: [0.3, 0.3]
+            nose_wall_thickness: [0.1, 0.1]
+            bedplate_wall_thickness:
+                grid: [0.0, 1.0]
+                values: [0.05, 0.05]
+            brake_mass_user: 0.0
+            hvac_mass_coefficient: 0.08
+            converter_mass_user: 0.0
+            transformer_mass_user: 0.0
+            generator_radius_user: 0.0
+            damping_ratio: 0.005
+    tower:
+        outer_shape_bem:
+            reference_axis:
+                x:
+                    grid: [0.0, 0.09999999999999999, 0.19999999999999998, 0.3, 0.39999999999999997, 0.5, 0.6, 0.7000000000000001, 0.7999999999999999, 0.8999999999999999, 1.0]
+                    values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+                y:
+                    grid: [0.0, 0.09999999999999999, 0.19999999999999998, 0.3, 0.39999999999999997, 0.5, 0.6, 0.7000000000000001, 0.7999999999999999, 0.8999999999999999, 1.0]
+                    values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+                z:
+                    grid: [0.0, 0.09999999999999999, 0.19999999999999998, 0.3, 0.39999999999999997, 0.5, 0.6, 0.7000000000000001, 0.7999999999999999, 0.8999999999999999, 1.0]
+                    values: [0.0, 13.7, 27.4, 41.1, 54.8, 68.5, 82.2, 95.9, 109.6, 123.3, 137.0]
+            outer_diameter:
+                grid: [0.0, 0.09999999999999999, 0.19999999999999998, 0.3, 0.39999999999999997, 0.5, 0.6, 0.7000000000000001, 0.7999999999999999, 0.8999999999999999, 1.0]
+                values: [6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 6.0, 5.89079213, 5.53032592]
+            drag_coefficient:
+                grid: [0.0, 1.0]
+                values: [1.0, 1.0]
+        internal_structure_2d_fem:
+            outfitting_factor: 1.07
+            reference_axis:
+                x:
+                    grid: [0.0, 0.09999999999999999, 0.19999999999999998, 0.3, 0.39999999999999997, 0.5, 0.6, 0.7000000000000001, 0.7999999999999999, 0.9, 1.0]
+                    values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+                y:
+                    grid: [0.0, 0.09999999999999999, 0.19999999999999998, 0.3, 0.39999999999999997, 0.5, 0.6, 0.7000000000000001, 0.7999999999999999, 0.9, 1.0]
+                    values: [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]
+                z:
+                    grid: [0.0, 0.09999999999999999, 0.19999999999999998, 0.3, 0.39999999999999997, 0.5, 0.6, 0.7000000000000001, 0.7999999999999999, 0.9, 1.0]
+                    values: [0.0, 13.7, 27.4, 41.1, 54.8, 68.5, 82.2, 95.9, 109.6, 123.3, 137.0]
+            layers:
+               -  name: tower_wall
+                  material: steel
+                  thickness:
+                      grid: [0.0, 0.09999999999999999, 0.19999999999999998, 0.3, 0.39999999999999997, 0.5, 0.6, 0.7000000000000001, 0.7999999999999999, 0.8999999999999999, 1.0]
+                      values: [0.06515525, 0.05866464, 0.05197538, 0.04607753, 0.04094533, 0.03582223, 0.03074005, 0.02575014, 0.02129438, 0.01803766, 0.01803766]
+    RNA:
+        elastic_properties_mb:
+            mass: 423388.78944786976
+            inertia: [216096950.67833546, 136888607.7236734, 135847036.4055429, -16.66395864047763, -837536.8079931606, 48222.277901162495]
+            center_mass: [-5.243616553567704, -0.07419957741293014, 2.0970371288617162]
+airfoils:
+   -  name: circular
+      coordinates:
+          x: [1.0, 0.99901, 0.99606, 0.99114, 0.98429, 0.97553, 0.96489, 0.95241, 0.93815, 0.92216, 0.90451, 0.88526, 0.86448, 0.84227, 0.81871, 0.79389, 0.76791, 0.74088, 0.71289, 0.68406, 0.65451, 0.62434, 0.59369, 0.56267, 0.5314, 0.5, 0.4686, 0.43733, 0.40631, 0.37566, 0.34549, 0.31594, 0.28711, 0.25912, 0.23209, 0.20611, 0.18129, 0.15773, 0.13552, 0.11474, 0.09549, 0.07784, 0.06185, 0.04759, 0.03511, 0.02447, 0.01571, 0.00886, 0.00394, 0.00099, 0.0, 0.00099, 0.00394, 0.00886, 0.01571, 0.02447, 0.03511, 0.04759, 0.06185, 0.07784, 0.09549, 0.11474, 0.13552, 0.15773, 0.18129, 0.20611, 0.23209, 0.25912, 0.28711, 0.31594, 0.34549, 0.37566, 0.40631, 0.43733, 0.4686, 0.5, 0.5314, 0.56267, 0.59369, 0.62434, 0.65451, 0.68406, 0.71289, 0.74088, 0.76791, 0.79389, 0.81871, 0.84227, 0.86448, 0.88526, 0.90451, 0.92216, 0.93815, 0.95241, 0.96489, 0.97553, 0.98429, 0.99114, 0.99606, 0.99901, 1.0]
+          y: [0.0, 0.0314, 0.06267, 0.09369, 0.12434, 0.15451, 0.18406, 0.21289, 0.24088, 0.26791, 0.29389, 0.31871, 0.34227, 0.36448, 0.38526, 0.40451, 0.42216, 0.43815, 0.45241, 0.46489, 0.47553, 0.48429, 0.49114, 0.49606, 0.49901, 0.5, 0.49901, 0.49606, 0.49114, 0.48429, 0.47553, 0.46489, 0.45241, 0.43815, 0.42216, 0.40451, 0.38526, 0.36448, 0.34227, 0.31871, 0.29389, 0.26791, 0.24088, 0.21289, 0.18406, 0.15451, 0.12434, 0.09369, 0.06267, 0.0314, 0.0, -0.0314, -0.06267, -0.09369, -0.12434, -0.15451, -0.18406, -0.21289, -0.24088, -0.26791, -0.29389, -0.31871, -0.34227, -0.36448, -0.38526, -0.40451, -0.42216, -0.43815, -0.45241, -0.46489, -0.47553, -0.48429, -0.49114, -0.49606, -0.49901, -0.5, -0.49901, -0.49606, -0.49114, -0.48429, -0.47553, -0.46489, -0.45241, -0.43815, -0.42216, -0.40451, -0.38526, -0.36448, -0.34227, -0.31871, -0.29389, -0.26791, -0.24088, -0.21289, -0.18406, -0.15451, -0.12434, -0.09369, -0.06267, -0.0314, 0.0]
+      relative_thickness: 1.0
+      aerodynamic_center: 0.5
+      polars:
+         -  configuration: Default
+            re: 3000000.0
+            c_m:
+                grid: [-3.141592653589793, 3.141592653589793]
+                values: [0.0, 0.0]
+            c_l:
+                grid: [-3.141592653589793, 3.141592653589793]
+                values: [0.0, 0.0]
+            c_d:
+                grid: [-3.141592653589793, 3.141592653589793]
+                values: [0.5, 0.5]
+   -  name: SNL-FFA-W3-500
+      coordinates:
+          x: [1.0, 0.99944304, 0.99812049, 0.99569352, 0.99230484, 0.98802844, 0.98281508, 0.97666422, 0.96964069, 0.96174313, 0.95297315, 0.94338928, 0.93301284, 0.92185147, 0.90995468, 0.89736121, 0.88408503, 0.8701629, 0.85565276, 0.84057695, 0.82497463, 0.80889455, 0.79236237, 0.77542101, 0.75812546, 0.7405018, 0.72259209, 0.70444539, 0.68608843, 0.66757021, 0.64892678, 0.63018643, 0.61140138, 0.59259673, 0.57380843, 0.5550757, 0.53641763, 0.51787958, 0.49948103, 0.48125155, 0.46322225, 0.44540666, 0.42784323, 0.41053864, 0.39352525, 0.37681123, 0.36041977, 0.34436494, 0.32865846, 0.31331898, 0.29834798, 0.2837658, 0.26956679, 0.25577362, 0.2423778, 0.22939648, 0.21681735, 0.20465763, 0.19290757, 0.18157496, 0.17065819, 0.16014896, 0.15005511, 0.14035465, 0.1310675, 0.12216148, 0.11365876, 0.10553619, 0.09779065, 0.09042902, 0.08341621, 0.07677403, 0.0704692, 0.06450016, 0.05888182, 0.05356799, 0.04857581, 0.04389793, 0.03949498, 0.03539484, 0.03157626, 0.02800644, 0.02471592, 0.02168071, 0.01886319, 0.01629514, 0.0139662, 0.01181764, 0.00988361, 0.00818368, 0.00663128, 0.00524853, 0.00408271, 0.00308998, 0.00219098, 0.00145967, 0.00096333, 0.00059878, 0.00028988, 7.804e-05, 0.0, 7.807e-05, 0.00029009, 0.00059937, 0.00096448, 0.00146264, 0.00219661, 0.00309879, 0.00409516, 0.00526774, 0.00665839, 0.00821941, 0.00993095, 0.01187982, 0.01404463, 0.01639219, 0.01898469, 0.02182867, 0.02489252, 0.02822001, 0.03182924, 0.03568998, 0.03984236, 0.04430035, 0.04903788, 0.05410025, 0.05948747, 0.06518787, 0.07124791, 0.07764648, 0.08439704, 0.0915234, 0.09900711, 0.10688721, 0.11514762, 0.12380644, 0.13287211, 0.14233176, 0.1522146, 0.16249918, 0.17321393, 0.18434125, 0.19590296, 0.20788328, 0.22029378, 0.23312344, 0.24637487, 0.26004146, 0.27412439, 0.28861129, 0.30349962, 0.3187741, 0.33443448, 0.35045732, 0.36684322, 0.38356093, 0.40060975, 0.41795607, 0.4355933, 0.4534925, 0.47163211, 0.48999236, 0.50853595, 0.52724867, 0.5460886, 0.5650309, 0.58404504, 0.603088, 0.62213765, 0.64114752, 0.66008031, 0.67890619, 0.69757164, 0.71604492, 0.73429135, 0.75225234, 0.76989792, 0.78719153, 0.80407383, 0.82051349, 0.83646946, 0.85189026, 0.86674791, 0.8810097, 0.89461041, 0.90752456, 0.9197304, 0.9311753, 0.94182765, 0.95167536, 0.96067486, 0.96878747, 0.97601191, 0.98233053, 0.98768615, 0.99208631, 0.99557391, 0.99806302, 0.99942968, 1.0]
+          y: [0.0105, 0.01086983, 0.0117452, 0.01334146, 0.01554892, 0.01830045, 0.02160574, 0.02544031, 0.02973944, 0.03448209, 0.03964881, 0.045193, 0.05091599, 0.05708281, 0.06358138, 0.07042743, 0.07734661, 0.08467081, 0.0921802, 0.09990118, 0.10756554, 0.11533963, 0.12314445, 0.13105863, 0.13880784, 0.14656091, 0.15414446, 0.16162243, 0.1690763, 0.17621938, 0.18309227, 0.18987002, 0.19625049, 0.20235037, 0.20831587, 0.21376127, 0.21902667, 0.22392548, 0.22835814, 0.23243074, 0.23602942, 0.23922962, 0.24206676, 0.24439517, 0.24632908, 0.24781218, 0.24907553, 0.24961759, 0.25, 0.2499146, 0.24940354, 0.2484402, 0.24723387, 0.2455593, 0.24358422, 0.24124765, 0.2386039, 0.23566026, 0.2324321, 0.22883962, 0.22496679, 0.22083239, 0.21649585, 0.21197874, 0.20722821, 0.20232328, 0.197174, 0.19203678, 0.18655863, 0.18109338, 0.17545947, 0.16968205, 0.16378555, 0.1577649, 0.15169879, 0.14556478, 0.13948626, 0.1333378, 0.1270497, 0.12086576, 0.11468985, 0.10849184, 0.1022246, 0.09589286, 0.08980724, 0.08374779, 0.07773838, 0.07187918, 0.0660103, 0.06018911, 0.0539095, 0.04732699, 0.04014879, 0.03372622, 0.02591034, 0.0200319, 0.01481159, 0.01096429, 0.00515421, 0.00237777, 0.0, -0.00676349, -0.0092701, -0.01485268, -0.01909805, -0.02425157, -0.03028001, -0.03749177, -0.04339708, -0.049743, -0.05593635, -0.06191302, -0.06758273, -0.07340171, -0.07913246, -0.08498169, -0.09099183, -0.09692059, -0.10302984, -0.10915375, -0.11531066, -0.12113778, -0.12714727, -0.13319857, -0.13898026, -0.1448503, -0.15067474, -0.15648787, -0.16231789, -0.16795081, -0.17355519, -0.17904803, -0.18436086, -0.18964752, -0.19466991, -0.19967718, -0.20448577, -0.20911273, -0.21356541, -0.21790461, -0.22189862, -0.22585022, -0.22942761, -0.23282521, -0.23594152, -0.23867787, -0.24127615, -0.24342871, -0.24536479, -0.24668824, -0.24775175, -0.2484068, -0.2487, -0.24831476, -0.2476416, -0.24639477, -0.24454631, -0.24221768, -0.23936461, -0.23593587, -0.23173768, -0.22714767, -0.22177388, -0.21593576, -0.20951266, -0.20242622, -0.19484392, -0.18680862, -0.1783067, -0.16936964, -0.16006127, -0.15031319, -0.14049402, -0.13044955, -0.12028637, -0.11020462, -0.10038818, -0.0907307, -0.08140578, -0.07271636, -0.06444497, -0.05666457, -0.04953952, -0.04299056, -0.03713052, -0.0319789, -0.02747518, -0.02370172, -0.02037524, -0.01799359, -0.01593023, -0.01421422, -0.01283805, -0.01177726, -0.01099873, -0.01045135, -0.01008163, -0.00985456, -0.00974345, -0.0097]
+      relative_thickness: 0.5
+      aerodynamic_center: 0.316
+      polars:
+         -  configuration: Default
+            re: 3000000.0
+            c_l:
+                grid: [-3.141592653589793, -2.967, -2.793, -2.618, -2.443, -2.269, -2.094, -1.92, -1.745, -1.571, -1.396, -1.222, -1.047, -0.8727, -0.6981, -0.5236, -0.3491, -0.3447, -0.3403, -0.336, -0.3316, -0.3272, -0.3229, -0.3185, -0.3142, -0.3098, -0.3054, -0.3011, -0.2967, -0.2923, -0.288, -0.2836, -0.2793, -0.2749, -0.2705, -0.2662, -0.2618, -0.2574, -0.2531, -0.2487, -0.2443, -0.24, -0.2356, -0.2313, -0.2269, -0.2225, -0.2182, -0.2138, -0.2094, -0.2051, -0.2007, -0.1963, -0.192, -0.1876, -0.1833, -0.1702, -0.1658, -0.1614, -0.1571, -0.1527, -0.1484, -0.144, -0.1396, -0.1353, -0.1309, -0.1265, -0.1222, -0.1178, -0.1134, -0.1091, -0.1047, -0.1004, -0.09599, -0.09163, -0.08727, -0.0829, -0.07854, -0.07418, -0.06981, -0.06545, -0.06109, -0.05672, -0.05236, -0.048, -0.04363, -0.03927, -0.03491, -0.03054, -0.02618, -0.02182, -0.01745, -0.01309, -0.008727, -0.004363, 0.0, 0.004363, 0.008727, 0.01309, 0.01745, 0.02182, 0.02618, 0.03054, 0.03491, 0.03927, 0.04363, 0.048, 0.05236, 0.05672, 0.06109, 0.06545, 0.06981, 0.07418, 0.07854, 0.0829, 0.08727, 0.09163, 0.09599, 0.1004, 0.1047, 0.1091, 0.1134, 0.1178, 0.1222, 0.1265, 0.1309, 0.1353, 0.1396, 0.144, 0.1484, 0.1527, 0.1571, 0.1614, 0.1658, 0.1702, 0.1745, 0.1789, 0.1833, 0.1876, 0.192, 0.1963, 0.2007, 0.2051, 0.2094, 0.2138, 0.2182, 0.2225, 0.2269, 0.2313, 0.2356, 0.24, 0.2443, 0.2487, 0.2531, 0.2574, 0.2618, 0.2662, 0.2705, 0.2749, 0.2793, 0.2836, 0.288, 0.2923, 0.2967, 0.3011, 0.3054, 0.3098, 0.3142, 0.3185, 0.3229, 0.3272, 0.3316, 0.336, 0.3403, 0.3447, 0.3491, 0.3534, 0.3578, 0.3622, 0.3665, 0.3709, 0.3752, 0.3796, 0.384, 0.3883, 0.3927, 0.3971, 0.4014, 0.4058, 0.4102, 0.4145, 0.4189, 0.4232, 0.432, 0.4363, 0.5236, 0.6981, 0.8727, 1.047, 1.222, 1.396, 1.571, 1.745, 1.92, 2.094, 2.269, 2.443, 2.618, 2.793, 2.967, 3.141592653589793]
+                values: [0.0, 0.40714078, 0.81289953, 0.93008162, 0.80570788, 0.68718404, 0.54494169, 0.37656041, 0.18883741, 0.00021815, -0.18948583, -0.37614308, -0.54546989, -0.68710449, -0.80602836, -0.93007595, -0.72015751, -0.70515936, -0.69019419, -0.67915475, -0.66786061, -0.65727639, -0.64693273, -0.635284, -0.62389666, -0.61206817, -0.60022966, -0.58756673, -0.57461366, -0.56486007, -0.55532816, -0.5406733, -0.52632889, -0.51217912, -0.49806002, -0.48835416, -0.47842258, -0.46742321, -0.45667367, -0.44284394, -0.42902143, -0.41780804, -0.40633702, -0.39581942, -0.38505722, -0.37263648, -0.36049539, -0.34506937, -0.3296286, -0.31545814, -0.30095692, -0.2860416, -0.27146527, -0.25335615, -0.2356488, -0.19197192, -0.17782696, -0.1630303, -0.14856993, -0.13093861, -0.11369511, -0.10027673, -0.08690435, -0.07389353, -0.06058013, -0.04536829, -0.03050204, -0.01269553, 0.00508067, 0.01820745, 0.03163179, 0.04307711, 0.05481563, 0.06700856, 0.07920148, 0.08762474, 0.09602566, 0.10442657, 0.1128242, 0.09021293, 0.06760165, 0.02792252, -0.01167932, -0.04928233, -0.08697693, -0.13186995, -0.17676297, -0.21289757, -0.24894256, -0.28498756, -0.32106637, -0.29241199, -0.2637379, -0.23187988, -0.2000289, -0.16906038, -0.13808483, -0.10782229, -0.07758057, -0.04550304, -0.01349762, 0.01609741, 0.04576101, 0.0762379, 0.10671479, 0.13732047, 0.16785608, 0.19604013, 0.22429055, 0.25464986, 0.28500917, 0.31249396, 0.33991385, 0.37015558, 0.40046275, 0.42588363, 0.4513045, 0.47992864, 0.5078408, 0.53268105, 0.55694035, 0.5814703, 0.60600148, 0.63066665, 0.65590514, 0.67693148, 0.69747994, 0.7203345, 0.74318169, 0.76384612, 0.78497985, 0.80326702, 0.82197948, 0.84341723, 0.86437157, 0.88110231, 0.89780326, 0.91472786, 0.93204606, 0.94897065, 0.96628885, 0.98387325, 1.00105877, 1.01411654, 1.02715565, 1.04271768, 1.05863443, 1.07016792, 1.08143929, 1.09551271, 1.1092773, 1.11989818, 1.13050923, 1.14508556, 1.15999998, 1.1684483, 1.17670462, 1.18934046, 1.2019438, 1.20909846, 1.21644432, 1.22875936, 1.2413608, 1.24957776, 1.25760215, 1.27075995, 1.28391679, 1.2928109, 1.30190692, 1.3092935, 1.31685187, 1.32500185, 1.33296825, 1.3401791, 1.34736905, 1.35284224, 1.35844848, 1.36743077, 1.37620892, 1.38070173, 1.38507326, 1.39277567, 1.40049604, 1.40556335, 1.41074805, 1.41373799, 1.41665998, 1.42088857, 1.42513985, 1.43067102, 1.43631611, 1.43883222, 1.44753671, 1.45353173, 1.32867993, 1.15146909, 0.98157784, 0.7792427, 0.53734726, 0.27069405, -0.00021815, -0.18883741, -0.37656041, -0.54494169, -0.68718404, -0.80570788, -0.93008162, -0.81289953, -0.40714078, 0.0]
+            c_d:
+                grid: [-3.141592653589793, -2.967, -2.793, -2.618, -2.443, -2.269, -2.094, -1.92, -1.745, -1.571, -1.396, -1.222, -1.047, -0.8727, -0.6981, -0.5236, -0.3491, -0.3447, -0.3403, -0.336, -0.3316, -0.3272, -0.3229, -0.3185, -0.3142, -0.3098, -0.3054, -0.3011, -0.2967, -0.2923, -0.288, -0.2836, -0.2793, -0.2749, -0.2705, -0.2662, -0.2618, -0.2574, -0.2531, -0.2487, -0.2443, -0.24, -0.2356, -0.2313, -0.2269, -0.2225, -0.2182, -0.2138, -0.2094, -0.2051, -0.2007, -0.1963, -0.192, -0.1876, -0.1833, -0.1702, -0.1658, -0.1614, -0.1571, -0.1527, -0.1484, -0.144, -0.1396, -0.1353, -0.1309, -0.1265, -0.1222, -0.1178, -0.1134, -0.1091, -0.1047, -0.1004, -0.09599, -0.09163, -0.08727, -0.0829, -0.07854, -0.07418, -0.06981, -0.06545, -0.06109, -0.05672, -0.05236, -0.048, -0.04363, -0.03927, -0.03491, -0.03054, -0.02618, -0.02182, -0.01745, -0.01309, -0.008727, -0.004363, 0.0, 0.004363, 0.008727, 0.01309, 0.01745, 0.02182, 0.02618, 0.03054, 0.03491, 0.03927, 0.04363, 0.048, 0.05236, 0.05672, 0.06109, 0.06545, 0.06981, 0.07418, 0.07854, 0.0829, 0.08727, 0.09163, 0.09599, 0.1004, 0.1047, 0.1091, 0.1134, 0.1178, 0.1222, 0.1265, 0.1309, 0.1353, 0.1396, 0.144, 0.1484, 0.1527, 0.1571, 0.1614, 0.1658, 0.1702, 0.1745, 0.1789, 0.1833, 0.1876, 0.192, 0.1963, 0.2007, 0.2051, 0.2094, 0.2138, 0.2182, 0.2225, 0.2269, 0.2313, 0.2356, 0.24, 0.2443, 0.2487, 0.2531, 0.2574, 0.2618, 0.2662, 0.2705, 0.2749, 0.2793, 0.2836, 0.288, 0.2923, 0.2967, 0.3011, 0.3054, 0.3098, 0.3142, 0.3185, 0.3229, 0.3272, 0.3316, 0.336, 0.3403, 0.3447, 0.3491, 0.3534, 0.3578, 0.3622, 0.3665, 0.3709, 0.3752, 0.3796, 0.384, 0.3883, 0.3927, 0.3971, 0.4014, 0.4058, 0.4102, 0.4145, 0.4189, 0.4232, 0.432, 0.4363, 0.5236, 0.6981, 0.8727, 1.047, 1.222, 1.396, 1.571, 1.745, 1.92, 2.094, 2.269, 2.443, 2.618, 2.793, 2.967, 3.141592653589793]
+                values: [0.001, 0.001, 0.06715407, 0.27579101, 0.53273504, 0.80586295, 1.06691425, 1.28351794, 1.43386367, 1.49995191, 1.43344694, 1.28396838, 1.06608359, 0.80603032, 0.53196586, 0.27580135, 0.09667969, 0.09329745, 0.08992972, 0.08821597, 0.08646241, 0.08472683, 0.0830307, 0.0813119, 0.07963221, 0.07791507, 0.07619801, 0.07452964, 0.07282252, 0.0711641, 0.06954337, 0.06787344, 0.06624142, 0.06459651, 0.06295216, 0.06139133, 0.0597942, 0.058228, 0.0566974, 0.0551658, 0.05363479, 0.05217311, 0.05067756, 0.04924102, 0.04777108, 0.04633965, 0.04494082, 0.0435406, 0.04214103, 0.04081765, 0.03946361, 0.03815057, 0.03686738, 0.03558726, 0.03433635, 0.03079542, 0.02961671, 0.02852019, 0.02744859, 0.02641688, 0.02540891, 0.02440979, 0.02341147, 0.02250835, 0.02158423, 0.02073259, 0.0199003, 0.01908825, 0.01827755, 0.01758555, 0.01687783, 0.01626738, 0.01564136, 0.01509077, 0.01454019, 0.01421797, 0.01389669, 0.0135754, 0.01325399, 0.0137825, 0.01431101, 0.01528844, 0.01626399, 0.01695925, 0.01765615, 0.01841168, 0.01916721, 0.01946249, 0.01975674, 0.02005098, 0.02034516, 0.01965016, 0.01895468, 0.018375, 0.01779547, 0.01739709, 0.01699864, 0.01672001, 0.01644156, 0.01620958, 0.01597817, 0.01592367, 0.01586909, 0.01587433, 0.01587956, 0.01596133, 0.01604297, 0.01630722, 0.01657206, 0.01682591, 0.01707976, 0.01751889, 0.01795716, 0.01836552, 0.01877502, 0.01943626, 0.0200975, 0.02073305, 0.02135272, 0.02218689, 0.02300299, 0.02390907, 0.02481614, 0.02573859, 0.02668251, 0.02784299, 0.0289771, 0.03012201, 0.03126824, 0.03251686, 0.03379512, 0.03517202, 0.03658094, 0.03795275, 0.03929333, 0.04088302, 0.04247473, 0.04407035, 0.04570307, 0.04729869, 0.04893142, 0.05061413, 0.05225874, 0.05413234, 0.05600734, 0.05779872, 0.05963205, 0.06163935, 0.06360102, 0.06553337, 0.06742149, 0.0695325, 0.0716445, 0.07356429, 0.07552877, 0.07774053, 0.07990202, 0.08199441, 0.08408838, 0.08634026, 0.08864353, 0.09069122, 0.09278654, 0.09505115, 0.09726452, 0.09937004, 0.10147566, 0.10366737, 0.10591013, 0.10812404, 0.11038943, 0.11266762, 0.11489406, 0.11717878, 0.11946371, 0.12171533, 0.12401914, 0.12622196, 0.12837471, 0.13070945, 0.13299169, 0.1351835, 0.13737426, 0.13958591, 0.14184901, 0.14414925, 0.14639722, 0.14862816, 0.15085819, 0.15299301, 0.15517767, 0.15735351, 0.16167334, 0.16371899, 0.27580135, 0.53196586, 0.80603032, 1.06608359, 1.28396838, 1.43344694, 1.49995191, 1.43386367, 1.28351794, 1.06691425, 0.80586295, 0.53273504, 0.27579101, 0.06715407, 0.001, 0.001]
+            c_m:
+                grid: [-3.141592653589793, -2.967, -2.793, -2.618, -2.443, -2.269, -2.094, -1.92, -1.745, -1.571, -1.396, -1.222, -1.047, -0.8727, -0.6981, -0.5236, -0.3491, -0.3447, -0.3403, -0.336, -0.3316, -0.3272, -0.3229, -0.3185, -0.3142, -0.3098, -0.3054, -0.3011, -0.2967, -0.2923, -0.288, -0.2836, -0.2793, -0.2749, -0.2705, -0.2662, -0.2618, -0.2574, -0.2531, -0.2487, -0.2443, -0.24, -0.2356, -0.2313, -0.2269, -0.2225, -0.2182, -0.2138, -0.2094, -0.2051, -0.2007, -0.1963, -0.192, -0.1876, -0.1833, -0.1702, -0.1658, -0.1614, -0.1571, -0.1527, -0.1484, -0.144, -0.1396, -0.1353, -0.1309, -0.1265, -0.1222, -0.1178, -0.1134, -0.1091, -0.1047, -0.1004, -0.09599, -0.09163, -0.08727, -0.0829, -0.07854, -0.07418, -0.06981, -0.06545, -0.06109, -0.05672, -0.05236, -0.048, -0.04363, -0.03927, -0.03491, -0.03054, -0.02618, -0.02182, -0.01745, -0.01309, -0.008727, -0.004363, 0.0, 0.004363, 0.008727, 0.01309, 0.01745, 0.02182, 0.02618, 0.03054, 0.03491, 0.03927, 0.04363, 0.048, 0.05236, 0.05672, 0.06109, 0.06545, 0.06981, 0.07418, 0.07854, 0.0829, 0.08727, 0.09163, 0.09599, 0.1004, 0.1047, 0.1091, 0.1134, 0.1178, 0.1222, 0.1265, 0.1309, 0.1353, 0.1396, 0.144, 0.1484, 0.1527, 0.1571, 0.1614, 0.1658, 0.1702, 0.1745, 0.1789, 0.1833, 0.1876, 0.192, 0.1963, 0.2007, 0.2051, 0.2094, 0.2138, 0.2182, 0.2225, 0.2269, 0.2313, 0.2356, 0.24, 0.2443, 0.2487, 0.2531, 0.2574, 0.2618, 0.2662, 0.2705, 0.2749, 0.2793, 0.2836, 0.288, 0.2923, 0.2967, 0.3011, 0.3054, 0.3098, 0.3142, 0.3185, 0.3229, 0.3272, 0.3316, 0.336, 0.3403, 0.3447, 0.3491, 0.3534, 0.3578, 0.3622, 0.3665, 0.3709, 0.3752, 0.3796, 0.384, 0.3883, 0.3927, 0.3971, 0.4014, 0.4058, 0.4102, 0.4145, 0.4189, 0.4232, 0.432, 0.4363, 0.5236, 0.6981, 0.8727, 1.047, 1.222, 1.396, 1.571, 1.745, 1.92, 2.094, 2.269, 2.443, 2.618, 2.793, 2.967, 3.141592653589793]
+                values: [0.0, 0.3898852, 0.55614818, 0.53391242, 0.48248835, 0.47372423, 0.4817505, 0.49019785, 0.48916683, 0.47260655, 0.42662507, 0.37111778, 0.31155164, 0.25305726, 0.19577758, 0.13088047, -0.00306247, -0.0389913, -0.07460854, -0.07554475, -0.07650245, -0.07735959, -0.07819726, -0.07900414, -0.07979253, -0.08064921, -0.08150598, -0.08229437, -0.08310082, -0.08370586, -0.08429716, -0.08515312, -0.08599078, -0.08674817, -0.08750298, -0.08799573, -0.08849993, -0.08895372, -0.08939719, -0.0900013, -0.09060423, -0.09099842, -0.09140156, -0.09174648, -0.09209942, -0.09245236, -0.09279729, -0.09335036, -0.09390362, -0.09429782, -0.09470118, -0.09510454, -0.09549874, -0.09610315, -0.09669444, -0.09739861, -0.09760022, -0.09775148, -0.0978993, -0.09820112, -0.09849677, -0.09835036, -0.09819879, -0.0980017, -0.09780001, -0.09764875, -0.09750093, -0.09755011, -0.09759468, -0.09710194, -0.09659638, -0.09580799, -0.09499936, -0.09410004, -0.09320073, -0.09154881, -0.08990007, -0.08825133, -0.08659513, -0.07990024, -0.07320534, -0.06384314, -0.05450026, -0.04590679, -0.03729285, -0.0276502, -0.01800755, -0.00999402, -0.00200011, 0.00599379, 0.01399894, 0.01260001, 0.01120011, 0.00954988, 0.0079, 0.0065501, 0.00519989, 0.00389999, 0.00260098, 0.00114888, -0.00030002, -0.00154907, -0.00280102, -0.00410003, -0.00539904, -0.00675107, -0.00810003, -0.00914923, -0.01020108, -0.01155005, -0.01289902, -0.01395084, -0.01500006, -0.01639899, -0.01780069, -0.01865004, -0.01949939, -0.02076248, -0.02199434, -0.0228533, -0.02369096, -0.02449822, -0.02530618, -0.02629166, -0.02730004, -0.02785466, -0.02839668, -0.0292019, -0.03000754, -0.03069738, -0.0314021, -0.03184557, -0.03229935, -0.03310557, -0.03389396, -0.03435039, -0.03480486, -0.03532225, -0.03585166, -0.03636904, -0.03689845, -0.03750327, -0.03809457, -0.03839981, -0.03870465, -0.03929595, -0.03990049, -0.04020302, -0.04049866, -0.04100197, -0.04149472, -0.04184924, -0.04220406, -0.04284463, -0.04350004, -0.04380256, -0.04409821, -0.04475159, -0.04540434, -0.04579853, -0.04620332, -0.04689316, -0.04759904, -0.04815387, -0.04869589, -0.04955079, -0.05040607, -0.05104664, -0.05170226, -0.0523921, -0.05309799, -0.05390442, -0.05469281, -0.05549954, -0.05630587, -0.05704499, -0.05780172, -0.05881013, -0.05979561, -0.06070362, -0.06159056, -0.06259791, -0.06360663, -0.06464139, -0.06570022, -0.06675905, -0.06779381, -0.06890276, -0.07001364, -0.0712455, -0.07250601, -0.07373787, -0.07630924, -0.07759037, -0.14274058, -0.22187568, -0.27999169, -0.33213977, -0.38256711, -0.43014564, -0.47260655, -0.48916683, -0.49019785, -0.4817505, -0.47372423, -0.48248835, -0.53391242, -0.55905955, -0.48132062, 0.0]
+   -  name: FFA-W3-360
+      coordinates:
+          x: [1.0, 0.99944304, 0.99812049, 0.99569352, 0.99230484, 0.98802844, 0.98281508, 0.97666422, 0.96964069, 0.96174313, 0.95297315, 0.94338928, 0.93301284, 0.92185147, 0.90995468, 0.89736121, 0.88408503, 0.8701629, 0.85565276, 0.84057695, 0.82497463, 0.80889455, 0.79236237, 0.77542101, 0.75812546, 0.7405018, 0.72259209, 0.70444539, 0.68608843, 0.66757021, 0.64892678, 0.63018643, 0.61140138, 0.59259673, 0.57380843, 0.5550757, 0.53641763, 0.51787958, 0.49948103, 0.48125155, 0.46322225, 0.44540666, 0.42784323, 0.41053864, 0.39352525, 0.37681123, 0.36041977, 0.34436494, 0.32865846, 0.31331898, 0.29834798, 0.2837658, 0.26956679, 0.25577362, 0.2423778, 0.22939648, 0.21681735, 0.20465763, 0.19290757, 0.18157496, 0.17065819, 0.16014896, 0.15005511, 0.14035465, 0.1310675, 0.12216148, 0.11365876, 0.10553619, 0.09779065, 0.09042902, 0.08341621, 0.07677403, 0.0704692, 0.06450016, 0.05888182, 0.05356799, 0.04857581, 0.04389793, 0.03949498, 0.03539484, 0.03157626, 0.02800644, 0.02471592, 0.02168071, 0.01886319, 0.01629514, 0.0139662, 0.01181764, 0.00988361, 0.00818368, 0.00663128, 0.00524853, 0.00408271, 0.00308998, 0.00219098, 0.00145967, 0.00096333, 0.00059878, 0.00028988, 7.804e-05, 0.0, 7.807e-05, 0.00029009, 0.00059937, 0.00096448, 0.00146264, 0.00219661, 0.00309879, 0.00409516, 0.00526774, 0.00665839, 0.00821941, 0.00993095, 0.01187982, 0.01404463, 0.01639219, 0.01898469, 0.02182867, 0.02489252, 0.02822001, 0.03182924, 0.03568998, 0.03984236, 0.04430035, 0.04903788, 0.05410025, 0.05948747, 0.06518787, 0.07124791, 0.07764648, 0.08439704, 0.0915234, 0.09900711, 0.10688721, 0.11514762, 0.12380644, 0.13287211, 0.14233176, 0.1522146, 0.16249918, 0.17321393, 0.18434125, 0.19590296, 0.20788328, 0.22029378, 0.23312344, 0.24637487, 0.26004146, 0.27412439, 0.28861129, 0.30349962, 0.3187741, 0.33443448, 0.35045732, 0.36684322, 0.38356093, 0.40060975, 0.41795607, 0.4355933, 0.4534925, 0.47163211, 0.48999236, 0.50853595, 0.52724867, 0.5460886, 0.5650309, 0.58404504, 0.603088, 0.62213765, 0.64114752, 0.66008031, 0.67890619, 0.69757164, 0.71604492, 0.73429135, 0.75225234, 0.76989792, 0.78719153, 0.80407383, 0.82051349, 0.83646946, 0.85189026, 0.86674791, 0.8810097, 0.89461041, 0.90752456, 0.9197304, 0.9311753, 0.94182765, 0.95167536, 0.96067486, 0.96878747, 0.97601191, 0.98233053, 0.98768615, 0.99208631, 0.99557391, 0.99806302, 0.99942968, 1.0]
+          y: [0.01298, 0.01325853, 0.01353706, 0.01425486, 0.01525428, 0.01651103, 0.01803672, 0.01982832, 0.02186386, 0.02414104, 0.02665721, 0.02939433, 0.03232052, 0.03546139, 0.03882788, 0.04241907, 0.04621907, 0.0502115, 0.05437484, 0.05871183, 0.06320372, 0.06783179, 0.07258367, 0.0774446, 0.08239019, 0.0874051, 0.09248713, 0.09759082, 0.10272181, 0.10784802, 0.11295158, 0.11803077, 0.12305212, 0.12798755, 0.13283094, 0.13755364, 0.14213236, 0.14655625, 0.15079572, 0.154834, 0.15864807, 0.16221448, 0.16552639, 0.16856113, 0.17131655, 0.17376419, 0.17590809, 0.17773697, 0.17926124, 0.1804571, 0.18132691, 0.18187835, 0.18211123, 0.18203856, 0.1816423, 0.18093968, 0.17992886, 0.17862311, 0.17701528, 0.17511379, 0.17293277, 0.17048889, 0.16779353, 0.16485463, 0.16169458, 0.15833173, 0.15478881, 0.15107876, 0.14720829, 0.1431886, 0.13900782, 0.13472385, 0.13032428, 0.12581676, 0.12122098, 0.1165324, 0.11179119, 0.1070022, 0.10214717, 0.09729272, 0.09242295, 0.08751215, 0.082622, 0.07774621, 0.07282291, 0.06792968, 0.06314469, 0.05839354, 0.05371176, 0.04930104, 0.04462295, 0.03955245, 0.03423391, 0.02812695, 0.02159887, 0.01655986, 0.01252495, 0.0086197, 0.00433033, 0.00116483, 0.0, -0.00122141, -0.00493025, -0.01006582, -0.01404194, -0.01818461, -0.02325986, -0.02895118, -0.03402694, -0.0386738, -0.04323037, -0.04768713, -0.05194808, -0.05640002, -0.06095587, -0.06550064, -0.07015335, -0.07483557, -0.07944017, -0.08403249, -0.08861876, -0.0931531, -0.09767683, -0.10219736, -0.1066798, -0.1111375, -0.11555036, -0.11988963, -0.12416757, -0.12835267, -0.13244594, -0.13644393, -0.14032619, -0.14410659, -0.14776228, -0.15130027, -0.15469824, -0.15792918, -0.16099444, -0.1638649, -0.16652604, -0.16898536, -0.1712123, -0.17318495, -0.17488931, -0.17629521, -0.1773821, -0.17812893, -0.17850404, -0.17851925, -0.17811179, -0.17729404, -0.17604386, -0.17433908, -0.17216093, -0.1694972, -0.1663269, -0.16263694, -0.15840197, -0.15361785, -0.14832974, -0.14256755, -0.13636209, -0.12973893, -0.12273428, -0.11537409, -0.10772338, -0.09984354, -0.09178588, -0.08364761, -0.07551824, -0.06749519, -0.05967989, -0.05219166, -0.04509834, -0.03849862, -0.03246027, -0.02700348, -0.02213341, -0.01786296, -0.01419831, -0.0111631, -0.00876892, -0.00697163, -0.00574853, -0.0050322, -0.00479161, -0.004, -0.0037, -0.0034, -0.0031, -0.0028, -0.0025, -0.0022, -0.0019, -0.0016, -0.0013, -0.001, -0.0007, -0.0007]
+      relative_thickness: 0.36
+      aerodynamic_center: 0.316
+      polars:
+         -  configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 3.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+            re: 3000000.0
+            c_l:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.0, 0.07501365000000029, 0.15002730000000059, 0.22504094999999955, 0.30005459999999984, 0.37506825000000016, 0.4500819000000004, 0.5250955499999993, 0.6001091999999997, 0.6751228499999999, 0.7501365000000003, 0.8251501500000005, 0.9001638000000008, 0.9751774499999998, 1.0501911000000002, 0.9387131211320483, 0.8687429928155137, 0.816279344267533, 0.7690332031658542, 0.7201864251065949, 0.665902523345768, 0.6041927086311486, 0.5343381166569391, 0.45656126945350906, 0.371815854506688, 0.28163458933036356, 0.18800610200013107, 0.09326663395294166, 6.42913500495947e-17, -0.09326663395294166, -0.18800610200013107, -0.28163458933036356, -0.371815854506688, -0.45656126945350906, -0.5343381166569391, -0.6041927086311485, -0.6659025233457679, -0.7201864251065949, -0.7690332031658542, -0.816279344267533, -0.8687429928155135, -0.9387131211320483, -1.0501910999999997, -0.9995661357142857, -0.9489411714285714, -0.8983162071428572, -0.8476912428571428, -0.7970662785714285, -0.7464413142857143, -0.69581635, -0.6451913857142857, -0.5945664214285713, -0.5439414571428571, -0.49331649285714274, -0.44269152857142857, -0.3414416, -0.2081692, -0.07548435, 0.05654354, 0.188625, 0.3189359, 0.4477405, 0.5760287, 0.7007564, 0.824829, 0.9432708, 1.057064, 1.169561, 1.276151, 1.378279, 1.471471, 1.552229, 1.61582, 1.657315, 1.652071, 1.616346, 1.588459, 1.540299, 1.50547, 1.500273, 1.3410187444743544, 1.2410614183078765, 1.1661133489536186, 1.0986188616655062, 1.0288377501522785, 0.951289319065383, 0.8631324409016408, 0.7633401666527705, 0.6522303849335844, 0.5311655064381258, 0.4023351276148051, 0.268580145714473, 0.13323804850420237, 9.184478578513528e-17, -0.09326663395294166, -0.18800610200013107, -0.28163458933036356, -0.371815854506688, -0.45656126945350906, -0.5343381166569391, -0.6041927086311486, -0.665902523345768, -0.7201864251065949, -0.7690332031658542, -0.816279344267533, -0.8687429928155134, -0.9387131211320483, -1.0501910999999997, -0.9751774499999998, -0.9001637999999996, -0.8251501500000005, -0.7501365000000003, -0.6751228499999999, -0.6001091999999997, -0.5250955499999993, -0.4500819000000004, -0.37506825000000016, -0.30005459999999984, -0.22504094999999955, -0.15002730000000059, -0.07501365000000029, 0.0]
+            c_d:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.014954477530775917, 0.034160319918616996, 0.05500432117176687, 0.07743569601447568, 0.10139980000000005, 0.1964698271582243, 0.30673095737280065, 0.42890526374912763, 0.5593646735269627, 0.6942405649421955, 0.8295405878882236, 0.9612691643613978, 1.0855480134727118, 1.1987330456209522, 1.2975240812523023, 1.379064068106504, 1.4410247903284739, 1.481676473596485, 1.49993918, 1.481676473596485, 1.4410247903284739, 1.379064068106504, 1.2975240812523023, 1.1987330456209522, 1.0855480134727118, 0.9612691643613978, 0.8295405878882239, 0.6942405649421955, 0.5593646735269625, 0.4289052637491272, 0.30673095737280087, 0.1964698271582243, 0.1013998, 0.09491646142857142, 0.08843312285714285, 0.0819497842857143, 0.07546644571428572, 0.06898310714285713, 0.06249976857142857, 0.05601642999999999, 0.04953309142857142, 0.04304975285714284, 0.03656641428571428, 0.0300830757142857, 0.023599737142857125, 0.01063306, 0.01021037, 0.009988202, 0.009984084, 0.009982337, 0.0100841, 0.01036916, 0.01063446, 0.01106828, 0.01149787, 0.0121675, 0.01298211, 0.01379554, 0.01480073, 0.01602584, 0.0175859, 0.01971602, 0.02283228, 0.02644873, 0.03467099, 0.04529427, 0.05691646, 0.07198969, 0.0878352, 0.1013998, 0.19646982715822445, 0.3067309573728008, 0.4289052637491272, 0.5593646735269625, 0.6942405649421955, 0.8295405878882236, 0.9612691643613978, 1.0855480134727116, 1.1987330456209522, 1.2975240812523023, 1.379064068106504, 1.4410247903284739, 1.481676473596485, 1.49993918, 1.481676473596485, 1.4410247903284739, 1.379064068106504, 1.2975240812523023, 1.1987330456209522, 1.0855480134727118, 0.9612691643613978, 0.8295405878882236, 0.6942405649421955, 0.5593646735269627, 0.42890526374912763, 0.3067309573728012, 0.1964698271582243, 0.10139980000000005, 0.07743569601447568, 0.05500432117176647, 0.034160319918616996, 0.014954477530775917, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+            c_m:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.4198968981112239, 0.4397937962224482, 0.45969069433367243, 0.47958759244489635, 0.4994844905561206, 0.5193813886673441, 0.5392782867785684, 0.4748003666889475, 0.4103224465993266, 0.39799234122035154, 0.3856622358413765, 0.39039526342847564, 0.3951282910155748, 0.4052103185285818, 0.41529234604158893, 0.42432809976240804, 0.4333638534832271, 0.4370762631934242, 0.4407886729036212, 0.4364689349440203, 0.43214919698441934, 0.41578948972503305, 0.3994297824656467, 0.37680794554911357, 0.3541861086325804, 0.32843158703580755, 0.3026770654390347, 0.2768135014359206, 0.2509499374328065, 0.22697482610480396, 0.20299971477680143, 0.17993278102924606, 0.15686584728169073, 0.12134258253953806, 0.08581931779738547, 0.06813494242500173, 0.050450567052617926, 0.03276619168023424, 0.015081816307850465, -0.0026025590645333135, -0.02028693443691708, -0.0379713098093008, -0.05565568518168457, -0.06779079829616415, -0.06327812463693132, -0.05876545097769849, -0.05425277731846565, -0.04522743, -0.05024762, -0.05483838, -0.05890677, -0.06286818, -0.0665861, -0.06989369, -0.07305164, -0.07566778, -0.078138, -0.07983007, -0.0809135, -0.08182979, -0.08209662, -0.08200892, -0.08118535, -0.07955767, -0.07728835, -0.07447318, -0.07091156, -0.06863174, -0.06896369, -0.07131223, -0.07513375, -0.0976830721163483, -0.14502138619975924, -0.19235970028317012, -0.21708595225992705, -0.2418122042366839, -0.2630941207206058, -0.28437603720452764, -0.30516901343653086, -0.325961989668534, -0.3460854161801584, -0.3662088426917828, -0.38446860539298827, -0.40272836809419377, -0.41743878253930655, -0.43214919698441934, -0.4364689349440203, -0.4407886729036212, -0.4370762631934242, -0.4333638534832271, -0.42432809976240804, -0.41529234604158893, -0.4052103185285818, -0.3951282910155748, -0.39039526342847564, -0.3856622358413765, -0.39799234122035154, -0.4103224465993266, -0.47480036668894743, -0.5392782867785681, -0.5336671029530583, -0.5280559191275487, -0.5224447353020389, -0.5168335514765293, -0.5112223676510195, -0.5056111838255097, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.07814195000000032, 0.15628390000000064, 0.23442584999999955, 0.31256779999999984, 0.39070975000000024, 0.4688517000000004, 0.5469936499999993, 0.6251355999999997, 0.70327755, 0.7814195000000005, 0.8595614500000006, 0.9377034000000009, 1.01584535, 1.0939873000000002, 0.9716831741625389, 0.8941883025179104, 0.83612448666972, 0.7845198330222034, 0.7321814591332326, 0.6750520264550105, 0.6110056486495262, 0.5392350687923698, 0.45990427648013915, 0.37392756333208926, 0.2828110168227503, 0.18852550623131184, 0.09339598330952165, 6.42913500495947e-17, -0.09339598330952165, -0.18852550623131184, -0.2828110168227503, -0.37392756333208926, -0.45990427648013915, -0.5392350687923698, -0.6110056486495261, -0.6750520264550103, -0.7321814591332326, -0.7845198330222034, -0.8361244866697201, -0.8941883025179101, -0.9716831741625389, -1.0939872999999998, -1.0399610857142856, -0.9859348714285714, -0.9319086571428572, -0.8778824428571429, -0.8238562285714286, -0.7698300142857142, -0.7158038, -0.6617775857142856, -0.6077513714285714, -0.5537251571428571, -0.4996989428571428, -0.4456727285714285, -0.3376203, -0.2050187, -0.07203174, 0.05939279, 0.1907259, 0.3195224, 0.4566342, 0.5767328, 0.7008493, 0.8225492, 0.9389009, 1.074788, 1.184579, 1.293499, 1.396376, 1.490872, 1.585968, 1.657075, 1.724573, 1.743331, 1.722336, 1.711506, 1.631025, 1.615342, 1.562839, 1.3881188202321981, 1.277411860739872, 1.1944635523853144, 1.1207426186031477, 1.0459735130474752, 0.9643600377928722, 0.872865212356466, 0.7703358125605286, 0.6570061092573417, 0.5341822333315561, 0.40401573831821475, 0.2693221517590169, 0.13342283329931665, 9.184478578513528e-17, -0.09339598330952165, -0.18852550623131184, -0.2828110168227503, -0.37392756333208926, -0.45990427648013915, -0.5392350687923698, -0.6110056486495262, -0.6750520264550105, -0.7321814591332326, -0.7845198330222034, -0.83612448666972, -0.8941883025179098, -0.9716831741625389, -1.0939872999999998, -1.01584535, -0.9377033999999996, -0.8595614500000006, -0.7814195000000005, -0.70327755, -0.6251355999999997, -0.5469936499999993, -0.4688517000000004, -0.39070975000000024, -0.31256779999999984, -0.23442584999999955, -0.15628390000000064, -0.07814195000000032, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.00815716735965738, 0.027408272710679554, 0.04830173424261766, 0.07078673593343204, 0.09480860000000006, 0.19011279534401265, 0.3006564745949642, 0.4231595604894788, 0.5539914780566578, 0.6892807705231878, 0.8250319415508474, 0.9572459796266756, 1.0820409092057401, 1.1957687130028503, 1.295125080644207, 1.3772486573515987, 1.4398067857987786, 1.481065145041922, 1.49993918, 1.481065145041922, 1.4398067857987786, 1.3772486573515987, 1.295125080644207, 1.1957687130028503, 1.0820409092057401, 0.9572459796266756, 0.8250319415508477, 0.6892807705231878, 0.5539914780566576, 0.42315956048947834, 0.3006564745949645, 0.19011279534401265, 0.0948086, 0.08875584714285714, 0.08270309428571429, 0.07665034142857144, 0.07059758857142857, 0.06454483571428571, 0.05849208285714285, 0.05243932999999999, 0.046386577142857134, 0.040333824285714276, 0.034281071428571425, 0.02822831857142856, 0.0221755657142857, 0.01007006, 0.009907954, 0.009554233, 0.009556014, 0.009591492, 0.009834086, 0.009642163, 0.01042978, 0.01095442, 0.01154567, 0.01236466, 0.01215443, 0.01312492, 0.01405086, 0.01522183, 0.01664402, 0.01813836, 0.02064539, 0.02348436, 0.02898805, 0.03776982, 0.04740681, 0.06441704, 0.0772492, 0.0948086, 0.1901127953440128, 0.30065647459496436, 0.42315956048947834, 0.5539914780566576, 0.6892807705231878, 0.8250319415508474, 0.9572459796266756, 1.08204090920574, 1.1957687130028503, 1.295125080644207, 1.3772486573515987, 1.4398067857987786, 1.481065145041922, 1.49993918, 1.481065145041922, 1.4398067857987786, 1.3772486573515987, 1.295125080644207, 1.1957687130028503, 1.0820409092057401, 0.9572459796266756, 0.8250319415508474, 0.6892807705231878, 0.5539914780566578, 0.4231595604894788, 0.3006564745949648, 0.19011279534401265, 0.09480860000000006, 0.07078673593343204, 0.04830173424261726, 0.027408272710679554, 0.00815716735965738, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.4228369423977596, 0.44567388479551967, 0.46851082719327974, 0.4913477695910393, 0.5141847119887994, 0.5370216543865586, 0.5598585967843186, 0.4896326569877857, 0.41940671719125283, 0.40473279721263633, 0.3900588772340198, 0.39367044239842974, 0.3972820075628397, 0.4068499450648793, 0.416417882566919, 0.4252838928901147, 0.4341499032133104, 0.4378812332866385, 0.4416125633599667, 0.43738625459741415, 0.4331599458348616, 0.41661634109606593, 0.40007273635727025, 0.37736412742693537, 0.35465551849660043, 0.3289670812252941, 0.30327864395398785, 0.2776550222103754, 0.252031400466763, 0.22843039159374307, 0.20482938272072315, 0.1820659893608161, 0.1593025960009091, 0.1230067114441584, 0.08671082688740775, 0.06855624355575828, 0.05040166022410874, 0.03224707689245932, 0.014092493560809813, -0.004062089770839689, -0.02221667310248919, -0.040371256434138636, -0.05852583976578815, -0.070919445490024, -0.06603011839201921, -0.0611407912940144, -0.0562514641960096, -0.04647281, -0.0510125, -0.055899, -0.06005192, -0.06399101, -0.0674672, -0.07177509, -0.07394028, -0.0764527, -0.07865538, -0.07998689, -0.08381844, -0.08433941, -0.08484274, -0.08461787, -0.08375055, -0.08326455, -0.08100969, -0.07914968, -0.07520567, -0.07153964, -0.07092655, -0.07226741, -0.07530643, -0.0985664421094381, -0.14708184118327192, -0.19559724025710568, -0.2199465935883451, -0.24429594691958445, -0.26507394694516284, -0.2858519469707411, -0.30630059710736424, -0.32674924724398724, -0.3467437471499374, -0.3667382470558874, -0.38505882712620126, -0.4033794071965151, -0.41826967651568836, -0.4331599458348616, -0.43738625459741415, -0.4416125633599667, -0.4378812332866385, -0.4341499032133104, -0.4252838928901147, -0.416417882566919, -0.4068499450648793, -0.3972820075628397, -0.39367044239842974, -0.3900588772340198, -0.4047327972126362, -0.4194067171912526, -0.4896326569877856, -0.5598585967843185, -0.5513073686722729, -0.5427561405602275, -0.534204912448182, -0.5256536843361366, -0.517102456224091, -0.5085512281120455, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 6.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 6000000.0
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.07804855000000031, 0.15609710000000063, 0.23414564999999954, 0.31219419999999987, 0.3902427500000002, 0.46829130000000047, 0.5463398499999994, 0.6243883999999997, 0.7024369500000001, 0.7804855000000004, 0.8585340500000006, 0.9365826000000009, 1.01463115, 1.0926797000000004, 0.9706988047117037, 0.8934285953522919, 0.8355319807398653, 0.7840574568982437, 0.7318233297408828, 0.6747788545755861, 0.6108022382995865, 0.5390888630801781, 0.4598044660859036, 0.37386451515758795, 0.28277589284877436, 0.1885099986536523, 0.09339212139413482, 6.42913500495947e-17, -0.09339212139413482, -0.1885099986536523, -0.28277589284877436, -0.37386451515758795, -0.4598044660859036, -0.5390888630801781, -0.6108022382995864, -0.6747788545755861, -0.7318233297408828, -0.7840574568982437, -0.8355319807398653, -0.8934285953522918, -0.9706988047117037, -1.0926797, -1.0383359642857142, -0.9839922285714284, -0.9296484928571428, -0.875304757142857, -0.8209610214285714, -0.7666172857142857, -0.7122735499999999, -0.6579298142857142, -0.6035860785714284, -0.5492423428571428, -0.49489860714285694, -0.4405548714285713, -0.3318674, -0.1985081, -0.06445893, 0.06711176, 0.1972458, 0.3286281, 0.461871, 0.5889478, 0.7125379, 0.8357403, 0.9546789, 1.076826, 1.191318, 1.300191, 1.403714, 1.497858, 1.594475, 1.664253, 1.722242, 1.740747, 1.740058, 1.67661, 1.636958, 1.591078, 1.560971, 1.3867125781595764, 1.2763265647889885, 1.193617115342665, 1.1200820812832053, 1.0454618996298326, 0.9639697922508373, 0.8725746261422663, 0.7701269472573977, 0.6568635229798623, 0.53409216451084, 0.40396556121253485, 0.2692999980766462, 0.13341731627733547, 9.184478578513528e-17, -0.09339212139413482, -0.1885099986536523, -0.28277589284877436, -0.37386451515758795, -0.4598044660859036, -0.5390888630801781, -0.6108022382995865, -0.6747788545755861, -0.7318233297408828, -0.7840574568982437, -0.8355319807398653, -0.8934285953522916, -0.9706988047117037, -1.0926797, -1.01463115, -0.9365825999999995, -0.8585340500000006, -0.7804855000000004, -0.7024369500000001, -0.6243883999999997, -0.5463398499999994, -0.46829130000000047, -0.3902427500000002, -0.31219419999999987, -0.23414564999999954, -0.15609710000000063, -0.07804855000000031, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.008969519764074396, 0.028215215699306267, 0.049102766190643715, 0.0715813588905627, 0.09559632000000005, 0.19087252970204927, 0.30138244127383257, 0.42384623444440206, 0.554633633284214, 0.6898735198343513, 0.8255707737654483, 0.9577267939062051, 1.0824600462632075, 1.1961229829521662, 1.2954117872771431, 1.3774656186575605, 1.4399523505712224, 1.4811382054450353, 1.49993918, 1.4811382054450353, 1.4399523505712224, 1.3774656186575605, 1.2954117872771431, 1.1961229829521662, 1.0824600462632075, 0.9577267939062051, 0.8255707737654486, 0.6898735198343513, 0.5546336332842138, 0.4238462344444016, 0.30138244127383285, 0.19087252970204927, 0.09559632, 0.08943730092857143, 0.08327828185714285, 0.0771192627857143, 0.0709602437142857, 0.06480122464285713, 0.05864220557142856, 0.05248318649999999, 0.046324167428571414, 0.04016514835714284, 0.03400612928571428, 0.0278471102142857, 0.02168809114285713, 0.009370053, 0.008928416, 0.00896552, 0.008908094, 0.009001108, 0.009060646, 0.009047625, 0.009491436, 0.01017443, 0.01077971, 0.0115045, 0.0120032, 0.01278355, 0.01373287, 0.01487216, 0.01631511, 0.01775569, 0.02027955, 0.02353613, 0.02917709, 0.0365494, 0.04995873, 0.06402906, 0.07981559, 0.09559632, 0.19087252970204938, 0.30138244127383274, 0.4238462344444016, 0.5546336332842138, 0.6898735198343513, 0.8255707737654483, 0.9577267939062051, 1.0824600462632072, 1.1961229829521662, 1.2954117872771431, 1.3774656186575605, 1.4399523505712224, 1.4811382054450353, 1.49993918, 1.4811382054450353, 1.4399523505712224, 1.3774656186575605, 1.2954117872771431, 1.1961229829521662, 1.0824600462632075, 0.9577267939062051, 0.8255707737654483, 0.6898735198343513, 0.554633633284214, 0.42384623444440206, 0.3013824412738332, 0.19087252970204927, 0.09559632000000005, 0.0715813588905627, 0.04910276619064333, 0.028215215699306267, 0.008969519764074396, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.4229512984938472, 0.44590259698769485, 0.46885389548154255, 0.4918051939753897, 0.5147564924692374, 0.5377077909630841, 0.5606590894569318, 0.4905578475126952, 0.42045660556845865, 0.4058347617928266, 0.3912129180171946, 0.3948436733701298, 0.398474428723065, 0.40804093181198475, 0.41760743490090463, 0.42645799904794507, 0.4353085631949855, 0.4390158747231938, 0.44272318625140217, 0.4384695732581707, 0.4342159602649393, 0.4176802164089316, 0.4011444725529239, 0.3784386430544076, 0.3557328135558913, 0.33003943713885897, 0.30434606072182663, 0.2787078289253498, 0.253069597128873, 0.22944312615413298, 0.20581665517939293, 0.18301696024026864, 0.16021726530114433, 0.12387998269713732, 0.08754270009313034, 0.06948396810920345, 0.051425236125276504, 0.033366504141349666, 0.015307772157422753, -0.002750959826504168, -0.02080969181043109, -0.038868423794357954, -0.05692715577828486, -0.06939425358688574, -0.0650864488695086, -0.06077864415213144, -0.05647083943475428, -0.04785523, -0.05296151, -0.05711505, -0.06143437, -0.06535105, -0.06921748, -0.07323155, -0.07620446, -0.07850574, -0.08076333, -0.08246511, -0.08451643, -0.08560962, -0.08598731, -0.08585007, -0.0848052, -0.08446619, -0.08178113, -0.07937629, -0.07545037000000002, -0.07247404, -0.07069823, -0.07287088, -0.07608712, -0.09930177076738242, -0.14787185626348887, -0.19644194175959523, -0.2208404998063625, -0.24523905785312972, -0.2660524440867046, -0.2868658303202794, -0.30733579326475313, -0.3278057562092267, -0.3478089510399417, -0.36781214587065664, -0.3861314243631359, -0.4044507028556152, -0.41933333156027724, -0.4342159602649393, -0.4384695732581707, -0.44272318625140217, -0.4390158747231938, -0.4353085631949855, -0.42645799904794507, -0.41760743490090463, -0.4080409318119848, -0.398474428723065, -0.3948436733701298, -0.3912129180171946, -0.4058347617928267, -0.42045660556845865, -0.49055784751269516, -0.5606590894569315, -0.5519935052487984, -0.5433279210406654, -0.5346623368325324, -0.5259967526243994, -0.5173311684162661, -0.508665584208133, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 9.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 9000000.0
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.0783952500000003, 0.1567905000000006, 0.23518574999999953, 0.31358099999999983, 0.39197625000000014, 0.47037150000000044, 0.5487667499999994, 0.6271619999999997, 0.70555725, 0.7839525000000003, 0.8623477500000006, 0.9407430000000009, 1.01913825, 1.0975335000000004, 0.974352775681774, 0.8962486218439395, 0.8377313576764885, 0.7857737931099869, 0.7331527029777958, 0.6757928662522075, 0.6115572957762899, 0.5396315774315363, 0.4601749614143992, 0.3740985494413097, 0.2829062727393253, 0.18856756264909724, 0.09340645679097218, 6.42913500495947e-17, -0.09340645679097218, -0.18856756264909724, -0.2829062727393253, -0.3740985494413097, -0.4601749614143992, -0.5396315774315363, -0.6115572957762899, -0.6757928662522072, -0.7331527029777958, -0.7857737931099869, -0.8377313576764887, -0.8962486218439393, -0.974352775681774, -1.0975335, -1.0427393999999999, -0.9879452999999999, -0.9331512, -0.8783571, -0.8235629999999999, -0.7687689, -0.7139747999999999, -0.6591806999999998, -0.6043866, -0.5495924999999999, -0.49479839999999986, -0.4400042999999999, -0.3304161, -0.1971123, -0.06417246, 0.06722299, 0.2030752, 0.3343265, 0.4646598, 0.5920573, 0.7190284, 0.8437623, 0.9645703, 1.080554, 1.190971, 1.304639, 1.401708, 1.503089, 1.58851, 1.650723, 1.693549, 1.712589, 1.682428, 1.650893, 1.625587, 1.609999, 1.567905, 1.3919325366882485, 1.2803551740627706, 1.1967590823949839, 1.122533990157124, 1.047361004253994, 0.9654183803602964, 0.8736532796804142, 0.7709022534736236, 0.6573928020205703, 0.534426499201871, 0.4041518181990362, 0.26938223235585324, 0.13343779541567455, 9.184478578513528e-17, -0.09340645679097218, -0.18856756264909724, -0.2829062727393253, -0.3740985494413097, -0.4601749614143992, -0.5396315774315363, -0.6115572957762899, -0.6757928662522075, -0.7331527029777958, -0.7857737931099869, -0.8377313576764885, -0.896248621843939, -0.974352775681774, -1.0975335, -1.01913825, -0.9407429999999996, -0.8623477500000006, -0.7839525000000003, -0.70555725, -0.6271619999999997, -0.5487667499999994, -0.47037150000000044, -0.39197625000000014, -0.31358099999999983, -0.23518574999999953, -0.1567905000000006, -0.0783952500000003, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.008222168339765037, 0.027472840852370936, 0.048365829408011554, 0.07085031827866631, 0.09487163000000005, 0.19017358605211584, 0.3007145633571755, 0.42321450521524273, 0.5540428605834349, 0.6893281997989236, 0.8250750566101149, 0.9572844523378403, 1.0820744467682397, 1.1957970601755836, 1.2951480216880729, 1.3772660176714013, 1.4398184332720017, 1.4810709910242612, 1.49993918, 1.4810709910242612, 1.4398184332720017, 1.3772660176714013, 1.2951480216880729, 1.1957970601755836, 1.0820744467682397, 0.9572844523378403, 0.8250750566101153, 0.6893281997989236, 0.5540428605834347, 0.4232145052152423, 0.3007145633571757, 0.19017358605211584, 0.09487163, 0.08879983271428571, 0.08272803542857142, 0.07665623814285714, 0.07058444085714285, 0.06451264357142857, 0.058440846285714276, 0.05236904899999999, 0.04629725171428571, 0.04022545442857141, 0.03415365714285713, 0.028081859857142847, 0.022010062571428554, 0.009866468, 0.009592539, 0.009128354, 0.009148631, 0.008824396, 0.008887419, 0.009147794, 0.009438661, 0.009815246, 0.010298, 0.01099142, 0.01181309, 0.01284226, 0.01360197, 0.01501498, 0.01615887, 0.01809287, 0.0209946, 0.02500522, 0.0307321, 0.04050683, 0.05242503, 0.06508499, 0.07794708, 0.09487163, 0.19017358605211598, 0.30071456335717567, 0.4232145052152423, 0.5540428605834347, 0.6893281997989236, 0.8250750566101149, 0.9572844523378403, 1.0820744467682395, 1.1957970601755836, 1.2951480216880729, 1.3772660176714013, 1.4398184332720017, 1.4810709910242612, 1.49993918, 1.4810709910242612, 1.4398184332720017, 1.3772660176714013, 1.2951480216880729, 1.1957970601755836, 1.0820744467682397, 0.9572844523378403, 0.8250750566101149, 0.6893281997989236, 0.5540428605834349, 0.42321450521524273, 0.30071456335717606, 0.19017358605211584, 0.09487163000000005, 0.07085031827866631, 0.04836582940801115, 0.027472840852370936, 0.008222168339765037, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.4231712953186544, 0.4463425906373092, 0.46951388595596405, 0.4926851812746184, 0.5158564765932733, 0.5390277719119272, 0.562199067230582, 0.4915266695112054, 0.42085427179182877, 0.4059958884414534, 0.39113750509107803, 0.39465642857599414, 0.39817535206091026, 0.4076949327901237, 0.41721451351933725, 0.4260568246695975, 0.43489913581985773, 0.438620466666483, 0.4423417975131083, 0.4381115928584909, 0.43388138820387345, 0.4173385809585731, 0.4007957737132728, 0.37809248172647886, 0.3553891897396849, 0.3297138684148113, 0.30403854708993777, 0.27843705157181886, 0.25283555605370006, 0.22926300212987086, 0.20569044820604165, 0.18294752048653795, 0.16020459276703428, 0.12384739084846738, 0.08749018892990058, 0.06940017131767054, 0.05131015370544045, 0.03322013609321047, 0.015130118480980406, -0.002959899131249666, -0.021049916743479724, -0.03913993435570974, -0.0572299519679398, -0.06965948683534504, -0.06510757346827603, -0.060555660101207026, -0.05600374673413801, -0.04689992, -0.05170136, -0.05686313, -0.06102672, -0.06578265, -0.06968913, -0.07313172, -0.07643099, -0.07944964, -0.08208015, -0.08396408, -0.08522635, -0.08573373, -0.08669931, -0.08578574, -0.08555009, -0.08380446, -0.08082747, -0.0776026, -0.07438834, -0.07119419, -0.07104844, -0.07295067, -0.07591457, -0.0993708009034707, -0.14797364587704748, -0.19657649085062426, -0.22089659244008727, -0.24521669402955026, -0.2659540925569884, -0.2866914910844265, -0.3071085806364325, -0.3275256701884385, -0.3475014463923034, -0.36747722259616833, -0.38579018871551307, -0.4041031548348578, -0.41899227151936563, -0.43388138820387345, -0.4381115928584909, -0.4423417975131083, -0.438620466666483, -0.43489913581985773, -0.4260568246695975, -0.41721451351933725, -0.40769493279012375, -0.39817535206091026, -0.39465642857599414, -0.39113750509107803, -0.4059958884414534, -0.42085427179182866, -0.49152666951120527, -0.5621990672305818, -0.5533134861976414, -0.5444279051647012, -0.5355423241317611, -0.5266567430988209, -0.5177711620658805, -0.5088855810329401, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 12.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 12000000.0
+   -  name: FFA-W3-301
+      coordinates:
+          x: [1.0, 0.99944304, 0.99812049, 0.99569352, 0.99230484, 0.98802844, 0.98281508, 0.97666422, 0.96964069, 0.96174313, 0.95297315, 0.94338928, 0.93301284, 0.92185147, 0.90995468, 0.89736121, 0.88408503, 0.8701629, 0.85565276, 0.84057695, 0.82497463, 0.80889455, 0.79236237, 0.77542101, 0.75812546, 0.7405018, 0.72259209, 0.70444539, 0.68608843, 0.66757021, 0.64892678, 0.63018643, 0.61140138, 0.59259673, 0.57380843, 0.5550757, 0.53641763, 0.51787958, 0.49948103, 0.48125155, 0.46322225, 0.44540666, 0.42784323, 0.41053864, 0.39352525, 0.37681123, 0.36041977, 0.34436494, 0.32865846, 0.31331898, 0.29834798, 0.2837658, 0.26956679, 0.25577362, 0.2423778, 0.22939648, 0.21681735, 0.20465763, 0.19290757, 0.18157496, 0.17065819, 0.16014896, 0.15005511, 0.14035465, 0.1310675, 0.12216148, 0.11365876, 0.10553619, 0.09779065, 0.09042902, 0.08341621, 0.07677403, 0.0704692, 0.06450016, 0.05888182, 0.05356799, 0.04857581, 0.04389793, 0.03949498, 0.03539484, 0.03157626, 0.02800644, 0.02471592, 0.02168071, 0.01886319, 0.01629514, 0.0139662, 0.01181764, 0.00988361, 0.00818368, 0.00663128, 0.00524853, 0.00408271, 0.00308998, 0.00219098, 0.00145967, 0.00096333, 0.00059878, 0.00028988, 7.804e-05, 0.0, 7.807e-05, 0.00029009, 0.00059937, 0.00096448, 0.00146264, 0.00219661, 0.00309879, 0.00409516, 0.00526774, 0.00665839, 0.00821941, 0.00993095, 0.01187982, 0.01404463, 0.01639219, 0.01898469, 0.02182867, 0.02489252, 0.02822001, 0.03182924, 0.03568998, 0.03984236, 0.04430035, 0.04903788, 0.05410025, 0.05948747, 0.06518787, 0.07124791, 0.07764648, 0.08439704, 0.0915234, 0.09900711, 0.10688721, 0.11514762, 0.12380644, 0.13287211, 0.14233176, 0.1522146, 0.16249918, 0.17321393, 0.18434125, 0.19590296, 0.20788328, 0.22029378, 0.23312344, 0.24637487, 0.26004146, 0.27412439, 0.28861129, 0.30349962, 0.3187741, 0.33443448, 0.35045732, 0.36684322, 0.38356093, 0.40060975, 0.41795607, 0.4355933, 0.4534925, 0.47163211, 0.48999236, 0.50853595, 0.52724867, 0.5460886, 0.5650309, 0.58404504, 0.603088, 0.62213765, 0.64114752, 0.66008031, 0.67890619, 0.69757164, 0.71604492, 0.73429135, 0.75225234, 0.76989792, 0.78719153, 0.80407383, 0.82051349, 0.83646946, 0.85189026, 0.86674791, 0.8810097, 0.89461041, 0.90752456, 0.9197304, 0.9311753, 0.94182765, 0.95167536, 0.96067486, 0.96878747, 0.97601191, 0.98233053, 0.98768615, 0.99208631, 0.99557391, 0.99806302, 0.99942968, 1.0]
+          y: [0.0091, 0.0092, 0.0095, 0.01019102, 0.01098722, 0.01199275, 0.01321968, 0.01466868, 0.01632499, 0.01818939, 0.02026184, 0.0225287, 0.02498942, 0.02765633, 0.03053579, 0.03361281, 0.03688185, 0.04032843, 0.04394211, 0.04771939, 0.05163426, 0.05568122, 0.0598265, 0.064066, 0.06838366, 0.07275679, 0.07716884, 0.08159288, 0.0859995, 0.09039339, 0.09473603, 0.09901837, 0.10322855, 0.10734222, 0.11135197, 0.11523528, 0.11897139, 0.12256454, 0.1259975, 0.12923028, 0.1322622, 0.13505874, 0.13762622, 0.13995045, 0.14202895, 0.14383082, 0.14537434, 0.14664124, 0.14762855, 0.14834512, 0.1487826, 0.14891816, 0.14878205, 0.14835062, 0.14763902, 0.14665631, 0.14540796, 0.14389445, 0.14211807, 0.14009933, 0.13784051, 0.13536035, 0.13267642, 0.12980554, 0.12676333, 0.12356534, 0.12022661, 0.11677002, 0.11319471, 0.10953142, 0.10578776, 0.1019807, 0.09812104, 0.09422341, 0.09031596, 0.08637472, 0.0824277, 0.07849466, 0.07455546, 0.07065466, 0.06678259, 0.06292689, 0.05912309, 0.05536396, 0.05161464, 0.0479351, 0.04434298, 0.04073649, 0.03723028, 0.03384709, 0.03041742, 0.02707923, 0.02385868, 0.02069172, 0.01762608, 0.01440222, 0.01148451, 0.0081594, 0.00393427, 0.0009904, 0.0, -0.00098225, -0.0038427, -0.00790888, -0.01119444, -0.01395867, -0.01702693, -0.01986336, -0.02277707, -0.02585365, -0.02902721, -0.03225419, -0.0354754, -0.03879837, -0.04222416, -0.0456621, -0.04918739, -0.05281184, -0.056457, -0.06018234, -0.06397734, -0.06781374, -0.07171229, -0.07567108, -0.07964775, -0.0836589, -0.08769058, -0.09172845, -0.09577523, -0.0998001, -0.10380363, -0.10776788, -0.11166856, -0.1155089, -0.11924991, -0.12288261, -0.12639744, -0.12975871, -0.13295904, -0.13598144, -0.13880129, -0.14139247, -0.14375103, -0.14585175, -0.14767899, -0.14921756, -0.15044292, -0.15133677, -0.15189867, -0.15207861, -0.15188281, -0.15127833, -0.15026529, -0.14880776, -0.14689814, -0.14451131, -0.14165209, -0.13829471, -0.13444104, -0.13009554, -0.12525581, -0.11992601, -0.11413531, -0.10791833, -0.10131971, -0.09437959, -0.08717996, -0.07979531, -0.0723041, -0.0648181, -0.05743322, -0.05023546, -0.04333091, -0.03680342, -0.03071971, -0.02512324, -0.02004647, -0.01555998, -0.01170028, -0.00840864, -0.00567019, -0.00346747, -0.00177337, -0.00057044, 0.00016442, 0.00045227, 0.00040686, 4.808e-05, -0.00057005, -0.00142772, -0.00241285, -0.00346998, -0.00454941, -0.00560222, -0.00657537, -0.00743116, -0.00814595, -0.00867599, -0.0089741, -0.0091]
+      relative_thickness: 0.301
+      aerodynamic_center: 0.282
+      polars:
+         -  configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 3.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+            re: 3000000.0
+            c_l:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.0, 0.09468065000000037, 0.18936130000000073, 0.28404194999999943, 0.37872259999999985, 0.47340325000000016, 0.5680839000000005, 0.6627645499999992, 0.7574451999999997, 0.85212585, 0.9468065000000003, 1.0414871500000007, 1.136167800000001, 1.2308484499999999, 1.3255291000000002, 1.1459895477629958, 1.028713048219897, 0.9410424049848257, 0.8663952626619108, 0.7955975771228617, 0.7234244128109608, 0.6470250806361405, 0.5651250119333233, 0.4775787498127995, 0.38509231111018266, 0.28903099938475546, 0.19127180092419802, 0.09407998573072773, 6.429146277833255e-17, -0.09407998573072773, -0.19127180092419802, -0.28903099938475546, -0.38509231111018266, -0.4775787498127995, -0.5651250119333233, -0.6470250806361404, -0.7234244128109607, -0.7955975771228617, -0.8663952626619108, -0.9410424049848259, -1.028713048219897, -1.1459895477629958, -1.3255291, -1.2419289785714285, -1.1583288571428572, -1.0747287357142858, -0.9911286142857143, -0.9075284928571429, -0.8239283714285714, -0.74032825, -0.6567281285714285, -0.573128007142857, -0.48952788571428574, -0.4059277642857142, -0.3223276428571429, -0.1551274, -0.0200225, 0.1132294, 0.2457505, 0.3770757, 0.5072877, 0.6368016, 0.7659265, 0.8941106, 1.016893, 1.140457, 1.26248, 1.380555, 1.497168, 1.610378, 1.72081, 1.821852, 1.916802, 2.001727, 2.077675, 2.119047, 2.124415, 2.050855, 1.974591, 1.893613, 1.6371279253757083, 1.4695900688855672, 1.3443462928354657, 1.237707518088444, 1.136567967318374, 1.0334634468728012, 0.9243215437659149, 0.8073214456190336, 0.6822553568754279, 0.5501318730145467, 0.4129014276925078, 0.27324542989171147, 0.13439997961532535, 9.184494682618937e-17, -0.09407998573072773, -0.19127180092419802, -0.28903099938475546, -0.38509231111018266, -0.4775787498127995, -0.5651250119333233, -0.6470250806361405, -0.7234244128109608, -0.7955975771228617, -0.8663952626619108, -0.9410424049848257, -1.0287130482198967, -1.1459895477629958, -1.3255290999999998, -1.2308484499999999, -1.1361677999999993, -1.0414871500000007, -0.9468065000000003, -0.85212585, -0.7574451999999997, -0.6627645499999992, -0.5680839000000005, -0.47340325000000016, -0.37872259999999985, -0.28404194999999943, -0.18936130000000073, -0.09468065000000037, 0.0]
+            c_d:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.013884018728943293, 0.03487658547857701, 0.057469040786103584, 0.08160664000000005, 0.17738003964428978, 0.28848985641257374, 0.41165170011697044, 0.5432299775107514, 0.679347546529311, 0.816002601949382, 0.9491892479516397, 1.0750181018152076, 1.1898332727356613, 1.2903221705426673, 1.373614817528359, 1.4373696560415703, 1.479843255246121, 1.49994181, 1.479843255246121, 1.4373696560415703, 1.373614817528359, 1.2903221705426673, 1.1898332727356613, 1.0750181018152076, 0.9491892479516397, 0.8160026019493825, 0.679347546529311, 0.5432299775107512, 0.41165170011697, 0.28848985641257396, 0.17738003964428978, 0.08160664, 0.07646400885714284, 0.0713213777142857, 0.06617874657142858, 0.06103611542857142, 0.05589348428571428, 0.050750853142857134, 0.04560822199999999, 0.04046559085714285, 0.0353229597142857, 0.030180328571428564, 0.02503769742857142, 0.01989506628571427, 0.009609804, 0.009446752, 0.009447925, 0.009502735, 0.009642999, 0.009861903, 0.01013046, 0.01038228, 0.01073684, 0.01128454, 0.01177311, 0.01230578, 0.01303068, 0.01372956, 0.01451913, 0.0156912, 0.01671619, 0.01813945, 0.01995054, 0.02257777, 0.02650825, 0.03336853, 0.04677142, 0.06253861, 0.08160664, 0.17738003964428983, 0.2884898564125739, 0.41165170011697, 0.5432299775107512, 0.679347546529311, 0.816002601949382, 0.9491892479516397, 1.0750181018152074, 1.1898332727356613, 1.2903221705426673, 1.373614817528359, 1.4373696560415703, 1.479843255246121, 1.49994181, 1.479843255246121, 1.4373696560415703, 1.373614817528359, 1.2903221705426673, 1.1898332727356613, 1.0750181018152076, 0.9491892479516397, 0.816002601949382, 0.679347546529311, 0.5432299775107514, 0.41165170011697044, 0.2884898564125743, 0.17738003964428978, 0.08160664000000005, 0.057469040786103584, 0.03487658547857661, 0.013884018728943293, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+            c_m:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.4434805240429175, 0.48696104808583585, 0.5304415721287542, 0.5739220961716718, 0.6174026202145901, 0.6608831442575067, 0.7043636683004251, 0.6029353554888016, 0.5015070426771782, 0.4741276151533856, 0.446748187629593, 0.44412381053103683, 0.44149943343248066, 0.44794306695629127, 0.4543867004801019, 0.46184315479529636, 0.4692996091104909, 0.4725490315514109, 0.4757984539923309, 0.47147172131537873, 0.4671449886384265, 0.4500194986824213, 0.43289400872641615, 0.41001062333011884, 0.3871272379338215, 0.36191867778197573, 0.33671011763013, 0.31229050521065055, 0.2878708927911712, 0.26594058253445874, 0.2440102722777463, 0.22219529123102155, 0.2003803101842968, 0.1585431142343906, 0.11670591828448447, 0.09860918657852827, 0.080512454872572, 0.062415723166615845, 0.04431899146065961, 0.02622225975470338, 0.008125528048747138, -0.009971203657209035, -0.028067935363165278, -0.04376764108822135, -0.05227626887057707, -0.06078489665293281, -0.06929352443528855, -0.08631078, -0.09148781, -0.09595822, -0.1003144, -0.1041985, -0.107802, -0.1112273, -0.1145204, -0.1179341, -0.1196963, -0.1218594, -0.1237961, -0.1251748, -0.1262509, -0.1269325, -0.1273407, -0.126226, -0.1243983, -0.1217829, -0.1191116, -0.1136597, -0.1081295, -0.1026432, -0.1010785, -0.126995233892294, -0.18364641857143704, -0.24029760325058003, -0.2634756798421711, -0.28665375643376206, -0.3051520043104132, -0.32365025218706445, -0.34238178572120376, -0.36111331925534307, -0.38031348138326343, -0.3995136435111838, -0.41787775879080824, -0.43624187407043263, -0.4516934313544296, -0.4671449886384265, -0.47147172131537873, -0.4757984539923309, -0.4725490315514109, -0.4692996091104909, -0.46184315479529636, -0.4543867004801019, -0.44794306695629127, -0.44149943343248066, -0.44412381053103683, -0.446748187629593, -0.4741276151533857, -0.5015070426771783, -0.6029353554888016, -0.7043636683004248, -0.675168858543221, -0.6459740487860177, -0.6167792390288144, -0.587584429271611, -0.5583896195144071, -0.5291948097572033, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.09406520000000038, 0.18813040000000075, 0.28219559999999944, 0.3762607999999998, 0.47032600000000024, 0.5643912000000005, 0.6584563999999993, 0.7525215999999996, 0.8465868000000001, 0.9406520000000005, 1.0347172000000007, 1.128782400000001, 1.2228476, 1.3169128000000003, 1.1395031432820908, 1.0237070334974152, 0.9371381461568918, 0.8633484812326714, 0.7932377191515372, 0.7216243739116919, 0.645684728389134, 0.5641616039507926, 0.47692105915827815, 0.38467686144212226, 0.28879955345559605, 0.191169615285327, 0.09405453802382394, 6.429146277833255e-17, -0.09405453802382394, -0.191169615285327, -0.28879955345559605, -0.38467686144212226, -0.47692105915827815, -0.5641616039507926, -0.6456847283891339, -0.7216243739116918, -0.7932377191515372, -0.8633484812326714, -0.937138146156892, -1.0237070334974152, -1.1395031432820908, -1.3169127999999999, -1.2334166857142856, -1.1499205714285712, -1.0664244571428572, -0.9829283428571428, -0.8994322285714285, -0.8159361142857142, -0.73244, -0.6489438857142856, -0.5654477714285714, -0.48195165714285715, -0.3984555428571428, -0.31495942857142856, -0.1479672, -0.01418825, 0.1191497, 0.2529534, 0.3846654, 0.5158042, 0.6454251, 0.7728262, 0.9026803, 1.028419, 1.153545, 1.273777, 1.394591, 1.511916, 1.626277, 1.731948, 1.835876, 1.925955, 2.010746, 2.083549, 2.132259, 2.131337, 2.028042, 1.925998, 1.881304, 1.6278616332601297, 1.4624386192820218, 1.3387687802241315, 1.2333549731895306, 1.1331967416450532, 1.0308919627309885, 0.9224067548416199, 0.8059451485011326, 0.6813157987975402, 0.5495383734887461, 0.4125707906508515, 0.27309945040761, 0.13436362574831992, 9.184494682618937e-17, -0.09405453802382394, -0.191169615285327, -0.28879955345559605, -0.38467686144212226, -0.47692105915827815, -0.5641616039507926, -0.645684728389134, -0.7216243739116919, -0.7932377191515372, -0.8633484812326714, -0.9371381461568918, -1.023707033497415, -1.1395031432820908, -1.3169127999999999, -1.2228476, -1.1287823999999995, -1.0347172000000007, -0.9406520000000005, -0.8465868000000001, -0.7525215999999996, -0.6584563999999993, -0.5643912000000005, -0.47032600000000024, -0.3762607999999998, -0.28219559999999944, -0.18813040000000075, -0.09406520000000038, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.015623004840471744, 0.03660283312201773, 0.059181476863779336, 0.08330420000000005, 0.17901728975451753, 0.2900543361710918, 0.4131315028881577, 0.5446138411019898, 0.6806249389030715, 0.81716380137839, 0.9502254170070887, 1.0759213546249298, 1.1905967350003757, 1.2909400318535482, 1.3740823755877558, 1.4376833524503319, 1.4800007025851616, 1.49994181, 1.4800007025851616, 1.4376833524503319, 1.3740823755877558, 1.2909400318535482, 1.1905967350003757, 1.0759213546249298, 0.9502254170070887, 0.8171638013783903, 0.6806249389030715, 0.5446138411019896, 0.41313150288815725, 0.290054336171092, 0.17901728975451753, 0.0833042, 0.07799690299999999, 0.07268960599999999, 0.067382309, 0.062075012, 0.05676771499999999, 0.051460417999999994, 0.04615312099999999, 0.040845823999999996, 0.035538526999999986, 0.03023122999999999, 0.02492393299999999, 0.019616635999999986, 0.009002042, 0.008996049, 0.009013789, 0.009004523, 0.009183573, 0.009367007, 0.009625127, 0.01004497, 0.01023552, 0.0106462, 0.01106698, 0.01174567, 0.01230283, 0.01298665, 0.01375272, 0.01492378, 0.01608315, 0.01785569, 0.01969407, 0.02219972, 0.0260769, 0.03301611, 0.04821527, 0.06717062, 0.0833042, 0.17901728975451758, 0.29005433617109194, 0.41313150288815725, 0.5446138411019896, 0.6806249389030715, 0.81716380137839, 0.9502254170070887, 1.0759213546249295, 1.1905967350003757, 1.2909400318535482, 1.3740823755877558, 1.4376833524503319, 1.4800007025851616, 1.49994181, 1.4800007025851616, 1.4376833524503319, 1.3740823755877558, 1.2909400318535482, 1.1905967350003757, 1.0759213546249298, 0.9502254170070887, 0.81716380137839, 0.6806249389030715, 0.5446138411019898, 0.4131315028881577, 0.29005433617109233, 0.17901728975451753, 0.08330420000000005, 0.059181476863779336, 0.03660283312201734, 0.015623004840471744, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.4431548435378024, 0.4863096870756056, 0.5294645306134089, 0.5726193741512112, 0.6157742176890144, 0.6589290612268159, 0.7020839047646192, 0.6017630824515467, 0.5014422601384743, 0.47451372352821286, 0.4475851869179515, 0.4451713733146881, 0.44275755971142466, 0.4492893455434553, 0.45582113137548597, 0.46329467896607, 0.470768226556654, 0.47399516495040256, 0.4772221033441511, 0.4728573373140735, 0.46849257128399585, 0.45140184455123195, 0.43431111781846804, 0.4114420786885048, 0.3885730395585416, 0.3633470797642115, 0.3381211199698814, 0.3136476478037587, 0.28917417563763603, 0.2671601970557506, 0.2451462184738652, 0.22325496423347005, 0.20136370999307493, 0.1596432600987585, 0.11792281020444217, 0.10003764535856816, 0.08215248051269407, 0.06426731566682009, 0.046382150820946044, 0.028496985975071984, 0.010611821129197938, -0.007273343716676067, -0.025158508562550114, -0.04094512161614826, -0.05043607929291859, -0.05992703696968896, -0.06941799464645931, -0.08839991, -0.09303901, -0.09743819, -0.1021897, -0.1062655, -0.1100463, -0.1134707, -0.116311, -0.1195838, -0.1220086, -0.1244645, -0.1260434, -0.1277716, -0.128891, -0.1295793, -0.1291112, -0.1284374, -0.1261461, -0.1234738, -0.1200849, -0.1154791, -0.1090693, -0.1023041, -0.1018204, -0.1281511826362994, -0.18462030971415277, -0.2410894367920061, -0.26436527780652375, -0.2876411188210414, -0.306253153477703, -0.3248651881343646, -0.34367409621305334, -0.3624830042917421, -0.3817145851240814, -0.40094616595642063, -0.4193016853857695, -0.43765720481511833, -0.4530748880495571, -0.46849257128399585, -0.4728573373140735, -0.4772221033441511, -0.47399516495040256, -0.470768226556654, -0.46329467896607, -0.45582113137548597, -0.4492893455434553, -0.44275755971142466, -0.4451713733146881, -0.4475851869179515, -0.47451372352821297, -0.5014422601384743, -0.6017630824515467, -0.702083904764619, -0.6732147755125303, -0.6443456462604421, -0.6154765170083539, -0.5866073877562658, -0.5577382585041769, -0.5288691292520882, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 6.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 6000000.0
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.09062905000000036, 0.18125810000000073, 0.2718871499999994, 0.3625161999999998, 0.4531452500000002, 0.5437743000000005, 0.6344033499999993, 0.7250323999999996, 0.8156614499999999, 0.9062905000000004, 0.9969195500000007, 1.087548600000001, 1.1781776499999999, 1.2688067000000003, 1.1032885706002122, 0.9957576996950657, 0.9153400813724162, 0.8463378418499733, 0.7800622768440121, 0.7115744857587578, 0.6382013400171275, 0.5587827521526403, 0.47324907322516585, 0.38235734340344224, 0.2875073559911697, 0.190599097480458, 0.09391245964527574, 6.429146277833255e-17, -0.09391245964527574, -0.190599097480458, -0.2875073559911697, -0.38235734340344224, -0.47324907322516585, -0.5587827521526403, -0.6382013400171272, -0.7115744857587577, -0.7800622768440121, -0.8463378418499735, -0.9153400813724164, -0.9957576996950653, -1.1032885706002122, -1.2688066999999998, -1.1882988285714284, -1.107790957142857, -1.0272830857142856, -0.9467752142857142, -0.8662673428571428, -0.7857594714285714, -0.7052516, -0.6247437285714285, -0.5442358571428572, -0.46372798571428575, -0.38322011428571423, -0.3027122428571428, -0.1416965, -0.00514642, 0.1299459, 0.2640528, 0.3944932, 0.5252649, 0.6535016, 0.7817695, 0.9120312, 1.036784, 1.160119, 1.280995, 1.398612, 1.513861, 1.62354, 1.727533, 1.828399, 1.921769, 1.994598, 2.059749, 2.092626, 2.070571, 1.946283, 1.887259, 1.812581, 1.5761265294288747, 1.4225109995643797, 1.3076286876748806, 1.2090540597856765, 1.1143746812057316, 1.0165349796553684, 0.9117162000244675, 0.798261074503772, 0.6760701046073798, 0.5462247762906318, 0.41072479427309966, 0.2722844249720829, 0.1341606566361082, 9.184494682618937e-17, -0.09391245964527574, -0.190599097480458, -0.2875073559911697, -0.38235734340344224, -0.47324907322516585, -0.5587827521526403, -0.6382013400171275, -0.7115744857587578, -0.7800622768440121, -0.8463378418499733, -0.9153400813724162, -0.9957576996950651, -1.1032885706002122, -1.2688066999999998, -1.1781776499999999, -1.0875485999999994, -0.9969195500000007, -0.9062905000000004, -0.8156614499999999, -0.7250323999999996, -0.6344033499999993, -0.5437743000000005, -0.4531452500000002, -0.3625161999999998, -0.2718871499999994, -0.18125810000000073, -0.09062905000000036, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.004960721352500211, 0.024233145534750575, 0.045149902580857895, 0.06766016192112466, 0.09170923000000006, 0.18712371090838992, 0.29780045371906466, 0.42045836419845734, 0.551465684335965, 0.6869496173964557, 0.822913180508903, 0.9553557405279776, 1.0803935776764262, 1.194376821264656, 1.2939992125916626, 1.3763973685871034, 1.4392365392163566, 1.4807802624287343, 1.49994181, 1.4807802624287343, 1.4392365392163566, 1.3763973685871034, 1.2939992125916626, 1.194376821264656, 1.0803935776764262, 0.9553557405279776, 0.8229131805089034, 0.6869496173964557, 0.5514656843359649, 0.4204583641984569, 0.2978004537190649, 0.18712371090838992, 0.09170923, 0.08576699092857143, 0.07982475185714286, 0.0738825127857143, 0.06794027371428571, 0.061998034642857136, 0.05605579557142856, 0.05011355649999999, 0.044171317428571416, 0.03822907835714284, 0.03228683928571428, 0.026344600214285703, 0.02040236114285713, 0.008517883, 0.008287997, 0.008184095, 0.008164792, 0.008478902, 0.008706852, 0.0090844, 0.009448501, 0.00967285, 0.01015972, 0.01072055, 0.01136709, 0.01214267, 0.01302504, 0.01408126, 0.01532884, 0.01654485, 0.01807638, 0.02055305, 0.02348694, 0.0283187, 0.03708223, 0.05497327, 0.0712081, 0.09170923, 0.18712371090838997, 0.29780045371906483, 0.4204583641984569, 0.5514656843359649, 0.6869496173964557, 0.822913180508903, 0.9553557405279776, 1.080393577676426, 1.194376821264656, 1.2939992125916626, 1.3763973685871034, 1.4392365392163566, 1.4807802624287343, 1.49994181, 1.4807802624287343, 1.4392365392163566, 1.3763973685871034, 1.2939992125916626, 1.194376821264656, 1.0803935776764262, 0.9553557405279776, 0.822913180508903, 0.6869496173964557, 0.551465684335965, 0.42045836419845734, 0.2978004537190652, 0.18712371090838992, 0.09170923000000006, 0.06766016192112466, 0.04514990258085749, 0.024233145534750575, 0.004960721352500211, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.4405569646732398, 0.4811139293464804, 0.521670894019721, 0.5622278586929608, 0.6027848233662014, 0.6433417880394403, 0.683898752712681, 0.5897674277918938, 0.4956361028711066, 0.4712297923838233, 0.44682348189654, 0.4455964387528454, 0.4443693956091508, 0.451411823204727, 0.4584542508003033, 0.4660477462592487, 0.4736412417181942, 0.47677072825268163, 0.479900214787169, 0.4753516296151393, 0.4708030444431097, 0.4538861288163726, 0.4369692131896355, 0.4141654338707375, 0.3913616545518395, 0.36603120892629315, 0.34070076330074683, 0.31592810876716027, 0.2911554542335737, 0.26868550556386334, 0.24621555689415298, 0.2239202416569868, 0.2016249264198206, 0.16059435309233122, 0.1195637797648419, 0.10231740269769504, 0.08507102563054812, 0.06782464856340131, 0.050578271496254434, 0.033331894429107556, 0.016085517361960677, -0.0011608597051861597, -0.018407236772333052, -0.034143477688279245, -0.04534931015062338, -0.05655514261296755, -0.06776097507531172, -0.09017264, -0.09563178, -0.1005093, -0.1050583, -0.1086482, -0.112147, -0.1151739, -0.1181887, -0.121371, -0.1237311, -0.1258002, -0.1275064, -0.1286512, -0.1295708, -0.1295648, -0.1289081, -0.1277694, -0.1259195, -0.1219809, -0.1181014, -0.1128597, -0.1065178, -0.1013522, -0.1024195, -0.12947984810842816, -0.18488693585486177, -0.24029402360129531, -0.26409083304698344, -0.2878876424926715, -0.307122117487374, -0.3263565924820765, -0.34559499411108424, -0.364833395740092, -0.3842472302990644, -0.4036610648580368, -0.4219832442013257, -0.4403054235446146, -0.4555542339938622, -0.4708030444431097, -0.4753516296151393, -0.479900214787169, -0.47677072825268163, -0.4736412417181942, -0.4660477462592487, -0.4584542508003033, -0.451411823204727, -0.4443693956091508, -0.4455964387528454, -0.44682348189654, -0.47122979238382323, -0.4956361028711064, -0.5897674277918936, -0.6838987527126807, -0.6576275023251547, -0.631356251937629, -0.6050850015501035, -0.5788137511625778, -0.5525425007750517, -0.5262712503875255, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 9.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 9000000.0
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.08807990000000036, 0.17615980000000073, 0.26423969999999947, 0.3523195999999998, 0.4403995000000002, 0.5284794000000005, 0.6165592999999993, 0.7046391999999996, 0.7927190999999999, 0.8807990000000004, 0.9688789000000007, 1.056958800000001, 1.1450387, 1.2331186000000003, 1.076422345915024, 0.9750231437931814, 0.8991689197975881, 0.8337182904967426, 0.7702879134552695, 0.7041188530346185, 0.6326496966172466, 0.5547923850088134, 0.4705249654471604, 0.3806365805123283, 0.28654872346161137, 0.19017585185314786, 0.09380705705846316, 6.429146277833255e-17, -0.09380705705846316, -0.19017585185314786, -0.28654872346161137, -0.3806365805123283, -0.4705249654471604, -0.5547923850088134, -0.6326496966172463, -0.7041188530346184, -0.7702879134552695, -0.8337182904967426, -0.8991689197975882, -0.9750231437931812, -1.076422345915024, -1.2331185999999998, -1.1553854285714285, -1.0776522571428568, -0.9999190857142857, -0.9221859142857142, -0.8444527428571427, -0.7667195714285713, -0.6889863999999999, -0.6112532285714284, -0.533520057142857, -0.4557868857142856, -0.3780537142857141, -0.3003205428571427, -0.1448542, -0.007388149, 0.1281174, 0.2617695, 0.3949074, 0.5288539, 0.6598453, 0.7873559, 0.9165233, 1.039763, 1.163085, 1.284155, 1.407394, 1.51697, 1.626759, 1.73082, 1.827249, 1.912628, 1.981108, 2.019658, 2.039526, 2.02141, 1.905051, 1.803848, 1.761598, 1.537746208450034, 1.3928902054188308, 1.284527028282269, 1.1910261292810609, 1.1004113049360993, 1.0058840757637408, 0.9037852808817806, 0.792560550012591, 0.672178522067372, 0.5437665435890404, 0.40935531923087337, 0.2716797883616398, 0.13401008151209023, 9.184494682618937e-17, -0.09380705705846316, -0.19017585185314786, -0.28654872346161137, -0.3806365805123283, -0.4705249654471604, -0.5547923850088134, -0.6326496966172466, -0.7041188530346185, -0.7702879134552695, -0.8337182904967426, -0.8991689197975881, -0.9750231437931809, -1.076422345915024, -1.2331185999999998, -1.1450387, -1.0569587999999994, -0.9688789000000007, -0.8807990000000004, -0.7927190999999999, -0.7046391999999996, -0.6165592999999993, -0.5284794000000005, -0.4403995000000002, -0.3523195999999998, -0.26423969999999947, -0.17615980000000073, -0.08807990000000036, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.011490416826840433, 0.030719360079370303, 0.05158860413130305, 0.07404734794872875, 0.09804093000000005, 0.19323046208238617, 0.30363578000326585, 0.4259778552363744, 0.5566273334680395, 0.6917141413561037, 0.8272443183918933, 0.959220529759808, 1.0837626048774192, 1.1972244461035375, 1.296303762923966, 1.378141305393274, 1.4404065900842822, 1.4813675225648135, 1.49994181, 1.4813675225648135, 1.4404065900842822, 1.378141305393274, 1.296303762923966, 1.1972244461035375, 1.0837626048774192, 0.959220529759808, 0.8272443183918936, 0.6917141413561037, 0.5566273334680394, 0.42597785523637394, 0.3036357800032661, 0.19323046208238617, 0.09804093, 0.09166227814285713, 0.08528362628571429, 0.07890497442857143, 0.07252632257142858, 0.0661476707142857, 0.05976901885714285, 0.053390366999999994, 0.04701171514285714, 0.04063306328571427, 0.03425441142857142, 0.02787575957142856, 0.021497107714285698, 0.008739804, 0.008425269, 0.008295814, 0.008345842, 0.008447404, 0.008453702, 0.008608826, 0.009064446, 0.009319037, 0.009998224, 0.01057797, 0.0112454, 0.01165829, 0.01288963, 0.01393621, 0.01518495, 0.01670359, 0.01868129, 0.0213707, 0.02581399, 0.03163803, 0.04057165, 0.0588524, 0.08043853, 0.09804093, 0.19323046208238623, 0.303635780003266, 0.42597785523637394, 0.5566273334680394, 0.6917141413561037, 0.8272443183918933, 0.959220529759808, 1.083762604877419, 1.1972244461035375, 1.296303762923966, 1.378141305393274, 1.4404065900842822, 1.4813675225648135, 1.49994181, 1.4813675225648135, 1.4404065900842822, 1.378141305393274, 1.296303762923966, 1.1972244461035375, 1.0837626048774192, 0.959220529759808, 0.8272443183918933, 0.6917141413561037, 0.5566273334680395, 0.4259778552363744, 0.3036357800032664, 0.19323046208238617, 0.09804093000000005, 0.07404734794872875, 0.05158860413130266, 0.030719360079370303, 0.011490416826840433, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.4379116466868148, 0.4758232933736304, 0.513734940060446, 0.5516465867472607, 0.5895582334340763, 0.6274698801208903, 0.6653815268077059, 0.576330832164994, 0.4872801375222821, 0.4649144662926891, 0.44254879506309613, 0.4422884788567444, 0.4420281626503927, 0.449514138039589, 0.4570001134287853, 0.46474741395587527, 0.47249471448296515, 0.47562387863936784, 0.47875304279577047, 0.47414672341055775, 0.46954040402534497, 0.45283544901899064, 0.4361304940126363, 0.4134509558247994, 0.3907714176369625, 0.3654311386293957, 0.3400908596218289, 0.31516249693186477, 0.2902341342419007, 0.26751222529669644, 0.24479031635149218, 0.22236321639102397, 0.19993611643055575, 0.15990335181282794, 0.11987058719510016, 0.10296162423887872, 0.08605266128265723, 0.06914369832643585, 0.052234735370214405, 0.03532577241399294, 0.01841680945777148, 0.0015078465015500725, -0.015401116454671376, -0.030959171592226165, -0.042464503273780915, -0.0539698349553357, -0.06547516663689049, -0.08848583, -0.09427574, -0.09939674, -0.104027, -0.1083905, -0.1129118, -0.1164276, -0.1192923, -0.1222065, -0.1243473, -0.1264153, -0.1281388, -0.1300467, -0.1301467, -0.1301884, -0.1294947, -0.1278131, -0.1250592, -0.1208069, -0.11510910000000002, -0.1099982, -0.1050614, -0.1016043, -0.1042831, -0.13041501085684243, -0.1843159057355575, -0.23821680061427253, -0.26213737246897517, -0.2860579443236778, -0.3056163094382853, -0.32517467455289284, -0.34463573584563245, -0.36409679713837206, -0.3835628880071028, -0.4030289788758335, -0.4212449671235765, -0.43946095537131946, -0.4545006796983322, -0.46954040402534497, -0.47414672341055775, -0.47875304279577047, -0.47562387863936784, -0.47249471448296515, -0.46474741395587527, -0.4570001134287853, -0.449514138039589, -0.4420281626503927, -0.4422884788567444, -0.44254879506309613, -0.46491446629268907, -0.48728013752228194, -0.5763308321649939, -0.6653815268077058, -0.6417555944066047, -0.6181296620055041, -0.5945037296044035, -0.5708777972033028, -0.5472518648022018, -0.5236259324011006, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 12.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 12000000.0
+   -  name: FFA-W3-241
+      coordinates:
+          x: [1.0, 0.99944304, 0.99812049, 0.99569352, 0.99230484, 0.98802844, 0.98281508, 0.97666422, 0.96964069, 0.96174313, 0.95297315, 0.94338928, 0.93301284, 0.92185147, 0.90995468, 0.89736121, 0.88408503, 0.8701629, 0.85565276, 0.84057695, 0.82497463, 0.80889455, 0.79236237, 0.77542101, 0.75812546, 0.7405018, 0.72259209, 0.70444539, 0.68608843, 0.66757021, 0.64892678, 0.63018643, 0.61140138, 0.59259673, 0.57380843, 0.5550757, 0.53641763, 0.51787958, 0.49948103, 0.48125155, 0.46322225, 0.44540666, 0.42784323, 0.41053864, 0.39352525, 0.37681123, 0.36041977, 0.34436494, 0.32865846, 0.31331898, 0.29834798, 0.2837658, 0.26956679, 0.25577362, 0.2423778, 0.22939648, 0.21681735, 0.20465763, 0.19290757, 0.18157496, 0.17065819, 0.16014896, 0.15005511, 0.14035465, 0.1310675, 0.12216148, 0.11365876, 0.10553619, 0.09779065, 0.09042902, 0.08341621, 0.07677403, 0.0704692, 0.06450016, 0.05888182, 0.05356799, 0.04857581, 0.04389793, 0.03949498, 0.03539484, 0.03157626, 0.02800644, 0.02471592, 0.02168071, 0.01886319, 0.01629514, 0.0139662, 0.01181764, 0.00988361, 0.00818368, 0.00663128, 0.00524853, 0.00408271, 0.00308998, 0.00219098, 0.00145967, 0.00096333, 0.00059878, 0.00028988, 7.804e-05, 0.0, 7.807e-05, 0.00029009, 0.00059937, 0.00096448, 0.00146264, 0.00219661, 0.00309879, 0.00409516, 0.00526774, 0.00665839, 0.00821941, 0.00993095, 0.01187982, 0.01404463, 0.01639219, 0.01898469, 0.02182867, 0.02489252, 0.02822001, 0.03182924, 0.03568998, 0.03984236, 0.04430035, 0.04903788, 0.05410025, 0.05948747, 0.06518787, 0.07124791, 0.07764648, 0.08439704, 0.0915234, 0.09900711, 0.10688721, 0.11514762, 0.12380644, 0.13287211, 0.14233176, 0.1522146, 0.16249918, 0.17321393, 0.18434125, 0.19590296, 0.20788328, 0.22029378, 0.23312344, 0.24637487, 0.26004146, 0.27412439, 0.28861129, 0.30349962, 0.3187741, 0.33443448, 0.35045732, 0.36684322, 0.38356093, 0.40060975, 0.41795607, 0.4355933, 0.4534925, 0.47163211, 0.48999236, 0.50853595, 0.52724867, 0.5460886, 0.5650309, 0.58404504, 0.603088, 0.62213765, 0.64114752, 0.66008031, 0.67890619, 0.69757164, 0.71604492, 0.73429135, 0.75225234, 0.76989792, 0.78719153, 0.80407383, 0.82051349, 0.83646946, 0.85189026, 0.86674791, 0.8810097, 0.89461041, 0.90752456, 0.9197304, 0.9311753, 0.94182765, 0.95167536, 0.96067486, 0.96878747, 0.97601191, 0.98233053, 0.98768615, 0.99208631, 0.99557391, 0.99806302, 0.99942968, 1.0]
+          y: [0.00425, 0.0043621, 0.00462832, 0.00511699, 0.00579959, 0.00666146, 0.00771282, 0.0089541, 0.01037253, 0.01196864, 0.01374233, 0.01568187, 0.01778563, 0.02006929, 0.0225171, 0.02513781, 0.02790923, 0.03084911, 0.03393611, 0.03716418, 0.04052857, 0.04400982, 0.04761716, 0.05132667, 0.05512297, 0.05899393, 0.06293412, 0.06690084, 0.07088321, 0.07486708, 0.07883497, 0.08275436, 0.08661408, 0.09037299, 0.09402539, 0.09754917, 0.10092636, 0.10414685, 0.10719326, 0.11006231, 0.1127122, 0.11514729, 0.11735341, 0.11931701, 0.12102638, 0.12248809, 0.12367942, 0.12460233, 0.12523852, 0.12560509, 0.1256738, 0.12546547, 0.12498975, 0.12423636, 0.12323884, 0.12200236, 0.12053786, 0.11886654, 0.11699332, 0.11492977, 0.11269298, 0.110298, 0.10776785, 0.10510781, 0.10233142, 0.09945032, 0.09649044, 0.09345853, 0.09036359, 0.08722175, 0.0840345, 0.08082678, 0.07759443, 0.07434789, 0.07110954, 0.06787343, 0.06465344, 0.06145399, 0.05826012, 0.0551095, 0.05199557, 0.04891845, 0.04589051, 0.04289625, 0.03991914, 0.03700233, 0.03418463, 0.03137187, 0.0286109, 0.02603794, 0.02342947, 0.02076107, 0.01830451, 0.015951, 0.01327076, 0.0104986, 0.00746215, 0.00453721, 0.00204453, 0.00050657, 0.0, -0.00049018, -0.00184125, -0.00381822, -0.00605713, -0.00870563, -0.01122916, -0.01342212, -0.01534366, -0.01716693, -0.01909642, -0.02130654, -0.02351414, -0.02579914, -0.02815987, -0.03053974, -0.03296857, -0.03549058, -0.0380747, -0.04072568, -0.04345995, -0.04623151, -0.04907034, -0.05196961, -0.05490886, -0.05790431, -0.06095001, -0.06402491, -0.06712837, -0.07024411, -0.07337047, -0.07649115, -0.07959568, -0.08268285, -0.08571902, -0.08870503, -0.09161742, -0.09443777, -0.09716583, -0.09976981, -0.10223862, -0.10454454, -0.10668939, -0.10863043, -0.11037325, -0.11187776, -0.11314131, -0.11414886, -0.11486604, -0.11529721, -0.11537968, -0.11513331, -0.11450572, -0.11349774, -0.11208121, -0.11023393, -0.10793345, -0.10519348, -0.10197553, -0.0982976, -0.09414081, -0.08952202, -0.08447312, -0.07905685, -0.07331017, -0.0672996, -0.06109331, -0.05477058, -0.04842523, -0.04213791, -0.03600811, -0.03012656, -0.02457508, -0.01942136, -0.01470107, -0.01045419, -0.00673447, -0.00355842, -0.00093374, 0.00117919, 0.00284598, 0.00409407, 0.00495249, 0.00546535, 0.00561958, 0.00547727, 0.00504714, 0.00440395, 0.00360867, 0.00270812, 0.0018027, 0.00091285, 5.718e-05, -0.00074311, -0.00146131, -0.00207989, -0.00258907, -0.00296293, -0.00317197, 0.00425]
+      relative_thickness: 0.241
+      aerodynamic_center: 0.266
+      polars:
+         -  configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 3.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+            re: 3000000.0
+            c_l:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.0, 0.08652960000000033, 0.17305920000000066, 0.25958879999999945, 0.3461183999999998, 0.4326480000000002, 0.5191776000000005, 0.6057071999999992, 0.6922367999999997, 0.7787663999999999, 0.8652960000000004, 0.9518256000000006, 1.038355200000001, 1.1248847999999998, 1.2114144000000002, 1.0600834830737724, 0.962413483218254, 0.8893346565787598, 0.8260440622138766, 0.764344070467412, 0.6995851957367276, 0.629273968679506, 0.5523661369075548, 0.46886875686917184, 0.37959049715267507, 0.28596605098693556, 0.18991867987546449, 0.09374307347322908, 6.429154721772936e-17, -0.09374307347322908, -0.18991867987546449, -0.28596605098693556, -0.37959049715267507, -0.46886875686917184, -0.5523661369075548, -0.6292739686795059, -0.6995851957367275, -0.764344070467412, -0.8260440622138766, -0.8893346565787599, -0.9624134832182539, -1.0600834830737724, -1.2114143999999998, -1.1348920428571425, -1.0583696857142855, -0.9818473285714284, -0.9053249714285714, -0.8288026142857141, -0.7522802571428571, -0.6757578999999999, -0.5992355428571428, -0.5227131857142856, -0.44619082857142855, -0.3696684714285713, -0.29314611428571424, -0.1401014, -0.01318974, 0.1131445, 0.2390151, 0.3648178, 0.4897131, 0.6137519, 0.7368323, 0.8596458, 0.9803535, 1.099807, 1.217041, 1.330858, 1.442649, 1.547393, 1.648541, 1.74604, 1.831599, 1.910386, 1.971379, 2.003498, 1.966022, 1.854785, 1.79669, 1.730592, 1.5144049758196747, 1.374876404597506, 1.2704780808268, 1.1800629460198238, 1.0919201006677315, 0.9994074224810395, 0.8989628123992942, 0.789094481296507, 0.6698125098131027, 0.5422721387895358, 0.40852292998133655, 0.27131239982209215, 0.13391867639032726, 9.184506745389908e-17, -0.09374307347322908, -0.18991867987546449, -0.28596605098693556, -0.37959049715267507, -0.46886875686917184, -0.5523661369075548, -0.629273968679506, -0.6995851957367276, -0.764344070467412, -0.8260440622138766, -0.8893346565787598, -0.9624134832182536, -1.0600834830737724, -1.2114143999999998, -1.1248847999999998, -1.0383551999999994, -0.9518256000000006, -0.8652960000000004, -0.7787663999999999, -0.6922367999999997, -0.6057071999999992, -0.5191776000000005, -0.4326480000000002, -0.3461183999999998, -0.25958879999999945, -0.17305920000000066, -0.08652960000000033, 0.0]
+            c_d:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.011355780201157156, 0.03058564534801947, 0.05145589659560121, 0.07391573223420073, 0.09791049000000009, 0.1931047858713187, 0.30351584596862013, 0.4258645948611578, 0.556521623900833, 0.6916167985023124, 0.8271560905858567, 0.9591420920695235, 1.0836945540852239, 1.1971672963973543, 1.296257942324819, 1.37810715293591, 1.4403843537590417, 1.4813573580205537, 1.49994378, 1.4813573580205537, 1.4403843537590417, 1.37810715293591, 1.296257942324819, 1.1971672963973543, 1.0836945540852239, 0.9591420920695235, 0.827156090585857, 0.6916167985023124, 0.5565216239008328, 0.4258645948611574, 0.30351584596862036, 0.1931047858713187, 0.09791049, 0.09142225057142857, 0.08493401114285715, 0.07844577171428573, 0.07195753228571429, 0.06546929285714286, 0.058981053428571434, 0.052492814, 0.04600457457142857, 0.039516335142857135, 0.03302809571428571, 0.02653985628571428, 0.020051616857142844, 0.007075138, 0.0070048, 0.007025789, 0.007107283, 0.007192461, 0.007380432, 0.00762925, 0.007946111, 0.008236157, 0.00868069, 0.009185513, 0.009779681, 0.0106093, 0.01145872, 0.01280161, 0.01422176, 0.01570619, 0.01783508, 0.02028976, 0.02388913, 0.02938243, 0.04042839, 0.05983434, 0.07767586, 0.09791049, 0.19310478587131882, 0.3035158459686203, 0.4258645948611574, 0.5565216239008328, 0.6916167985023124, 0.8271560905858567, 0.9591420920695235, 1.0836945540852236, 1.1971672963973543, 1.296257942324819, 1.37810715293591, 1.4403843537590417, 1.4813573580205537, 1.49994378, 1.4813573580205537, 1.4403843537590417, 1.37810715293591, 1.296257942324819, 1.1971672963973543, 1.0836945540852239, 0.9591420920695235, 0.8271560905858567, 0.6916167985023124, 0.556521623900833, 0.4258645948611578, 0.3035158459686207, 0.1931047858713187, 0.09791049000000009, 0.07391573223420073, 0.051455896595600806, 0.03058564534801947, 0.011355780201157156, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+            c_m:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.4356674729441867, 0.471334945888374, 0.5070024188325614, 0.542669891776748, 0.5783373647209353, 0.6140048376651213, 0.6496723106093086, 0.562959456049522, 0.47624660148973547, 0.4548709786882502, 0.43349535588676497, 0.4337264420128756, 0.43395752813898625, 0.44167715508444216, 0.4493967820298981, 0.4572230651069656, 0.4650493481840331, 0.46816527217333426, 0.4712811961626355, 0.4666178263323271, 0.4619544565020188, 0.4451753195628771, 0.4283961826237354, 0.40561983354161446, 0.38284348445949345, 0.3573643832754241, 0.3318852820913547, 0.3067631441094566, 0.28164100612755855, 0.25866925362152937, 0.2356975011155002, 0.2130020734138978, 0.19030664571229539, 0.15024681210768093, 0.11018697850306651, 0.0936192961032835, 0.07705161370350044, 0.06048393130371748, 0.043916248903934446, 0.02734856650415142, 0.01078088410436838, -0.005786798295414605, -0.022354480695197645, -0.03711141713812849, -0.046436115710502775, -0.05576081428287709, -0.06508551285525141, -0.08373491, -0.08667785, -0.08946187, -0.09210771, -0.09467942, -0.09708186, -0.09930895, -0.1013799, -0.1033474, -0.1050084, -0.1064792, -0.1076493, -0.1083836, -0.1088507, -0.1084728, -0.1076684, -0.106531, -0.1043539, -0.1018661, -0.09869577, -0.09500862, -0.09103534, -0.09007767, -0.09333533, -0.11985339062368441, -0.1738130235852965, -0.22777265654690854, -0.2520954847025888, -0.27641831285826907, -0.29634567427093045, -0.3162730356835918, -0.33601198489442685, -0.3557509341052618, -0.37540391581018484, -0.3950568975151079, -0.41338887518334677, -0.43172085285158557, -0.44683765467680214, -0.4619544565020188, -0.4666178263323271, -0.4712811961626355, -0.46816527217333426, -0.4650493481840331, -0.4572230651069656, -0.4493967820298981, -0.44167715508444216, -0.43395752813898625, -0.4337264420128756, -0.43349535588676497, -0.4548709786882502, -0.4762466014897354, -0.5629594560495219, -0.6496723106093084, -0.6282905519508355, -0.6069087932923631, -0.5855270346338907, -0.5641452759754182, -0.5427635173169453, -0.5213817586584725, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.09119305000000037, 0.18238610000000074, 0.27357914999999944, 0.3647721999999998, 0.45596525000000016, 0.5471583000000004, 0.6383513499999992, 0.7295443999999996, 0.82073745, 0.9119305000000003, 1.0031235500000006, 1.0943166000000009, 1.1855096499999997, 1.2767027000000002, 1.109232923282525, 1.0003455643906614, 0.9189184015314429, 0.8491304426772563, 0.7822254250150972, 0.7132246325793566, 0.6394302213179048, 0.5596661693328254, 0.4738522770297505, 0.3827384844051181, 0.2877197864948379, 0.19069297123559617, 0.09393589841231512, 6.429154721772936e-17, -0.09393589841231512, -0.19069297123559617, -0.2877197864948379, -0.3827384844051181, -0.4738522770297505, -0.5596661693328254, -0.6394302213179047, -0.7132246325793564, -0.7822254250150972, -0.8491304426772565, -0.9189184015314431, -1.0003455643906611, -1.109232923282525, -1.2767027, -1.1953489214285713, -1.1139951428571426, -1.0326413642857144, -0.9512875857142857, -0.8699338071428571, -0.7885800285714285, -0.70722625, -0.6258724714285713, -0.5445186928571427, -0.46316491428571416, -0.3818111357142855, -0.30045735714285704, -0.1377498, -0.01059141, 0.1163065, 0.2421092, 0.3668938, 0.4908912, 0.6141921, 0.7416113, 0.8638417, 0.9849682, 1.10448, 1.222324, 1.337762, 1.449026, 1.556537, 1.658696, 1.754893, 1.842457, 1.922505, 1.995097, 2.04229, 2.031661, 1.976549, 1.881723, 1.823861, 1.5846184618321786, 1.4290650919866592, 1.3127405736163473, 1.213043489538938, 1.1174648928787103, 1.0188923322562238, 0.9134717447398639, 0.7995230990468937, 0.6769318243282151, 0.5467692634358831, 0.41102826642119705, 0.272418530336566, 0.1341941405890216, 9.184506745389908e-17, -0.09393589841231512, -0.19069297123559617, -0.2877197864948379, -0.3827384844051181, -0.4738522770297505, -0.5596661693328254, -0.6394302213179048, -0.7132246325793566, -0.7822254250150972, -0.8491304426772563, -0.9189184015314429, -1.0003455643906607, -1.109232923282525, -1.2767027, -1.1855096499999997, -1.0943165999999993, -1.0031235500000006, -0.9119305000000003, -0.82073745, -0.7295443999999996, -0.6383513499999992, -0.5471583000000004, -0.45596525000000016, -0.3647721999999998, -0.27357914999999944, -0.18238610000000074, -0.09119305000000037, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.018535701698642215, 0.03949422151928428, 0.06204976153877233, 0.08614760000000009, 0.18175980074614084, 0.2926751079053563, 0.4156106084222861, 0.5469324281146796, 0.6827653729389245, 0.8191097999384085, 0.9519621734683253, 1.0774356510461842, 1.1918770429518293, 1.2919766004958715, 1.3748673063200028, 1.4382106595451951, 1.4802663593342476, 1.49994378, 1.4802663593342476, 1.4382106595451951, 1.3748673063200028, 1.2919766004958715, 1.1918770429518293, 1.0774356510461842, 0.9519621734683253, 0.8191097999384088, 0.6827653729389245, 0.5469324281146792, 0.4156106084222857, 0.2926751079053565, 0.18175980074614084, 0.0861476, 0.080484956, 0.074822312, 0.06915966800000002, 0.06349702400000001, 0.05783438, 0.052171735999999996, 0.046509091999999995, 0.040846447999999994, 0.03518380399999999, 0.029521159999999994, 0.02385851599999999, 0.018195871999999988, 0.006870584, 0.006791523, 0.006735547, 0.006820208, 0.007053686, 0.007353141, 0.007687397, 0.007537493, 0.007944849, 0.008375112, 0.008876376, 0.00945789, 0.01013961, 0.01112034, 0.01226915, 0.01360586, 0.01521945, 0.01725355, 0.01958022, 0.02233102, 0.02664039, 0.03513151, 0.04817873, 0.06790601, 0.0861476, 0.18175980074614095, 0.29267510790535645, 0.4156106084222857, 0.5469324281146792, 0.6827653729389245, 0.8191097999384085, 0.9519621734683253, 1.077435651046184, 1.1918770429518293, 1.2919766004958715, 1.3748673063200028, 1.4382106595451951, 1.4802663593342476, 1.49994378, 1.4802663593342476, 1.4382106595451951, 1.3748673063200028, 1.2919766004958715, 1.1918770429518293, 1.0774356510461842, 0.9519621734683253, 0.8191097999384085, 0.6827653729389245, 0.5469324281146796, 0.4156106084222861, 0.2926751079053569, 0.18175980074614084, 0.08614760000000009, 0.06204976153877233, 0.039494221519283876, 0.018535701698642215, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.44001312480145843, 0.4800262496029176, 0.5200393744043769, 0.5600524992058353, 0.6000656240072945, 0.640078748808752, 0.6800918736102113, 0.5844579246185244, 0.48882397562683744, 0.46384611729856196, 0.43886825897028653, 0.43740051079798603, 0.4359327626256855, 0.442896485539588, 0.4498602084534905, 0.4574625784362113, 0.46506494841893203, 0.4682454883016623, 0.47142602818439255, 0.46693755468538234, 0.4624490811863722, 0.44534328642082777, 0.4282374916552833, 0.40529069505617826, 0.38234389845707323, 0.35693491354202195, 0.3315259286269707, 0.30674133601010495, 0.28195674339323923, 0.2595156397038385, 0.23707453601443784, 0.2147539726996906, 0.19243340938494335, 0.15092698423039008, 0.10942055907583689, 0.09217529467433494, 0.07493003027283295, 0.05768476587133105, 0.04043950146982908, 0.0231942370683271, 0.005948972666825134, -0.011296291734676792, -0.02854155613617876, -0.043512013749814525, -0.05165805099985161, -0.05980408824988871, -0.06795012549992582, -0.0842422, -0.08721171, -0.0902241, -0.09298233, -0.09542974, -0.09771866, -0.09994747, -0.1025318, -0.1043813, -0.1061046, -0.1075835, -0.1088186, -0.1097513, -0.1101166, -0.1100449, -0.1093509, -0.1080323, -0.1059415, -0.1033596, -0.1007965, -0.09729494, -0.09274834, -0.09001065, -0.09172173, -0.11860531039930014, -0.17476248568986408, -0.230919660980428, -0.25480863951478394, -0.2786976180491398, -0.2979222897595617, -0.31714696146998356, -0.33640240263671284, -0.3556578438034421, -0.37515097493433863, -0.39464410606523515, -0.4131090232327766, -0.43157394040031805, -0.4470115107933451, -0.4624490811863722, -0.46693755468538234, -0.47142602818439255, -0.4682454883016623, -0.46506494841893203, -0.4574625784362113, -0.4498602084534905, -0.442896485539588, -0.4359327626256855, -0.43740051079798603, -0.43886825897028653, -0.46384611729856196, -0.4888239756268373, -0.5844579246185243, -0.6800918736102112, -0.6543644630944664, -0.6286370525787222, -0.6029096420629779, -0.5771822315472337, -0.5514548210314889, -0.5257274105157442, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 6.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 6000000.0
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.09329225000000037, 0.18658450000000074, 0.27987674999999945, 0.3731689999999998, 0.4664612500000002, 0.5597535000000005, 0.6530457499999992, 0.7463379999999996, 0.83963025, 0.9329225000000004, 1.0262147500000007, 1.119507000000001, 1.2127992499999998, 1.3060915000000002, 1.1313569955651086, 1.0174202676247728, 0.932235194336056, 0.8595225193305339, 0.7902745173108225, 0.7193642729357552, 0.6440019451572356, 0.562952197502341, 0.47609555304237783, 0.38415551575322493, 0.2885092109720358, 0.19104150985468468, 0.09402269640781832, 6.429154721772936e-17, -0.09402269640781832, -0.19104150985468468, -0.2885092109720358, -0.38415551575322493, -0.47609555304237783, -0.562952197502341, -0.6440019451572354, -0.719364272935755, -0.7902745173108225, -0.8595225193305339, -0.932235194336056, -1.0174202676247726, -1.1313569955651086, -1.3060914999999997, -1.2226559, -1.1392202999999999, -1.0557847, -0.9723491, -0.8889135, -0.8054779, -0.7220423, -0.6386067, -0.5551711, -0.4717355000000001, -0.3882998999999999, -0.3048643, -0.1379931, -0.01163487, 0.1151811, 0.240891, 0.3661587, 0.4939906, 0.6180762, 0.7417262, 0.8651414, 0.985498, 1.106453, 1.224698, 1.339181, 1.452524, 1.557709, 1.660416, 1.757308, 1.849683, 1.937457, 2.014371, 2.070162, 2.075152, 2.014638, 1.950559, 1.865845, 1.6162242793787263, 1.453457525178247, 1.3317645633372228, 1.2278893133293343, 1.128963596158318, 1.027663247051079, 0.9200027787960506, 0.8042174250033447, 0.6801365043462541, 0.5487935939331785, 0.4121560156743369, 0.27291644264954956, 0.13431813772545476, 9.184506745389908e-17, -0.09402269640781832, -0.19104150985468468, -0.2885092109720358, -0.38415551575322493, -0.47609555304237783, -0.562952197502341, -0.6440019451572356, -0.7193642729357552, -0.7902745173108225, -0.8595225193305339, -0.932235194336056, -1.0174202676247723, -1.1313569955651086, -1.3060914999999997, -1.2127992499999998, -1.1195069999999994, -1.0262147500000007, -0.9329225000000004, -0.83963025, -0.7463379999999996, -0.6530457499999992, -0.5597535000000005, -0.4664612500000002, -0.3731689999999998, -0.27987674999999945, -0.18658450000000074, -0.09329225000000037, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.01342936867932347, 0.03442529354867789, 0.057021389644977966, 0.08116291000000009, 0.1769522038117461, 0.2880811927521439, 0.41126533751845384, 0.5428688715955519, 0.6790144569232545, 0.8157000711619404, 0.9489195820258987, 1.0747833528958428, 1.1896352236839987, 1.290162321708827, 1.3734943757708058, 1.4372895260643228, 1.479804033303685, 1.49994378, 1.479804033303685, 1.4372895260643228, 1.3734943757708058, 1.290162321708827, 1.1896352236839987, 1.0747833528958428, 0.9489195820258988, 0.8157000711619408, 0.6790144569232545, 0.5428688715955516, 0.4112653375184534, 0.28808119275214417, 0.1769522038117461, 0.08116291, 0.075865138, 0.070567366, 0.06526959400000001, 0.05997182200000001, 0.05467405, 0.049376278, 0.044078505999999996, 0.038780734, 0.03348296199999999, 0.02818519, 0.022887417999999993, 0.017589645999999987, 0.006994102, 0.007027958, 0.00698253, 0.007073651, 0.007239337, 0.007065408, 0.007316516, 0.007582198, 0.007858684, 0.00839834, 0.008786332, 0.009365114, 0.01018219, 0.01097694, 0.01226786, 0.01360975, 0.01520158, 0.01690629, 0.01877262, 0.02124853, 0.02496738, 0.03209935, 0.04478004, 0.06047754, 0.08116291, 0.1769522038117462, 0.28808119275214406, 0.4112653375184534, 0.5428688715955516, 0.6790144569232545, 0.8157000711619404, 0.9489195820258988, 1.0747833528958424, 1.1896352236839987, 1.290162321708827, 1.3734943757708058, 1.4372895260643228, 1.479804033303685, 1.49994378, 1.479804033303685, 1.4372895260643228, 1.3734943757708058, 1.290162321708827, 1.1896352236839987, 1.0747833528958428, 0.9489195820258987, 0.8157000711619404, 0.6790144569232545, 0.5428688715955519, 0.41126533751845384, 0.2880811927521445, 0.1769522038117461, 0.08116291000000009, 0.057021389644977966, 0.03442529354867749, 0.01342936867932347, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.4418471491105217, 0.48369429822104415, 0.5255414473315667, 0.5673885964420883, 0.6092357455526107, 0.6510828946631316, 0.6929300437736541, 0.5933727811573988, 0.49381551854114336, 0.4672480850993461, 0.4406806516575489, 0.43846292918048857, 0.43624520670342826, 0.4428778130826623, 0.4495104194618963, 0.4570200305079278, 0.46452964155395926, 0.4677480975719095, 0.4709665535898597, 0.46656699485541564, 0.46216743612097155, 0.4449389020456255, 0.4277103679702794, 0.40470808879989767, 0.38170580962951595, 0.35634563268567776, 0.33098545574183963, 0.30636685270508446, 0.2817482496683293, 0.25956074863009015, 0.23737324759185102, 0.21524845426239728, 0.19312366093294353, 0.15104927338364801, 0.10897488583435255, 0.09140077939406147, 0.07382667295377031, 0.05625256651347927, 0.03867846007318815, 0.02110435363289702, 0.0035302471926059037, -0.01404385924768517, -0.031617965687976285, -0.04666530906494725, -0.05413236325195779, -0.06159941743896835, -0.06906647162597891, -0.08400058, -0.08690365, -0.08993202, -0.09271736, -0.09523847, -0.0981221, -0.1003626, -0.1026148, -0.1046961, -0.1063461, -0.1080125, -0.1092983, -0.1100996, -0.1107159, -0.1103725, -0.1097158, -0.108468, -0.1068269, -0.1049482, -0.1024682, -0.09906729, -0.09440439, -0.09029008, -0.09054212, -0.11810833386961912, -0.17512812685368348, -0.2321479198377478, -0.2557962574627668, -0.2794445950877857, -0.29832787985309406, -0.3172111646184025, -0.33622878100444736, -0.35524639739049224, -0.3746471141535486, -0.394047830916605, -0.4125501450309566, -0.4310524591453082, -0.4466099476331399, -0.46216743612097155, -0.46656699485541564, -0.4709665535898597, -0.4677480975719095, -0.46452964155395926, -0.4570200305079278, -0.4495104194618963, -0.4428778130826623, -0.43624520670342826, -0.43846292918048857, -0.4406806516575489, -0.4672480850993462, -0.4938155185411433, -0.5933727811573987, -0.6929300437736539, -0.6653686089488459, -0.6378071741240384, -0.610245739299231, -0.5826843044744234, -0.5551228696496154, -0.5275614348248074, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 9.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 9000000.0
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.09540830000000039, 0.19081660000000078, 0.28622489999999945, 0.38163319999999984, 0.47704150000000023, 0.5724498000000006, 0.6678580999999992, 0.7632663999999997, 0.8586747, 0.9540830000000005, 1.0494913000000006, 1.1448996000000011, 1.2403078999999997, 1.3357162000000002, 1.1536586548417667, 1.034632027237264, 0.9456588792704125, 0.8699980118048898, 0.7983882186029194, 0.7255531953710435, 0.6486103656175137, 0.5662646021841741, 0.4783568355340509, 0.38558392142403347, 0.2893049720548172, 0.19139284614704474, 0.09411019111932013, 6.429154721772936e-17, -0.09411019111932013, -0.19139284614704474, -0.2893049720548172, -0.38558392142403347, -0.4783568355340509, -0.5662646021841741, -0.6486103656175135, -0.7255531953710433, -0.7983882186029194, -0.8699980118048899, -0.9456588792704126, -1.0346320272372638, -1.1536586548417667, -1.3357162, -1.250217542857143, -1.1647188857142856, -1.0792202285714287, -0.9937215714285714, -0.9082229142857143, -0.8227242571428571, -0.7372256, -0.6517269428571428, -0.5662282857142857, -0.48072962857142865, -0.39523097142857133, -0.30973231428571424, -0.138735, -0.01156626, 0.1143789, 0.2421907, 0.3687183, 0.4937773, 0.6173124, 0.7427337, 0.8655, 0.9856533, 1.105197, 1.224865, 1.34108, 1.453107, 1.559356, 1.665386, 1.762754, 1.856726, 1.945357, 2.022531, 2.079604, 2.113242, 2.05493, 1.981433, 1.908166, 1.6480837926310952, 1.4780457531960915, 1.3509412561005896, 1.2428543025784142, 1.1405545980041707, 1.0365045648157765, 0.9265862365964479, 0.8089494316916777, 0.683366907905787, 0.550834173462905, 0.41329281722116745, 0.27341835163863537, 0.13444313017045734, 9.184506745389908e-17, -0.09411019111932013, -0.19139284614704474, -0.2893049720548172, -0.38558392142403347, -0.4783568355340509, -0.5662646021841741, -0.6486103656175137, -0.7255531953710435, -0.7983882186029194, -0.8699980118048898, -0.9456588792704125, -1.0346320272372636, -1.1536586548417667, -1.3357162, -1.2403078999999997, -1.1448995999999994, -1.0494913000000006, -0.9540830000000005, -0.8586747, -0.7632663999999997, -0.6678580999999992, -0.5724498000000006, -0.47704150000000023, -0.38163319999999984, -0.28622489999999945, -0.19081660000000078, -0.09540830000000039, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.008191133487639432, 0.029225429619065962, 0.051863129400043395, 0.07604946000000008, 0.17202042138511955, 0.2833686117410491, 0.40680782350991945, 0.5387003489627034, 0.6751666506403506, 0.8122022653581632, 0.9457983971154476, 1.0720625429805093, 1.1873354957701083, 1.2883011781144185, 1.3720859809224215, 1.4363445986971712, 1.4793297648855928, 1.49994378, 1.4793297648855928, 1.4363445986971712, 1.3720859809224215, 1.2883011781144185, 1.1873354957701083, 1.0720625429805093, 0.9457983971154476, 0.8122022653581635, 0.6751666506403506, 0.5387003489627031, 0.40680782350991906, 0.2833686117410494, 0.17202042138511955, 0.07604946, 0.07112972657142856, 0.06620999314285714, 0.06129025971428573, 0.05637052628571429, 0.05145079285714286, 0.04653105942857143, 0.041611326, 0.036691592571428566, 0.031771859142857135, 0.02685212571428571, 0.02193239228571428, 0.017012658857142846, 0.007173192, 0.007078856, 0.007120177, 0.006943562, 0.006946975, 0.007133479, 0.007472378, 0.007554061, 0.007873501, 0.008409969, 0.0089212, 0.009379868, 0.01004512, 0.01096271, 0.01221863, 0.01329446, 0.01485094, 0.01647587, 0.01827212, 0.02064077, 0.02420605, 0.02933656, 0.04157084, 0.05756873, 0.07604946, 0.17202042138511967, 0.2833686117410493, 0.40680782350991906, 0.5387003489627031, 0.6751666506403506, 0.8122022653581632, 0.9457983971154476, 1.072062542980509, 1.1873354957701083, 1.2883011781144185, 1.3720859809224215, 1.4363445986971712, 1.4793297648855928, 1.49994378, 1.4793297648855928, 1.4363445986971712, 1.3720859809224215, 1.2883011781144185, 1.1873354957701083, 1.0720625429805093, 0.9457983971154476, 0.8122022653581632, 0.6751666506403506, 0.5387003489627034, 0.40680782350991945, 0.2833686117410497, 0.17202042138511955, 0.07604946000000008, 0.051863129400043395, 0.02922542961906556, 0.008191133487639432, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.4436973217180361, 0.487394643436073, 0.53109196515411, 0.574789286872146, 0.618486608590183, 0.6621839303082182, 0.7058812520262552, 0.6023451419599076, 0.49880903189356, 0.4706315630840859, 0.44245409427461174, 0.43947769749976695, 0.43650130072492216, 0.4427994565264916, 0.44909761232806106, 0.45651382759898185, 0.46393004286990264, 0.4671869816685403, 0.4704439204671779, 0.4661340621218465, 0.4618242037765151, 0.44446797936770976, 0.42711175495890447, 0.4040502594443742, 0.38098876392984393, 0.35567525901714514, 0.3303617541044464, 0.3059083945210898, 0.2814550349377333, 0.25952049213675976, 0.23758594933578625, 0.21565219875437536, 0.1937184481729645, 0.1510501328031783, 0.10838181743339223, 0.09046903514947213, 0.07255625286555198, 0.05464347058163195, 0.036730688297711825, 0.0188179060137917, 0.0009051237298715875, -0.017007658554048483, -0.03492044083796861, -0.05002978719134162, -0.05672882575307329, -0.06342786431480497, -0.07012690287653667, -0.08352498, -0.08655276, -0.08966156, -0.09272226, -0.09553118, -0.09797946, -0.100186, -0.1026614, -0.1047569, -0.1063716, -0.1078756, -0.1093606, -0.1103596, -0.1108477, -0.1106105, -0.1103313, -0.1091079, -0.1076026, -0.1057059, -0.1030433, -0.09963461, -0.09599128, -0.09114372, -0.09049183, -0.11742732320663063, -0.17534869934006433, -0.23327007547349798, -0.25668607601064225, -0.28010207654778646, -0.2986458184258679, -0.3171895603039493, -0.3359705092980726, -0.3547514582921958, -0.3740620136591176, -0.39337256902603934, -0.4119160299852152, -0.43045949094439107, -0.4461418473604531, -0.4618242037765151, -0.4661340621218465, -0.4704439204671779, -0.4671869816685403, -0.46393004286990264, -0.45651382759898185, -0.44909761232806106, -0.4427994565264916, -0.43650130072492216, -0.43947769749976695, -0.44245409427461174, -0.47063156308408594, -0.4988090318935599, -0.6023451419599075, -0.7058812520262551, -0.6764696445939326, -0.6470580371616107, -0.6176464297292887, -0.5882348222969669, -0.5588232148646444, -0.5294116074323219, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 12.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 12000000.0
+   -  name: FFA-W3-211
+      coordinates:
+          x: [1.0, 0.99944304, 0.99812049, 0.99569352, 0.99230484, 0.98802844, 0.98281508, 0.97666422, 0.96964069, 0.96174313, 0.95297315, 0.94338928, 0.93301284, 0.92185147, 0.90995468, 0.89736121, 0.88408503, 0.8701629, 0.85565276, 0.84057695, 0.82497463, 0.80889455, 0.79236237, 0.77542101, 0.75812546, 0.7405018, 0.72259209, 0.70444539, 0.68608843, 0.66757021, 0.64892678, 0.63018643, 0.61140138, 0.59259673, 0.57380843, 0.5550757, 0.53641763, 0.51787958, 0.49948103, 0.48125155, 0.46322225, 0.44540666, 0.42784323, 0.41053864, 0.39352525, 0.37681123, 0.36041977, 0.34436494, 0.32865846, 0.31331898, 0.29834798, 0.2837658, 0.26956679, 0.25577362, 0.2423778, 0.22939648, 0.21681735, 0.20465763, 0.19290757, 0.18157496, 0.17065819, 0.16014896, 0.15005511, 0.14035465, 0.1310675, 0.12216148, 0.11365876, 0.10553619, 0.09779065, 0.09042902, 0.08341621, 0.07677403, 0.0704692, 0.06450016, 0.05888182, 0.05356799, 0.04857581, 0.04389793, 0.03949498, 0.03539484, 0.03157626, 0.02800644, 0.02471592, 0.02168071, 0.01886319, 0.01629514, 0.0139662, 0.01181764, 0.00988361, 0.00818368, 0.00663128, 0.00524853, 0.00408271, 0.00308998, 0.00219098, 0.00145967, 0.00096333, 0.00059878, 0.00028988, 7.804e-05, 0.0, 7.807e-05, 0.00029009, 0.00059937, 0.00096448, 0.00146264, 0.00219661, 0.00309879, 0.00409516, 0.00526774, 0.00665839, 0.00821941, 0.00993095, 0.01187982, 0.01404463, 0.01639219, 0.01898469, 0.02182867, 0.02489252, 0.02822001, 0.03182924, 0.03568998, 0.03984236, 0.04430035, 0.04903788, 0.05410025, 0.05948747, 0.06518787, 0.07124791, 0.07764648, 0.08439704, 0.0915234, 0.09900711, 0.10688721, 0.11514762, 0.12380644, 0.13287211, 0.14233176, 0.1522146, 0.16249918, 0.17321393, 0.18434125, 0.19590296, 0.20788328, 0.22029378, 0.23312344, 0.24637487, 0.26004146, 0.27412439, 0.28861129, 0.30349962, 0.3187741, 0.33443448, 0.35045732, 0.36684322, 0.38356093, 0.40060975, 0.41795607, 0.4355933, 0.4534925, 0.47163211, 0.48999236, 0.50853595, 0.52724867, 0.5460886, 0.5650309, 0.58404504, 0.603088, 0.62213765, 0.64114752, 0.66008031, 0.67890619, 0.69757164, 0.71604492, 0.73429135, 0.75225234, 0.76989792, 0.78719153, 0.80407383, 0.82051349, 0.83646946, 0.85189026, 0.86674791, 0.8810097, 0.89461041, 0.90752456, 0.9197304, 0.9311753, 0.94182765, 0.95167536, 0.96067486, 0.96878747, 0.97601191, 0.98233053, 0.98768615, 0.99208631, 0.99557391, 0.99806302, 0.99942968, 1.0]
+          y: [0.00094, 0.00103065, 0.00124638, 0.00164402, 0.00220291, 0.00291409, 0.00378945, 0.00483319, 0.0060382, 0.00740799, 0.00894481, 0.01063951, 0.01252416, 0.014572, 0.01679743, 0.01918007, 0.02174274, 0.0244546, 0.02734973, 0.03038334, 0.0335578, 0.03687673, 0.04034551, 0.04394717, 0.04766271, 0.0514856, 0.05540822, 0.05935846, 0.06338795, 0.06740015, 0.07143043, 0.07541763, 0.07938054, 0.08322037, 0.08694859, 0.09053734, 0.0939943, 0.09729729, 0.10036579, 0.10331235, 0.10607106, 0.10853282, 0.11080624, 0.11273489, 0.11446777, 0.11590406, 0.11702887, 0.11783286, 0.11838114, 0.11853, 0.11841639, 0.11788959, 0.1171256, 0.11610432, 0.11482051, 0.1132508, 0.11140878, 0.10943488, 0.10728747, 0.10495952, 0.10246481, 0.09993483, 0.09720396, 0.0944128, 0.09156945, 0.08863322, 0.08564543, 0.082602, 0.07954082, 0.07647418, 0.07338251, 0.07029227, 0.06719918, 0.06411436, 0.06106016, 0.05802518, 0.05503441, 0.05207936, 0.04914881, 0.04627113, 0.04344932, 0.0406615, 0.03795784, 0.03530762, 0.03269165, 0.03015797, 0.02768421, 0.02525671, 0.02291827, 0.02065439, 0.01838965, 0.01632704, 0.01433576, 0.0122789, 0.01000166, 0.00710112, 0.0046218, 0.00275976, 0.00126291, 0.00032267, 0.0, -0.00031745, -0.00119506, -0.00249968, -0.0040402, -0.00605796, -0.00861062, -0.01064741, -0.01229951, -0.01388914, -0.01542391, -0.01691326, -0.018543, -0.02029739, -0.02206055, -0.02383464, -0.02571335, -0.02764445, -0.02960227, -0.03162977, -0.03370972, -0.03582576, -0.03799324, -0.04020728, -0.04245258, -0.04473761, -0.04705148, -0.04938937, -0.05176912, -0.05417055, -0.0565876, -0.05901518, -0.06144042, -0.0638658, -0.06627274, -0.06864841, -0.07099827, -0.07329403, -0.07554549, -0.07773395, -0.07982626, -0.08182466, -0.08370902, -0.08544832, -0.08703499, -0.08846568, -0.08971729, -0.09075297, -0.09157733, -0.0921612, -0.09245766, -0.09247435, -0.09216287, -0.09149343, -0.09046835, -0.08903859, -0.08720695, -0.08496013, -0.08226184, -0.07911059, -0.07550249, -0.07147457, -0.0670522, -0.06234033, -0.05743173, -0.05235704, -0.04718857, -0.04196804, -0.03681547, -0.03177633, -0.02692515, -0.02230712, -0.01797987, -0.01398064, -0.01032443, -0.00703746, -0.00411605, -0.00155747, 0.00059313, 0.00235599, 0.00375549, 0.00481536, 0.00553358, 0.00595799, 0.00609949, 0.00599693, 0.00565716, 0.00513478, 0.00447175, 0.00377384, 0.00309945, 0.00245775, 0.00185661, 0.00130603, 0.00082003, 0.00040675, 6.986e-05, -0.00017578, -0.00031253, 0.00094]
+      relative_thickness: 0.211
+      aerodynamic_center: 0.265
+      polars:
+         -  configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 3.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+            re: 3000000.0
+            c_l:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.0, 0.08297925000000034, 0.16595850000000067, 0.24893774999999949, 0.33191699999999985, 0.4148962500000002, 0.4978755000000005, 0.5808547499999994, 0.6638339999999997, 0.7468132500000001, 0.8297925000000004, 0.9127717500000007, 0.995751000000001, 1.0787302499999998, 1.1617095000000004, 1.022665397825782, 0.9335353862282185, 0.8668123061485067, 0.8084682752828606, 0.7507309603292912, 0.6892015241154127, 0.6215420912860298, 0.5468087281322628, 0.4650749211665879, 0.3771940508285956, 0.2846310342248478, 0.18932928876447852, 0.09359631822248798, 6.429157936470783e-17, -0.09359631822248798, -0.18932928876447852, -0.2846310342248478, -0.3771940508285956, -0.4650749211665879, -0.5468087281322628, -0.6215420912860297, -0.6892015241154126, -0.7507309603292912, -0.8084682752828606, -0.8668123061485067, -0.9335353862282182, -1.022665397825782, -1.1617095, -1.0893996285714285, -1.017089757142857, -0.9447798857142857, -0.8724700142857142, -0.8001601428571429, -0.7278502714285714, -0.6555404, -0.5832305285714285, -0.5109206571428572, -0.4386107857142858, -0.3663009142857142, -0.29399104285714284, -0.1493713, -0.0254312, 0.09839544, 0.2219684, 0.3453052, 0.4682054, 0.5906502, 0.7126588, 0.8340843, 0.9536559, 1.073053, 1.191184, 1.303193, 1.405614, 1.506983, 1.607029, 1.70069, 1.774143, 1.833922, 1.889991, 1.837481, 1.792678, 1.721865, 1.68908, 1.659585, 1.4609505683225457, 1.3336219803260265, 1.2383032944978667, 1.1549546789755152, 1.072472800470416, 0.9845736058791611, 0.8879172732657566, 0.7811553259032329, 0.664392744523697, 0.5388486440408509, 0.406615763178354, 0.2704704125206836, 0.1337090260321257, 9.184511337815406e-17, -0.09359631822248798, -0.18932928876447852, -0.2846310342248478, -0.3771940508285956, -0.4650749211665879, -0.5468087281322628, -0.6215420912860298, -0.6892015241154127, -0.7507309603292912, -0.8084682752828606, -0.8668123061485067, -0.9335353862282179, -1.022665397825782, -1.1617094999999997, -1.0787302499999998, -0.9957509999999995, -0.9127717500000007, -0.8297925000000004, -0.7468132500000001, -0.6638339999999997, -0.5808547499999994, -0.4978755000000005, -0.4148962500000002, -0.33191699999999985, -0.24893774999999949, -0.16595850000000067, -0.08297925000000034, 0.0]
+            c_d:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.00447106838801363, 0.02194978137666735, 0.04110911122972356, 0.061902286248010224, 0.08427855261626976, 0.10818330000000008, 0.20301267899997852, 0.3129834255201981, 0.43481981396266645, 0.5648963337025005, 0.6993472667427282, 0.8341834865879033, 0.9654129344773521, 1.0891611179347263, 1.2017879764207058, 1.2999975697214352, 1.380937263195051, 1.4422834034907066, 1.4823108891384122, 1.49994453, 1.4823108891384122, 1.4422834034907066, 1.380937263195051, 1.2999975697214352, 1.2017879764207058, 1.0891611179347263, 0.9654129344773521, 0.8341834865879036, 0.6993472667427282, 0.5648963337025004, 0.43481981396266595, 0.3129834255201983, 0.20301267899997852, 0.1081833, 0.10089140057142856, 0.09359950114285713, 0.08630760171428573, 0.07901570228571429, 0.07172380285714285, 0.06443190342857143, 0.05714000399999998, 0.04984810457142856, 0.04255620514285712, 0.0352643057142857, 0.02797240628571427, 0.020680506857142837, 0.006096708, 0.006062653, 0.006072486, 0.006156035, 0.006242229, 0.006372805, 0.006556383, 0.006760719, 0.007012624, 0.007438931, 0.007796135, 0.008248449, 0.009293489, 0.01115554, 0.01287295, 0.01446452, 0.01646027, 0.01991948, 0.02375041, 0.02767998, 0.04146366, 0.05523307, 0.0734185, 0.08951861, 0.1081833, 0.20301267899997863, 0.31298342552019826, 0.43481981396266595, 0.5648963337025004, 0.6993472667427282, 0.8341834865879033, 0.9654129344773521, 1.0891611179347258, 1.2017879764207058, 1.2999975697214352, 1.380937263195051, 1.4422834034907066, 1.4823108891384122, 1.49994453, 1.4823108891384122, 1.4422834034907066, 1.380937263195051, 1.2999975697214352, 1.2017879764207058, 1.0891611179347263, 0.9654129344773521, 0.8341834865879033, 0.6993472667427282, 0.5648963337025005, 0.43481981396266645, 0.31298342552019864, 0.20301267899997852, 0.10818330000000008, 0.08427855261626976, 0.06190228624800982, 0.04110911122972356, 0.02194978137666735, 0.00447106838801363, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+            c_m:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.4297009258183692, 0.4594018516367391, 0.4891027774551089, 0.518803703273478, 0.5485046290918478, 0.5782055549102165, 0.6079064807285863, 0.5297358917793482, 0.4515653028301101, 0.43354403318091755, 0.415522763531725, 0.4173609307068042, 0.41919909788188336, 0.4277302179365647, 0.436261337991246, 0.44449490655324403, 0.45272847511524206, 0.4560589598026454, 0.4593894444900487, 0.45488239159965194, 0.45037533870925517, 0.43419429426171097, 0.41801324981416677, 0.39568311521692573, 0.3733529806196847, 0.34809641777644024, 0.32283985493319584, 0.2977175409150973, 0.27259522689699883, 0.24953318633682695, 0.22647114577665506, 0.20408139582389107, 0.18169164587112707, 0.14444446688510837, 0.10719728789908976, 0.0910026853410878, 0.07480808278308576, 0.05861348022508384, 0.04241887766708184, 0.026224275109079848, 0.010029672551077853, -0.006164930006924099, -0.022359532564926107, -0.03631866569850244, -0.043571390558801944, -0.050824115419101465, -0.058076840279400986, -0.07258229, -0.07491653, -0.07721803, -0.07941979, -0.08162229, -0.08375497, -0.08580198, -0.08782281, -0.08975433, -0.09147809, -0.09318155, -0.09474007, -0.09571073, -0.09581773, -0.09581806, -0.09559468, -0.09516827, -0.09353109, -0.09202991, -0.09089964, -0.08905595, -0.08871012, -0.09037582, -0.09542645, -0.12038242014334632, -0.17012193234913228, -0.2198614445549182, -0.24357524530541916, -0.2672890460559201, -0.2872437688694037, -0.30719849168288726, -0.32693497267948013, -0.346671453676073, -0.36611101870425156, -0.3855505837324301, -0.40344287682158314, -0.42133516991073616, -0.43585525430999567, -0.45037533870925517, -0.45488239159965194, -0.4593894444900487, -0.4560589598026454, -0.45272847511524206, -0.44449490655324403, -0.436261337991246, -0.4277302179365647, -0.41919909788188336, -0.4173609307068042, -0.415522763531725, -0.43354403318091755, -0.45156530283011, -0.529735891779348, -0.607906480728586, -0.5924912691959306, -0.5770760576632756, -0.5616608461306206, -0.5462456345979656, -0.5308304230653104, -0.515415211532655, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.08517950000000034, 0.17035900000000068, 0.25553849999999945, 0.34071799999999985, 0.4258975000000002, 0.5110770000000004, 0.5962564999999992, 0.6814359999999997, 0.7666154999999999, 0.8517950000000004, 0.9369745000000006, 1.022154000000001, 1.1073334999999997, 1.1925130000000002, 1.0458544651084392, 0.9514320210371234, 0.8807701345442526, 0.8193605993379166, 0.7591675148851552, 0.6956367107075269, 0.6263338859589944, 0.5502529371070994, 0.4674261826218009, 0.3786792943612137, 0.2854584595325625, 0.18969460512149522, 0.09368729444657618, 6.429157936470783e-17, -0.09368729444657618, -0.18969460512149522, -0.2854584595325625, -0.3786792943612137, -0.4674261826218009, -0.5502529371070994, -0.6263338859589943, -0.6956367107075266, -0.7591675148851552, -0.8193605993379166, -0.8807701345442526, -0.9514320210371233, -1.0458544651084392, -1.192513, -1.1178920714285714, -1.0432711428571428, -0.9686502142857143, -0.8940292857142857, -0.8194083571428571, -0.7447874285714285, -0.6701665, -0.5955455714285713, -0.5209246428571428, -0.44630371428571425, -0.3716827857142857, -0.29706185714285716, -0.14782, -0.02339331, 0.1007439, 0.2247179, 0.3479327, 0.4706781, 0.5940752, 0.7168112, 0.8384993, 0.9574855, 1.076015, 1.19334, 1.301454, 1.408503, 1.513141, 1.612977, 1.703896, 1.792407, 1.869986, 1.925366, 1.922163, 1.861013, 1.797719, 1.745316, 1.70359, 1.4940778072977703, 1.359188601481605, 1.2582430493489323, 1.1705151419113096, 1.0845250212645074, 0.9937667295821813, 0.8947626942271347, 0.7860756244387137, 0.6677516894597156, 0.5409704205160196, 0.40779779933223215, 0.2709922930307075, 0.1338389920665374, 9.184511337815406e-17, -0.09368729444657618, -0.18969460512149522, -0.2854584595325625, -0.3786792943612137, -0.4674261826218009, -0.5502529371070994, -0.6263338859589944, -0.6956367107075269, -0.7591675148851552, -0.8193605993379166, -0.8807701345442526, -0.9514320210371231, -1.0458544651084392, -1.1925129999999997, -1.1073334999999997, -1.0221539999999996, -0.9369745000000006, -0.8517950000000004, -0.7666154999999999, -0.6814359999999997, -0.5962564999999992, -0.5110770000000004, -0.4258975000000002, -0.34071799999999985, -0.25553849999999945, -0.17035900000000068, -0.08517950000000034, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.01680353528856264, 0.03599713374807387, 0.05682775516204097, 0.07924462243717885, 0.10319310000000008, 0.1981997678215468, 0.30838443232351775, 0.4304697398629122, 0.560828285390218, 0.6955922045219288, 0.8307699887494558, 0.9623669798009334, 1.0865058879746214, 1.1995436790801834, 1.2981812854584, 1.3795628150294472, 1.441361251802989, 1.4818480520597348, 1.49994453, 1.4818480520597348, 1.441361251802989, 1.3795628150294472, 1.2981812854584, 1.1995436790801834, 1.0865058879746214, 0.9623669798009334, 0.8307699887494562, 0.6955922045219288, 0.5608282853902179, 0.43046973986291176, 0.308384432323518, 0.1981997678215468, 0.1031931, 0.09623354178571428, 0.08927398357142856, 0.08231442535714287, 0.07535486714285715, 0.06839530892857142, 0.06143575071428571, 0.054476192499999986, 0.04751663428571428, 0.040557076071428555, 0.03359751785714285, 0.026637959642857128, 0.01967840142857141, 0.005759285, 0.005626611, 0.005621085, 0.005657943, 0.005820541, 0.00603937, 0.006104081, 0.006241879, 0.006476543, 0.007009962, 0.007545164, 0.008135786, 0.009670273, 0.01107489, 0.01247712, 0.01415689, 0.01642609, 0.01866723, 0.02157035, 0.02591545, 0.03438079, 0.04876738, 0.06610437, 0.08455575, 0.1031931, 0.1981997678215469, 0.30838443232351787, 0.43046973986291176, 0.5608282853902179, 0.6955922045219288, 0.8307699887494558, 0.9623669798009334, 1.0865058879746212, 1.1995436790801834, 1.2981812854584, 1.3795628150294472, 1.441361251802989, 1.4818480520597348, 1.49994453, 1.4818480520597348, 1.441361251802989, 1.3795628150294472, 1.2981812854584, 1.1995436790801834, 1.0865058879746214, 0.9623669798009334, 0.8307699887494558, 0.6955922045219288, 0.560828285390218, 0.4304697398629122, 0.3083844323235183, 0.1981997678215468, 0.10319310000000008, 0.07924462243717885, 0.05682775516204057, 0.03599713374807387, 0.01680353528856264, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.43167945618370185, 0.4633589123674043, 0.4950383685511068, 0.5267178247348085, 0.558397280918511, 0.5900767371022122, 0.6217561932859147, 0.5396150495873419, 0.45747390588876896, 0.43783063003364836, 0.41818735417852776, 0.4192542232064555, 0.42032109223438324, 0.4285084300285282, 0.4366957678226731, 0.4448307875982831, 0.4529658073738931, 0.4563335193659074, 0.45970123135792174, 0.45528547988739854, 0.4508697284168754, 0.4345688089862424, 0.41826788955560934, 0.39588646723761073, 0.3735050449196121, 0.3483052766905802, 0.3231055084615483, 0.2981641519998165, 0.2732227955380848, 0.2504413433576601, 0.2276598911772354, 0.20551571764957816, 0.18337154412192092, 0.1456637176207499, 0.10795589111957897, 0.09143676063881434, 0.07491763015804964, 0.058398499677285054, 0.0418793691965204, 0.025360238715755726, 0.008841108234991069, -0.007678022245773547, -0.024197152726538204, -0.03831619341629685, -0.04523496473303747, -0.05215373604977811, -0.059072507366518756, -0.07291005, -0.07544112, -0.07778913, -0.08008706, -0.08230541, -0.08445826, -0.08661756, -0.08863547, -0.09061493, -0.09234128, -0.09394186, -0.09545092, -0.09609857, -0.0965711, -0.09684385, -0.09674768, -0.09592869, -0.09518122, -0.09416803, -0.09271188, -0.09023158, -0.08904103, -0.09139698, -0.09570072, -0.1212814602948575, -0.17172879414541076, -0.22217612799596398, -0.24557651472726783, -0.2689769014585716, -0.2885502834074172, -0.3081236653562627, -0.3276000448944222, -0.3470764244325817, -0.3664119495888856, -0.3857474747451895, -0.40367164976253234, -0.42159582477987523, -0.43623277659837534, -0.4508697284168754, -0.45528547988739854, -0.45970123135792174, -0.4563335193659074, -0.4529658073738931, -0.4448307875982831, -0.4366957678226731, -0.4285084300285282, -0.42032109223438324, -0.4192542232064555, -0.41818735417852776, -0.4378306300336484, -0.4574739058887689, -0.5396150495873417, -0.6217561932859146, -0.6043624513879265, -0.586968709489939, -0.5695749675919513, -0.5521812256939637, -0.5347874837959756, -0.5173937418979877, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 6.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 6000000.0
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.08856905000000036, 0.17713810000000071, 0.26570714999999945, 0.3542761999999998, 0.44284525000000025, 0.5314143000000005, 0.6199833499999993, 0.7085523999999996, 0.79712145, 0.8856905000000005, 0.9742595500000006, 1.062828600000001, 1.15139765, 1.2399667000000003, 1.0815779069936484, 0.9790023146476337, 0.902272580738458, 0.8361405457080181, 0.7721642759326857, 0.7055503053959942, 0.6337157869401318, 0.555558842586321, 0.4710483702211725, 0.3809673558160419, 0.28673313261596867, 0.1902573857409367, 0.093827446002244, 6.429157936470783e-17, -0.093827446002244, -0.1902573857409367, -0.28673313261596867, -0.3809673558160419, -0.4710483702211725, -0.555558842586321, -0.6337157869401316, -0.7055503053959941, -0.7721642759326857, -0.8361405457080181, -0.9022725807384581, -0.9790023146476334, -1.0815779069936484, -1.2399667, -1.1619440642857144, -1.0839214285714285, -1.005898792857143, -0.9278761571428572, -0.8498535214285714, -0.7718308857142857, -0.69380825, -0.6157856142857142, -0.5377629785714285, -0.4597403428571428, -0.381717707142857, -0.30369507142857133, -0.1476498, -0.02337363, 0.100632, 0.2241, 0.3486988, 0.4720934, 0.5950021, 0.7173971, 0.8374942, 0.9572782, 1.075806, 1.190837, 1.301907, 1.410031, 1.51592, 1.617252, 1.713893, 1.80664, 1.891187, 1.960617, 1.985525, 1.948797, 1.88626, 1.822183, 1.771381, 1.5451112957052118, 1.3985747352109053, 1.2889608296263688, 1.1944864938685973, 1.1030918227609796, 1.0079290077085632, 0.9053082670573309, 0.7936554894090304, 0.6729262431731037, 0.5442390797372028, 0.40961876087995525, 0.2717962653441953, 0.1340392085746343, 9.184511337815406e-17, -0.093827446002244, -0.1902573857409367, -0.28673313261596867, -0.3809673558160419, -0.4710483702211725, -0.555558842586321, -0.6337157869401318, -0.7055503053959942, -0.7721642759326857, -0.8361405457080181, -0.902272580738458, -0.9790023146476331, -1.0815779069936484, -1.2399666999999999, -1.15139765, -1.0628285999999993, -0.9742595500000006, -0.8856905000000005, -0.79712145, -0.7085523999999996, -0.6199833499999993, -0.5314143000000005, -0.44284525000000025, -0.3542761999999998, -0.26570714999999945, -0.17713810000000071, -0.08856905000000036, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.0072049850370627805, 0.026462499783412224, 0.04736296455592125, 0.06985555884415878, 0.09388560000000008, 0.18922293907855992, 0.2998065939246355, 0.42235617433779055, 0.5532407418716079, 0.6885884287974908, 0.8244032837814484, 0.9566858000584848, 1.0815534706659617, 1.1953577150913828, 1.2947936325029674, 1.3769992551918941, 1.4396412953215991, 1.4809847888418697, 1.49994453, 1.4809847888418697, 1.4396412953215991, 1.3769992551918941, 1.2947936325029674, 1.1953577150913828, 1.0815534706659617, 0.9566858000584848, 0.8244032837814488, 0.6885884287974908, 0.5532407418716078, 0.4223561743377901, 0.2998065939246357, 0.18922293907855992, 0.0938856, 0.08759320778571428, 0.08130081557142857, 0.07500842335714286, 0.06871603114285714, 0.06242363892857142, 0.05613124671428571, 0.04983885449999999, 0.04354646228571428, 0.03725407007142856, 0.03096167785714285, 0.02466928564285713, 0.018376893428571413, 0.005792109, 0.005736665, 0.005720128, 0.00585104, 0.005762922, 0.005878817, 0.006031402, 0.006222263, 0.006703663, 0.007135741, 0.007642646, 0.008512535, 0.009689263, 0.01099228, 0.01233477, 0.01393446, 0.01571626, 0.01755951, 0.01983645, 0.023175, 0.02955003, 0.0409711, 0.05655938, 0.07485231, 0.0938856, 0.18922293907856003, 0.29980659392463566, 0.4223561743377901, 0.5532407418716078, 0.6885884287974908, 0.8244032837814484, 0.9566858000584848, 1.0815534706659615, 1.1953577150913828, 1.2947936325029674, 1.3769992551918941, 1.4396412953215991, 1.4809847888418697, 1.49994453, 1.4809847888418697, 1.4396412953215991, 1.3769992551918941, 1.2947936325029674, 1.1953577150913828, 1.0815534706659617, 0.9566858000584848, 0.8244032837814484, 0.6885884287974908, 0.5532407418716079, 0.42235617433779055, 0.29980659392463604, 0.18922293907855992, 0.09388560000000008, 0.06985555884415878, 0.047362964555920845, 0.026462499783412224, 0.0072049850370627805, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.43477082633261516, 0.469541652665231, 0.5043124789978468, 0.539083305330462, 0.5738541316630779, 0.6086249579956923, 0.6433957843283081, 0.5547685511124121, 0.466141317896516, 0.4438756645757544, 0.42161001125499276, 0.4214391191751111, 0.42126822709522943, 0.42890429749483483, 0.43654036789444023, 0.444511182243697, 0.4524819965929538, 0.45589480431691276, 0.4593076120408717, 0.45501606678660256, 0.45072452153233344, 0.43414878315577343, 0.41757304477921336, 0.3950355460110191, 0.3724980472428248, 0.34732527931680346, 0.32215251139078216, 0.2974426683673387, 0.2727328253438952, 0.25033407426552357, 0.22793532318715193, 0.20607143463038508, 0.18420754607361822, 0.1454688509996062, 0.10673015592559422, 0.08968921872002664, 0.07264828151445898, 0.05560734430889144, 0.03856640710332383, 0.021525469897756208, 0.0044845326921885975, -0.012556404513378971, -0.029597341718946582, -0.043829312022021207, -0.049634381617616956, -0.055439451213212726, -0.06124452080880849, -0.07285466, -0.07526769, -0.07776492, -0.08004758, -0.08237431, -0.08459176, -0.08674192, -0.08882556, -0.09069247, -0.09248497, -0.09413849, -0.09545601, -0.0963117, -0.09693621, -0.097317, -0.09726371, -0.09688815, -0.09630867, -0.09536744, -0.09417946, -0.09199111, -0.08959649, -0.08992051, -0.0932346, -0.1196561221075435, -0.17168308630781073, -0.22371005050807793, -0.24679340254409882, -0.26987675458011967, -0.2889486453739853, -0.30802053616785086, -0.32716426186658376, -0.34630798756531656, -0.36555433043149754, -0.3848006732976784, -0.40285491722127953, -0.4209091611448807, -0.4358168413386071, -0.45072452153233344, -0.45501606678660256, -0.4593076120408717, -0.45589480431691276, -0.4524819965929538, -0.444511182243697, -0.43654036789444023, -0.42890429749483483, -0.42126822709522943, -0.4214391191751111, -0.42161001125499276, -0.4438756645757544, -0.4661413178965159, -0.554768551112412, -0.6433957843283079, -0.6229106722814065, -0.6024255602345056, -0.5819404481876046, -0.5614553361407036, -0.5409702240938024, -0.520485112046901, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 9.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 9000000.0
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.09031625000000036, 0.18063250000000072, 0.2709487499999994, 0.36126499999999984, 0.4515812500000002, 0.5418975000000005, 0.6322137499999992, 0.7225299999999997, 0.81284625, 0.9031625000000004, 0.9934787500000006, 1.083795000000001, 1.1741112499999997, 1.2644275000000003, 1.0999921500825058, 0.9932138816687082, 0.9133563747496144, 0.8447900485322398, 0.778863672873945, 0.7106604328877527, 0.6375209107454283, 0.558293859934729, 0.4729154871463166, 0.3821467752002893, 0.28739018408631933, 0.19054748038426342, 0.09389968945581834, 6.429157936470783e-17, -0.09389968945581834, -0.19054748038426342, -0.28739018408631933, -0.3821467752002893, -0.4729154871463166, -0.558293859934729, -0.6375209107454282, -0.7106604328877526, -0.778863672873945, -0.8447900485322398, -0.9133563747496146, -0.9932138816687078, -1.0999921500825058, -1.2644274999999998, -1.1846672928571427, -1.1049070857142855, -1.0251468785714284, -0.9453866714285712, -0.8656264642857141, -0.785866257142857, -0.7061060499999999, -0.6263458428571427, -0.5465856357142856, -0.4668254285714285, -0.38706522142857136, -0.3073050142857142, -0.1477846, -0.02309387, 0.1009707, 0.2251608, 0.3488897, 0.472241, 0.5954337, 0.7171092, 0.8377548, 0.9570468, 1.074759, 1.190718, 1.302387, 1.411413, 1.518232, 1.621368, 1.722462, 1.818219, 1.908658, 1.98618, 2.031524, 2.005166, 1.937143, 1.867225, 1.806325, 1.5714173572607226, 1.4188769738124403, 1.3047948210708782, 1.2068429264746283, 1.1126623898199215, 1.0152291898396468, 0.9107441582077546, 0.7975626570496132, 0.6755935530661666, 0.5459239645718419, 0.4105574058375991, 0.27221068626323347, 0.1341424135083119, 9.184511337815406e-17, -0.09389968945581834, -0.19054748038426342, -0.28739018408631933, -0.3821467752002893, -0.4729154871463166, -0.558293859934729, -0.6375209107454283, -0.7106604328877527, -0.778863672873945, -0.8447900485322398, -0.9133563747496144, -0.9932138816687076, -1.0999921500825058, -1.2644274999999998, -1.1741112499999997, -1.0837949999999994, -0.9934787500000006, -0.9031625000000004, -0.81284625, -0.7225299999999997, -0.6322137499999992, -0.5418975000000005, -0.4515812500000002, -0.36126499999999984, -0.2709487499999994, -0.18063250000000072, -0.09031625000000036, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.02021855662559266, 0.04116475969936244, 0.06370694531612485, 0.08779040000000009, 0.18334428567493344, 0.29418922721941204, 0.4170428458834557, 0.5482718893059746, 0.6840018680888587, 0.8202339214262513, 0.9529653674217754, 1.0783102824865642, 1.1926164539896327, 1.292575161131068, 1.3753204574565352, 1.4385149478872326, 1.480419463892578, 1.49994453, 1.480419463892578, 1.4385149478872326, 1.3753204574565352, 1.292575161131068, 1.1926164539896327, 1.0783102824865642, 0.9529653674217754, 0.8202339214262516, 0.6840018680888587, 0.5482718893059745, 0.4170428458834552, 0.2941892272194123, 0.18334428567493344, 0.0877904, 0.08194877914285714, 0.07610715828571428, 0.07026553742857145, 0.06442391657142857, 0.05858229571428571, 0.05274067485714286, 0.046899053999999996, 0.04105743314285714, 0.03521581228571427, 0.029374191428571426, 0.023532570571428563, 0.0176909497142857, 0.006007708, 0.005767102, 0.005737482, 0.005700534, 0.005774571, 0.005886886, 0.005980685, 0.006285037, 0.006697857, 0.007196653, 0.007818183, 0.008566128, 0.00966, 0.010897, 0.01216425, 0.0135722, 0.01497022, 0.01662752, 0.0185973, 0.02134795, 0.02626477, 0.03639644, 0.05117543, 0.06839169, 0.0877904, 0.18334428567493355, 0.2941892272194122, 0.4170428458834552, 0.5482718893059745, 0.6840018680888587, 0.8202339214262513, 0.9529653674217754, 1.0783102824865638, 1.1926164539896327, 1.292575161131068, 1.3753204574565352, 1.4385149478872326, 1.480419463892578, 1.49994453, 1.480419463892578, 1.4385149478872326, 1.3753204574565352, 1.292575161131068, 1.1926164539896327, 1.0783102824865642, 0.9529653674217754, 0.8202339214262513, 0.6840018680888587, 0.5482718893059746, 0.4170428458834557, 0.29418922721941265, 0.18334428567493344, 0.08779040000000009, 0.06370694531612485, 0.04116475969936205, 0.02021855662559266, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.4364495647287927, 0.4728991294575861, 0.5093486941863795, 0.5457982589151722, 0.5822478236439655, 0.6186973883727576, 0.6551469531015509, 0.5629436807787214, 0.4707404084558917, 0.44704652316126947, 0.42335263786664723, 0.422516357502538, 0.4216800771384288, 0.4290246727330629, 0.43636926832769696, 0.44425597991908294, 0.45214269151046893, 0.4555805866734606, 0.4590184818364522, 0.45479038200846417, 0.4505622821804761, 0.4337852739102509, 0.4170082656400257, 0.394340245633121, 0.37167222562621627, 0.3464753852704115, 0.3212785449146068, 0.296660223198812, 0.2720419014830174, 0.24981305635507223, 0.22758421122712705, 0.20580881769763343, 0.18403342416813984, 0.14456920432861856, 0.10510498448909733, 0.08779981654293686, 0.07049464859677636, 0.053189480650615954, 0.03588431270445547, 0.018579144758294988, 0.0012739768121345085, -0.01603119113402593, -0.03333635908018642, -0.04755586146648263, -0.0525183671731861, -0.05748087287988958, -0.06244337858659306, -0.07236839, -0.07510853, -0.07762067, -0.08008401, -0.08236601, -0.08458674, -0.086867, -0.08889276, -0.09071898, -0.09255279, -0.09414011, -0.09547018, -0.09644319, -0.09712456, -0.09752292, -0.09765636, -0.09768229, -0.09727165, -0.0966129, -0.09552338, -0.09362969, -0.09066737, -0.08930674, -0.09085538, -0.11744827461072005, -0.17058767398812127, -0.22372707336552247, -0.24674434059699907, -0.26976160782847564, -0.28862422223405604, -0.3074868366396365, -0.32649921002795834, -0.3455115834162802, -0.3647561576731142, -0.3840007319299482, -0.40217435178928224, -0.42034797164861626, -0.4354551269145462, -0.4505622821804761, -0.45479038200846417, -0.4590184818364522, -0.4555805866734606, -0.45214269151046893, -0.44425597991908294, -0.43636926832769696, -0.4290246727330629, -0.4216800771384288, -0.422516357502538, -0.42335263786664723, -0.44704652316126947, -0.4707404084558916, -0.5629436807787211, -0.6551469531015507, -0.6329831026584718, -0.6108192522153932, -0.5886554017723148, -0.5664915513292363, -0.5443277008861575, -0.5221638504430784, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 12.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 12000000.0
+   -  name: NACA63-618
+      coordinates:
+          x: [1.0, 0.99944304, 0.99812049, 0.99569352, 0.99230484, 0.98802844, 0.98281508, 0.97666422, 0.96964069, 0.96174313, 0.95297315, 0.94338928, 0.93301284, 0.92185147, 0.90995468, 0.89736121, 0.88408503, 0.8701629, 0.85565276, 0.84057695, 0.82497463, 0.80889455, 0.79236237, 0.77542101, 0.75812546, 0.7405018, 0.72259209, 0.70444539, 0.68608843, 0.66757021, 0.64892678, 0.63018643, 0.61140138, 0.59259673, 0.57380843, 0.55507571, 0.53641763, 0.51787958, 0.49948103, 0.48125155, 0.46322225, 0.44540666, 0.42784323, 0.41053864, 0.39352525, 0.37681123, 0.36041977, 0.34436494, 0.32865846, 0.31331898, 0.29834798, 0.2837658, 0.26956679, 0.25577362, 0.2423778, 0.22939648, 0.21681735, 0.20465764, 0.19290757, 0.18157496, 0.17065819, 0.16014896, 0.15005511, 0.14035465, 0.1310675, 0.12216148, 0.11365876, 0.10553619, 0.09779065, 0.09042902, 0.08341621, 0.07677403, 0.07046921, 0.06450016, 0.05888182, 0.05356799, 0.04857581, 0.04389793, 0.03949498, 0.03539484, 0.03157626, 0.02800644, 0.02471592, 0.02168071, 0.01886319, 0.01629514, 0.0139662, 0.01181764, 0.00988361, 0.00818368, 0.00663128, 0.00524853, 0.00408271, 0.00308998, 0.00219098, 0.00145967, 0.00096333, 0.00059878, 0.00028988, 7.8e-05, 0.0, 7.81e-05, 0.00029009, 0.00059937, 0.00096449, 0.00146264, 0.00219661, 0.00309879, 0.00409516, 0.00526774, 0.00665839, 0.00821941, 0.00993095, 0.01187983, 0.01404464, 0.01639219, 0.0189847, 0.02182867, 0.02489253, 0.02822001, 0.03182924, 0.03568998, 0.03984236, 0.04430035, 0.04903788, 0.05410025, 0.05948747, 0.06518787, 0.07124791, 0.07764648, 0.08439704, 0.0915234, 0.09900711, 0.10688721, 0.11514762, 0.12380644, 0.13287211, 0.14233176, 0.1522146, 0.16249918, 0.17321393, 0.18434125, 0.19590296, 0.20788328, 0.22029378, 0.23312344, 0.24637487, 0.26004146, 0.27412439, 0.28861129, 0.30349962, 0.3187741, 0.33443448, 0.35045732, 0.36684322, 0.38356093, 0.40060975, 0.41795607, 0.4355933, 0.4534925, 0.47163212, 0.48999236, 0.50853595, 0.52724867, 0.5460886, 0.5650309, 0.58404504, 0.603088, 0.62213765, 0.64114752, 0.66008031, 0.67890619, 0.69757164, 0.71604493, 0.73429135, 0.75225234, 0.76989792, 0.78719153, 0.80407383, 0.82051349, 0.83646946, 0.85189026, 0.86674791, 0.8810097, 0.89461041, 0.90752456, 0.9197304, 0.9311753, 0.94182765, 0.95167536, 0.96067486, 0.96878747, 0.97601191, 0.98233053, 0.98768615, 0.99208631, 0.99557391, 0.99806302, 0.99942968, 1.0]
+          y: [0.0, 0.00014961, 0.0005044, 0.0011538, 0.002057, 0.00319119, 0.00456582, 0.00617701, 0.00800389, 0.01004339, 0.01229232, 0.01473403, 0.01733095, 0.02010105, 0.02305906, 0.02623298, 0.02962358, 0.03320244, 0.03693477, 0.04080254, 0.04480886, 0.04892404, 0.05312862, 0.05742458, 0.06176028, 0.06610024, 0.07045076, 0.07474908, 0.07896678, 0.08310542, 0.08711455, 0.09101158, 0.09475381, 0.09827283, 0.10161136, 0.10471511, 0.10757029, 0.11021863, 0.11256137, 0.11466519, 0.1165235, 0.11798099, 0.11927446, 0.12026597, 0.12064924, 0.12079165, 0.12087739, 0.12088545, 0.1203867, 0.11943321, 0.11833977, 0.11715313, 0.11567749, 0.11402345, 0.11228179, 0.11037641, 0.10829959, 0.10610805, 0.10384564, 0.10147789, 0.09899762, 0.09643584, 0.09382407, 0.0911771, 0.08846861, 0.08570501, 0.08292177, 0.08013709, 0.07737247, 0.07463805, 0.07185293, 0.06904629, 0.06624022, 0.06346479, 0.06073536, 0.05802092, 0.05532878, 0.05266119, 0.05002941, 0.04746984, 0.04496681, 0.04250261, 0.04010877, 0.03778384, 0.03551494, 0.03332985, 0.03121231, 0.02911228, 0.02707793, 0.02516035, 0.02322995, 0.0212945, 0.01952729, 0.01803552, 0.01666717, 0.01467474, 0.00988427, 0.0052124, 0.00181327, 0.00031022, 0.0, -0.00023318, -0.00084685, -0.00169238, -0.00261818, -0.00376318, -0.00522514, -0.00670602, -0.00801724, -0.00925124, -0.01048754, -0.01189026, -0.01344959, -0.01495342, -0.01654474, -0.01810579, -0.01960492, -0.02111743, -0.02261566, -0.02410823, -0.02559658, -0.02708858, -0.0285961, -0.03011432, -0.03162833, -0.03315044, -0.03467722, -0.03618623, -0.03768452, -0.0391671, -0.04064356, -0.04211923, -0.04356097, -0.04493729, -0.04627091, -0.04759619, -0.04890008, -0.05016489, -0.05137666, -0.05252837, -0.05365676, -0.05473462, -0.05572731, -0.05659439, -0.05740565, -0.05815398, -0.05876538, -0.05917658, -0.05952368, -0.05979071, -0.0599, -0.05979396, -0.05951134, -0.05911871, -0.05851467, -0.05753822, -0.05637506, -0.05504926, -0.05345756, -0.05169858, -0.04973148, -0.0475589, -0.04525334, -0.04277118, -0.04016094, -0.03745228, -0.03463203, -0.03176071, -0.02883232, -0.02587616, -0.02292943, -0.01998141, -0.0171003, -0.01429621, -0.01157816, -0.0090195, -0.00658557, -0.00431606, -0.00227707, -0.00037934, 0.00129944, 0.00266078, 0.00392751, 0.00499301, 0.00562495, 0.00580237, 0.00591079, 0.00598316, 0.00602152, 0.00583098, 0.00533587, 0.00464119, 0.00383468, 0.00299129, 0.00218013, 0.00145022, 0.00083241, 0.00037083, 0.00011023, 0.0]
+      relative_thickness: 0.18
+      aerodynamic_center: 0.228
+      polars:
+         -  configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 3.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+            re: 3000000.0
+            c_l:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.0, 0.09640460000000038, 0.19280920000000076, 0.2892137999999994, 0.3856183999999998, 0.48202300000000015, 0.5784276000000005, 0.6748321999999991, 0.7712367999999996, 0.8676414, 0.9640460000000003, 1.0604506000000007, 1.156855200000001, 1.2532598, 1.3496644000000002, 1.164159597739035, 1.0427369775801032, 0.9519806495833849, 0.8749319360157092, 0.8022102937106387, 0.7284690879732839, 0.6507820853808528, 0.5678260136758368, 0.47942316907434024, 0.38625786889053665, 0.28968075373810864, 0.19155903712979447, 0.09415178240250259, 6.429182968251358e-17, -0.09415178240250259, -0.19155903712979447, -0.28968075373810864, -0.38625786889053665, -0.47942316907434024, -0.5678260136758368, -0.6507820853808527, -0.7284690879732838, -0.8022102937106387, -0.8749319360157093, -0.9519806495833851, -1.0427369775801028, -1.164159597739035, -1.3496643999999998, -1.2479363735714284, -1.1462083471428568, -1.0444803207142856, -0.9427522942857142, -0.8410242678571427, -0.7392962414285713, -0.6375682149999999, -0.5358401885714285, -0.4341121621428571, -0.3323841357142856, -0.23065610928571423, -0.12892808285714286, 0.07452797, 0.1998425, 0.3227165, 0.4452549, 0.5667201, 0.6871841, 0.8066637, 0.9225929, 1.035231, 1.146722, 1.249549, 1.352136, 1.433012, 1.530778, 1.637247, 1.726088, 1.806521, 1.866696, 1.936509, 1.957733, 1.981328, 1.955544, 1.956971, 1.930658, 1.928092, 1.6630851396271926, 1.4896242536858615, 1.359972356547693, 1.2499027657367277, 1.1460147053009124, 1.04067012567612, 0.9296886934012182, 0.8111800195369101, 0.6848902415347718, 0.5517969555579095, 0.41382964819729806, 0.27365576732827784, 0.13450254628928943, 9.184547097501941e-17, -0.09415178240250259, -0.19155903712979447, -0.28968075373810864, -0.38625786889053665, -0.47942316907434024, -0.5678260136758368, -0.6507820853808528, -0.7284690879732839, -0.8022102937106387, -0.8749319360157092, -0.9519806495833849, -1.0427369775801025, -1.164159597739035, -1.3496643999999998, -1.2532598, -1.1568551999999994, -1.0604506000000007, -0.9640460000000003, -0.8676414, -0.7712367999999996, -0.6748321999999991, -0.5784276000000005, -0.48202300000000015, -0.3856183999999998, -0.2892137999999994, -0.19280920000000076, -0.09640460000000038, 0.0]
+            c_d:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.0141516252767791, 0.035142352130331775, 0.05773281158577272, 0.08186826000000005, 0.17763292808031025, 0.2887321838782573, 0.4118817036634911, 0.5434459725830973, 0.6795479387738232, 0.8161858988334642, 0.9493540701228319, 1.075163194113176, 1.1899575147576686, 1.290424586651337, 1.3736945861805718, 1.4374261183096577, 1.47987592239756, 1.49995037, 1.47987592239756, 1.4374261183096577, 1.3736945861805718, 1.290424586651337, 1.1899575147576686, 1.075163194113176, 0.9493540701228319, 0.8161858988334645, 0.6795479387738232, 0.5434459725830971, 0.4118817036634907, 0.2887321838782575, 0.17763292808031025, 0.08186826, 0.07646750207142856, 0.07106674414285714, 0.06566598621428572, 0.06026522828571428, 0.05486447035714285, 0.04946371242857142, 0.04406295449999999, 0.03866219657142856, 0.033261438642857126, 0.02786068071428571, 0.022459922785714275, 0.017059164857142844, 0.006257649, 0.005655439, 0.005586646, 0.005567796, 0.005653706, 0.005820823, 0.006045212, 0.006542261, 0.0072828, 0.008044488, 0.009437042, 0.01071848, 0.01351354, 0.01495139, 0.01545317, 0.01735709, 0.01971453, 0.02324176, 0.02510693, 0.03184685, 0.03780164, 0.04892353, 0.05845687, 0.07112212, 0.08186826, 0.1776329280803104, 0.28873218387825744, 0.4118817036634907, 0.5434459725830971, 0.6795479387738232, 0.8161858988334642, 0.9493540701228319, 1.0751631941131756, 1.1899575147576686, 1.290424586651337, 1.3736945861805718, 1.4374261183096577, 1.47987592239756, 1.49995037, 1.47987592239756, 1.4374261183096577, 1.3736945861805718, 1.290424586651337, 1.1899575147576686, 1.075163194113176, 0.9493540701228319, 0.8161858988334642, 0.6795479387738232, 0.5434459725830973, 0.4118817036634911, 0.28873218387825783, 0.17763292808031025, 0.08186826000000005, 0.05773281158577272, 0.035142352130331345, 0.0141516252767791, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+            c_m:
+                grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+                values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.4499111191709084, 0.4998222383418179, 0.5497333575127273, 0.5996444766836357, 0.6495555958545451, 0.6994667150254525, 0.7493778341963621, 0.6413843432720758, 0.5333908523477895, 0.50354895457424, 0.47370705680069036, 0.46985683044262505, 0.46600660408455974, 0.47169352832005995, 0.4773804525555602, 0.484259103032744, 0.49113775350992783, 0.49386070994528236, 0.4965836663806369, 0.4917297274659026, 0.48687578855116825, 0.46924732298813765, 0.451618857425107, 0.4283063563676518, 0.40499385531019666, 0.3794528089669735, 0.35391176262375035, 0.32921216935634456, 0.3045125760889388, 0.2821802270459497, 0.2598478780029606, 0.23696740987597942, 0.21408694174899823, 0.16831031763660217, 0.1225336935242062, 0.1082625386943438, 0.09399138386448133, 0.07972022903461896, 0.06544907420475654, 0.051177919374894104, 0.03690676454503167, 0.022635609715169272, 0.008364454885306835, -0.0076607964162761985, -0.02894833713302093, -0.05023587784976572, -0.07152341856651052, -0.1140985, -0.117815, -0.1203741, -0.1228317, -0.1250718, -0.127105, -0.1290093, -0.1304272, -0.1313809, -0.1322184, -0.1318568, -0.1315464, -0.1284529, -0.1278603, -0.1283211, -0.127242, -0.1250514, -0.1216762, -0.1191981, -0.11398780000000001, -0.1102347, -0.1050018, -0.1026166, -0.1011787, -0.12699749862396165, -0.18942345785477463, -0.25184941708558756, -0.2766913148667729, -0.3015332126479582, -0.320698326428296, -0.3398634402086338, -0.3590060932728971, -0.37814874633716034, -0.39774176269457195, -0.4173347790519835, -0.43614820414380784, -0.45496162923563216, -0.4709187088934002, -0.48687578855116825, -0.4917297274659026, -0.4965836663806369, -0.49386070994528236, -0.49113775350992783, -0.484259103032744, -0.4773804525555602, -0.47169352832005995, -0.46600660408455974, -0.46985683044262505, -0.47370705680069036, -0.50354895457424, -0.5333908523477893, -0.6413843432720756, -0.7493778341963618, -0.7137524293111669, -0.6781270244259726, -0.6425016195407784, -0.6068762146555842, -0.5712508097703892, -0.5356254048851943, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.1006761500000004, 0.2013523000000008, 0.3020284499999994, 0.4027045999999998, 0.5033807500000003, 0.6040569000000006, 0.7047330499999992, 0.8054091999999996, 0.9060853500000001, 1.0067615000000005, 1.1074376500000007, 1.2081138000000011, 1.30878995, 1.4094661000000004, 1.2091786911835232, 1.0774813795425977, 0.9790782802543762, 0.8960782179461149, 0.8185889618679394, 0.740962314328264, 0.660084842129087, 0.5745125769511299, 0.48398789165996253, 0.3891413103229897, 0.29128711145798986, 0.19226825975668452, 0.09432840300925362, 6.429182968251358e-17, -0.09432840300925362, -0.19226825975668452, -0.29128711145798986, -0.3891413103229897, -0.48398789165996253, -0.5745125769511299, -0.6600848421290868, -0.740962314328264, -0.8185889618679394, -0.8960782179461149, -0.9790782802543764, -1.0774813795425975, -1.2091786911835232, -1.4094660999999997, -1.3032398299999999, -1.1970135599999998, -1.09078729, -0.9845610199999999, -0.8783347499999999, -0.7721084799999999, -0.6658822099999999, -0.5596559399999999, -0.4534296699999999, -0.34720339999999994, -0.24097712999999987, -0.1347508599999998, 0.07770168, 0.2040168, 0.3274495, 0.4498414, 0.5711968, 0.6909795, 0.8086569, 0.923182, 1.029363, 1.140024, 1.241546, 1.345905, 1.450317, 1.554012, 1.652689, 1.747913, 1.836116, 1.917792, 1.984266, 2.038171, 2.064451, 2.067586, 2.043532, 2.033094, 2.013523, 1.7273981302621757, 1.5392591136322826, 1.398683257506252, 1.2801117399230213, 1.169412802668485, 1.05851759189752, 0.9429783458986956, 0.8207322527873286, 0.6914112737999465, 0.555916157604271, 0.41612444493998557, 0.2746689425095493, 0.13475486144179089, 9.184547097501941e-17, -0.09432840300925362, -0.19226825975668452, -0.29128711145798986, -0.3891413103229897, -0.48398789165996253, -0.5745125769511299, -0.660084842129087, -0.740962314328264, -0.8185889618679394, -0.8960782179461149, -0.9790782802543762, -1.077481379542597, -1.2091786911835232, -1.4094660999999997, -1.30878995, -1.2081137999999993, -1.1074376500000007, -1.0067615000000005, -0.9060853500000001, -0.8054091999999996, -0.7047330499999992, -0.6040569000000006, -0.5033807500000003, -0.4027045999999998, -0.3020284499999994, -0.2013523000000008, -0.1006761500000004, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.006208494076679227, 0.02725740616968736, 0.04991095243083807, 0.07411435000000005, 0.17015449432704316, 0.2815861417681872, 0.40512243889197386, 0.5371249272363999, 0.6737132198237855, 0.8108819120143955, 0.9446211819770602, 1.0710374247772867, 1.1864702638275155, 1.287602394212158, 1.3715589308209155, 1.435993253656355, 1.47915675341581, 1.49995037, 1.47915675341581, 1.435993253656355, 1.3715589308209155, 1.287602394212158, 1.1864702638275155, 1.0710374247772867, 0.9446211819770602, 0.8108819120143959, 0.6737132198237855, 0.5371249272363997, 0.40512243889197347, 0.2815861417681874, 0.17015449432704316, 0.07411435, 0.06926386835714285, 0.0644133867142857, 0.05956290507142857, 0.054712423428571424, 0.04986194178571428, 0.04501146014285713, 0.040160978499999986, 0.03531049685714285, 0.0304600152142857, 0.025609533571428564, 0.020759051928571418, 0.015908570285714276, 0.006207607, 0.005353518, 0.005207506, 0.005213288, 0.00530725, 0.005529535, 0.005919365, 0.00656454, 0.007900026, 0.008770112, 0.01029703, 0.01147319, 0.01252791, 0.01353725, 0.01482291, 0.01623476, 0.0179928, 0.020122, 0.0230703, 0.02673197, 0.03235023, 0.03979525, 0.05002327, 0.06128602, 0.07411435, 0.17015449432704327, 0.28158614176818736, 0.40512243889197347, 0.5371249272363997, 0.6737132198237855, 0.8108819120143955, 0.9446211819770602, 1.0710374247772865, 1.1864702638275155, 1.287602394212158, 1.3715589308209155, 1.435993253656355, 1.47915675341581, 1.49995037, 1.47915675341581, 1.435993253656355, 1.3715589308209155, 1.287602394212158, 1.1864702638275155, 1.0710374247772867, 0.9446211819770602, 0.8108819120143955, 0.6737132198237855, 0.5371249272363999, 0.40512243889197386, 0.2815861417681878, 0.17015449432704316, 0.07411435000000005, 0.04991095243083807, 0.02725740616968693, 0.006208494076679227, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.45340868339143603, 0.506817366782873, 0.56022605017431, 0.613634733565746, 0.667043416957183, 0.720452100348618, 0.7738607837400551, 0.6584655374621041, 0.5430702911841532, 0.5101925482490332, 0.4773148053139131, 0.4720251873393049, 0.4667355693646967, 0.47179644022066497, 0.47685731107663326, 0.4835849055749256, 0.49031250007321797, 0.49315354859706956, 0.49599459712092114, 0.49137084170726913, 0.4867470862936171, 0.46902681898095133, 0.45130655166828554, 0.42801767836066107, 0.4047288050530366, 0.3793957174659587, 0.3540626298788809, 0.32978626845550696, 0.30550990703213304, 0.283780291537457, 0.2620506760427809, 0.23972951564110243, 0.21740835523942398, 0.170986653050147, 0.12456495086087013, 0.10963214067971436, 0.09469933049855853, 0.0797665203174028, 0.064833710136247, 0.049900899955091185, 0.034968089773935396, 0.020035279592779634, 0.005102469411623831, -0.011253084023088594, -0.03187686721847084, -0.052500650413853156, -0.07312443360923547, -0.114372, -0.118619, -0.1214092, -0.1238515, -0.126068, -0.1280375, -0.129666, -0.1308522, -0.130831, -0.1315838, -0.1310344, -0.1310284, -0.1310888, -0.1311493, -0.1307017, -0.1299751, -0.1286521, -0.1269895, -0.1240089, -0.1203408, -0.1154717, -0.1103614, -0.1054674, -0.1040712, -0.12994994190004255, -0.19335016453954762, -0.25675038717905263, -0.2808282597793359, -0.30490613237961917, -0.32322630886409637, -0.34154648534857357, -0.3600822382977487, -0.37861799124692386, -0.39789473797655694, -0.41717148470619003, -0.4359171773385996, -0.4546628699710091, -0.4707049781323131, -0.4867470862936171, -0.49137084170726913, -0.49599459712092114, -0.49315354859706956, -0.49031250007321797, -0.4835849055749256, -0.47685731107663326, -0.47179644022066497, -0.4667355693646967, -0.4720251873393049, -0.4773148053139131, -0.5101925482490332, -0.543070291184153, -0.658465537462104, -0.7738607837400548, -0.7347378146343323, -0.6956148455286105, -0.6564918764228888, -0.6173689073171669, -0.5782459382114443, -0.5391229691057218, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 6.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 6000000.0
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.1035148000000004, 0.2070296000000008, 0.31054439999999933, 0.41405919999999974, 0.5175740000000002, 0.6210888000000006, 0.7246035999999991, 0.8281183999999995, 0.9316331999999999, 1.0351480000000004, 1.1386628000000005, 1.242177600000001, 1.3456923999999997, 1.4492072000000003, 1.2390960395948014, 1.100570702301511, 0.9970859564618908, 0.9101309372638674, 0.8294733729984944, 0.7492646628885206, 0.6662669705001407, 0.5789561191878847, 0.4870213689147474, 0.39105749555369823, 0.2923546132644866, 0.19273957223337831, 0.09444577587984013, 6.429182968251358e-17, -0.09444577587984013, -0.19273957223337831, -0.2923546132644866, -0.39105749555369823, -0.4870213689147474, -0.5789561191878847, -0.6662669705001406, -0.7492646628885204, -0.8294733729984944, -0.9101309372638674, -0.9970859564618909, -1.1005707023015106, -1.2390960395948014, -1.4492071999999998, -1.3400073607142855, -1.2308075214285712, -1.121607682142857, -1.0124078428571428, -0.9032080035714284, -0.7940081642857141, -0.6848083249999999, -0.5756084857142855, -0.46640864642857127, -0.35720880714285697, -0.24800896785714266, -0.13880912857142835, 0.07959055, 0.2043061, 0.3290429, 0.4516674, 0.5733684, 0.694104, 0.809545, 0.9186798, 1.036699, 1.136917, 1.244257, 1.353494, 1.460358, 1.56474, 1.666635, 1.764047, 1.855889, 1.940839, 2.014146, 2.078122, 2.112317, 2.115987, 2.102965, 2.088802, 2.070296, 1.7701371994211446, 1.5722438604307298, 1.4244085092312728, 1.3001870532340964, 1.1849619614264206, 1.0703780898407438, 0.9518099578573438, 0.827080170268407, 0.6957448127353535, 0.5586535650767118, 0.41764944752069516, 0.2753422460476833, 0.13492253697120019, 9.184547097501941e-17, -0.09444577587984013, -0.19273957223337831, -0.2923546132644866, -0.39105749555369823, -0.4870213689147474, -0.5789561191878847, -0.6662669705001407, -0.7492646628885206, -0.8294733729984944, -0.9101309372638674, -0.9970859564618908, -1.10057070230151, -1.2390960395948014, -1.4492071999999996, -1.3456923999999997, -1.2421775999999993, -1.1386628000000005, -1.0351480000000004, -0.9316331999999999, -0.8281183999999995, -0.7246035999999991, -0.6210888000000006, -0.5175740000000002, -0.41405919999999974, -0.31054439999999933, -0.2070296000000008, -0.1035148000000004, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.02120764827876717, 0.043909598156450014, 0.06816513000000006, 0.1644166346338546, 0.2761033109586897, 0.3999363646192514, 0.5322750786571052, 0.6692365072140256, 0.8068124058602436, 0.9409898536775845, 1.067871910933502, 1.1837946559111627, 1.2854370552150567, 1.3699203402803013, 1.4348938822356498, 1.478604967995344, 1.49995037, 1.478604967995344, 1.4348938822356498, 1.3699203402803013, 1.2854370552150567, 1.1837946559111627, 1.067871910933502, 0.9409898536775845, 0.8068124058602439, 0.6692365072140256, 0.532275078657105, 0.39993636461925103, 0.2761033109586899, 0.1644166346338546, 0.06816513, 0.06372016750000001, 0.059275205, 0.05483024250000001, 0.050385280000000005, 0.0459403175, 0.041495355, 0.037050392499999994, 0.03260543, 0.028160467499999994, 0.023715504999999998, 0.019270542499999994, 0.01482557999999999, 0.005935655, 0.005426812, 0.005051887, 0.00505377, 0.005140921, 0.005307896, 0.00590647, 0.007028297, 0.007502081, 0.009097949, 0.01012591, 0.01090139, 0.01178142, 0.01276746, 0.0138195, 0.01509333, 0.01661543, 0.01853657, 0.02090974, 0.02400866, 0.02890161, 0.03602016, 0.0449925, 0.05560924, 0.06816513, 0.16441663463385475, 0.27610331095868984, 0.39993636461925103, 0.532275078657105, 0.6692365072140256, 0.8068124058602436, 0.9409898536775845, 1.0678719109335018, 1.1837946559111627, 1.2854370552150567, 1.3699203402803013, 1.4348938822356498, 1.478604967995344, 1.49995037, 1.478604967995344, 1.4348938822356498, 1.3699203402803013, 1.2854370552150567, 1.1837946559111627, 1.067871910933502, 0.9409898536775845, 0.8068124058602436, 0.6692365072140256, 0.5322750786571052, 0.3999363646192514, 0.27610331095869023, 0.1644166346338546, 0.06816513000000006, 0.043909598156450014, 0.02120764827876674, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.45602054028550343, 0.5120410805710081, 0.5680616208565126, 0.624082161142016, 0.6801027014275205, 0.7361232417130228, 0.7921437819985274, 0.6715665685435267, 0.550989355088526, 0.5160060103297721, 0.48102266557101825, 0.47473924129038747, 0.4684558170097567, 0.4730812020797575, 0.47770658714975833, 0.48431932129760213, 0.49093205544544594, 0.4938362629755099, 0.4967404705055739, 0.49225128065395535, 0.4877620908023368, 0.46992618231523925, 0.4520902738281417, 0.42876992148073717, 0.40544956913333263, 0.380216554906671, 0.3549835406800094, 0.3309564105948122, 0.306929280509615, 0.2855629488984772, 0.2641966172873394, 0.242171589985077, 0.22014656268281466, 0.17305667848503564, 0.1259667942872567, 0.11062520982179888, 0.095283625356341, 0.0799420408908832, 0.06460045642542535, 0.04925887195996749, 0.03391728749450963, 0.018575703029051815, 0.0032341185635939573, -0.01335248074809472, -0.03367412459847574, -0.053995768448856826, -0.07431741229923791, -0.1149607, -0.1183864, -0.121742, -0.1242298, -0.1265126, -0.1285948, -0.1298874, -0.1302767, -0.1320305, -0.1311997, -0.1314789, -0.1320981, -0.1324564, -0.1325483, -0.1324411, -0.1319062, -0.1308038, -0.1292315, -0.1265143, -0.1236495, -0.118778, -0.112874, -0.1077618, -0.1050753, -0.13152547219622568, -0.1959333840497447, -0.26034129590326366, -0.28403515086614783, -0.3077290058290319, -0.325550504141527, -0.3433720024540221, -0.3615509014935404, -0.3797298005330587, -0.39884180155125326, -0.4179538025694478, -0.43670432830161265, -0.4554548540337775, -0.47160847241805715, -0.4877620908023368, -0.49225128065395535, -0.4967404705055739, -0.4938362629755099, -0.49093205544544594, -0.48431932129760213, -0.47770658714975833, -0.4730812020797575, -0.4684558170097567, -0.47473924129038747, -0.48102266557101825, -0.5160060103297721, -0.5509893550885258, -0.6715665685435266, -0.7921437819985271, -0.750408955998737, -0.7086741299989479, -0.6669393039991586, -0.6252044779993693, -0.5834696519995792, -0.5417348259997892, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 9.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 9000000.0
+        #  -  c_l:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.10525870000000041, 0.21051740000000083, 0.31577609999999934, 0.42103479999999976, 0.5262935000000002, 0.6315522000000006, 0.7368108999999992, 0.8420695999999995, 0.9473282999999999, 1.0525870000000004, 1.1578457000000006, 1.2631044000000011, 1.3683630999999998, 1.4736218, 1.2574755030349678, 1.114755427420588, 1.0081488161093586, 0.9187641034584417, 0.8361601165458055, 0.7543651386971733, 0.6700649074301184, 0.5816859708098447, 0.4888849593484462, 0.3922346873257845, 0.29301042373789804, 0.19302911896443228, 0.09451788288458386, 6.429182968251358e-17, -0.09451788288458386, -0.19302911896443228, -0.29301042373789804, -0.3922346873257845, -0.4888849593484462, -0.5816859708098447, -0.6700649074301182, -0.754365138697173, -0.8361601165458055, -0.9187641034584418, -1.0081488161093588, -1.1147554274205878, -1.2574755030349678, -1.4736217999999994, -1.3626492078571426, -1.2516766157142856, -1.1407040235714285, -1.0297314314285715, -0.9187588392857142, -0.807786247142857, -0.6968136549999999, -0.5858410628571427, -0.4748684707142856, -0.3638958785714286, -0.2529232864285713, -0.14195069428571405, 0.07999449, 0.2045603, 0.3287957, 0.4517991, 0.5737944, 0.6925095, 0.8042228, 0.9263183, 1.029816, 1.137979, 1.249135, 1.359767, 1.467851, 1.573724, 1.676124, 1.775354, 1.869568, 1.956165, 2.037273, 2.098434, 2.142703, 2.158095, 2.151898, 2.125952, 2.105174, 1.7963935757642395, 1.592507753457983, 1.4402125944419413, 1.3125201477977742, 1.1945144522082936, 1.0776644838531046, 0.957235582043026, 0.8309799582997784, 0.6984070847834947, 0.5603352676082636, 0.4185863196255687, 0.27575588423490327, 0.13502554697797695, 9.184547097501941e-17, -0.09451788288458386, -0.19302911896443228, -0.29301042373789804, -0.3922346873257845, -0.4888849593484462, -0.5816859708098447, -0.6700649074301184, -0.7543651386971733, -0.8361601165458055, -0.9187641034584417, -1.0081488161093586, -1.1147554274205873, -1.2574755030349678, -1.4736217999999994, -1.3683630999999998, -1.2631043999999993, -1.1578457000000006, -1.0525870000000004, -0.9473282999999999, -0.8420695999999995, -0.7368108999999992, -0.6315522000000006, -0.5262935000000002, -0.42103479999999976, -0.31577609999999934, -0.21051740000000083, -0.10525870000000041, 0.0]
+        #     c_d:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.016097647743822205, 0.038840482316534544, 0.06314005000000006, 0.15957008265106562, 0.2714721721801288, 0.3955558848073816, 0.5281785959083007, 0.6654551982355288, 0.8033750486965977, 0.9379226086923378, 1.0651981217130455, 1.181534671605942, 1.2836080756702504, 1.3685362851346132, 1.4339652849844544, 1.4781388958244248, 1.49995037, 1.4781388958244248, 1.4339652849844544, 1.3685362851346132, 1.2836080756702504, 1.181534671605942, 1.0651981217130455, 0.9379226086923378, 0.803375048696598, 0.6654551982355288, 0.5281785959083005, 0.3955558848073812, 0.27147217218012903, 0.15957008265106562, 0.06314005, 0.05904861214285714, 0.05495717428571428, 0.05086573642857144, 0.04677429857142858, 0.04268286071428571, 0.03859142285714286, 0.034499985, 0.03040854714285714, 0.02631710928571428, 0.022225671428571427, 0.018134233571428567, 0.014042795714285704, 0.00585992, 0.005427238, 0.005143275, 0.005075736, 0.005128182, 0.005493663, 0.006460861, 0.006423865, 0.007978741, 0.009019101, 0.00971267, 0.01040268, 0.01115995, 0.01204275, 0.01306897, 0.01419726, 0.01554424, 0.01726104, 0.01924316, 0.02247428, 0.02644206, 0.03271419, 0.04078356, 0.05142301, 0.06314005, 0.15957008265106576, 0.271472172180129, 0.3955558848073812, 0.5281785959083005, 0.6654551982355288, 0.8033750486965977, 0.9379226086923378, 1.065198121713045, 1.181534671605942, 1.2836080756702504, 1.3685362851346132, 1.4339652849844544, 1.4781388958244248, 1.49995037, 1.4781388958244248, 1.4339652849844544, 1.3685362851346132, 1.2836080756702504, 1.181534671605942, 1.0651981217130455, 0.9379226086923378, 0.8033750486965977, 0.6654551982355288, 0.5281785959083007, 0.3955558848073816, 0.2714721721801294, 0.15957008265106562, 0.06314005000000006, 0.038840482316534544, 0.016097647743821775, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001, 0.001]
+        #     c_m:
+        #         grid: [-3.141592653589793, -3.1166593785613026, -3.091726103532812, -3.066792828504322, -3.0418595534758315, -3.016926278447341, -2.9919930034188504, -2.9670597283903604, -2.94212645336187, -2.9171931783333793, -2.892259903304889, -2.8673266282763983, -2.8423933532479078, -2.817460078219418, -2.792526803190927, -2.705260340591211, -2.6179938779914944, -2.530727415391778, -2.443460952792061, -2.356194490192345, -2.2689280275926285, -2.181661564992912, -2.0943951023931953, -2.007128639793479, -1.9198621771937625, -1.8325957145940461, -1.7453292519943295, -1.6580627893946132, -1.5707963267948966, -1.4835298641951802, -1.3962634015954636, -1.3089969389957472, -1.2217304763960306, -1.1344640137963142, -1.0471975511965979, -0.9599310885968813, -0.8726646259971648, -0.7853981633974483, -0.6981317007977318, -0.6108652381980153, -0.5235987755982989, -0.43633231299858233, -0.3490658503988659, -0.3291192303760736, -0.3091726103532812, -0.2892259903304889, -0.26927937030769655, -0.2493327502849042, -0.22938613026211185, -0.20943951023931956, -0.18949289021652718, -0.16954627019373483, -0.14959965017094254, -0.12965303014815016, -0.10970641012535781, -0.06981317007977318, -0.0523598775598299, -0.03490658503988659, -0.017453292519943295, 0.0, 0.017453292519943295, 0.03490658503988659, 0.0523598775598299, 0.06981317007977318, 0.08726646259971647, 0.1047197551196598, 0.12217304763960307, 0.13962634015954636, 0.15707963267948966, 0.17453292519943295, 0.19198621771937624, 0.2094395102393196, 0.22689280275926285, 0.24434609527920614, 0.2617993877991494, 0.2792526803190927, 0.29670597283903605, 0.3141592653589793, 0.33161255787892263, 0.3490658503988659, 0.4363323129985824, 0.5235987755982988, 0.6108652381980153, 0.6981317007977318, 0.7853981633974483, 0.8726646259971647, 0.9599310885968813, 1.0471975511965976, 1.1344640137963142, 1.2217304763960306, 1.3089969389957472, 1.3962634015954636, 1.4835298641951802, 1.5707963267948966, 1.6580627893946132, 1.7453292519943295, 1.8325957145940461, 1.9198621771937625, 2.007128639793479, 2.0943951023931953, 2.181661564992912, 2.2689280275926285, 2.356194490192345, 2.443460952792061, 2.530727415391778, 2.617993877991494, 2.705260340591211, 2.792526803190927, 2.817460078219418, 2.842393353247908, 2.8673266282763983, 2.892259903304889, 2.9171931783333793, 2.94212645336187, 2.9670597283903604, 2.9919930034188504, 3.016926278447341, 3.0418595534758315, 3.066792828504322, 3.091726103532812, 3.1166593785613026, 3.141592653589793]
+        #         values: [0.0, 0.05714285714285779, 0.11428571428571445, 0.1714285714285711, 0.2285714285714289, 0.28571428571428553, 0.34285714285714336, 0.4, 0.45767033402810714, 0.5153406680562154, 0.5730110020843237, 0.6306813361124307, 0.688351670140539, 0.746022004168645, 0.8036923381967532, 0.6796976456637225, 0.5557029531306916, 0.5193502611298708, 0.4829975691290501, 0.4760783244082035, 0.46915907968735693, 0.4735128399117143, 0.47786660013607163, 0.484413412818261, 0.4909602255004504, 0.4939096857477477, 0.496859145995045, 0.492456720632148, 0.48805429526925104, 0.47008909864332354, 0.45212390201739605, 0.42873584119397334, 0.40534778037055064, 0.3801401976044626, 0.35493261483837457, 0.3310328593768793, 0.30713310391538406, 0.2859646684481726, 0.2647962329809611, 0.24289899400510417, 0.22100175502924727, 0.1733080862454574, 0.12561441746166765, 0.11003808353885607, 0.09446174961604444, 0.07888541569323289, 0.06330908177042127, 0.04773274784760967, 0.03215641392479805, 0.01658008000198649, 0.0010037460791748748, -0.015655237488508437, -0.03556216999080672, -0.05546910249310506, -0.07537603499540341, -0.1151899, -0.1184961, -0.1215991, -0.1242662, -0.1266444, -0.1284379, -0.1291934, -0.1315117, -0.1310364, -0.1313168, -0.1321431, -0.1329269, -0.1334213, -0.1336997, -0.1335626, -0.1331349, -0.132233, -0.1306613, -0.1287128, -0.1252269, -0.1206634, -0.1151703, -0.1096371, -0.1051931, -0.1309094338119464, -0.19623346681308768, -0.2615574998142289, -0.28511013992304035, -0.30866278003185177, -0.3262242353976588, -0.3437856907634659, -0.36178273855434806, -0.37977978634523024, -0.39883242786434764, -0.41788506938346504, -0.4366890255205034, -0.4554929816575418, -0.4717736384633964, -0.48805429526925104, -0.492456720632148, -0.496859145995045, -0.4939096857477477, -0.4909602255004504, -0.484413412818261, -0.47786660013607163, -0.4735128399117143, -0.46915907968735693, -0.4760783244082035, -0.4829975691290501, -0.5193502611298709, -0.5557029531306915, -0.6796976456637223, -0.8036923381967529, -0.7603077184543592, -0.7169230987119662, -0.6735384789695733, -0.6301538592271805, -0.5867692394847867, -0.5433846197423929, -0.5, -0.42857142857142916, -0.35714285714285693, -0.28571428571428614, -0.21428571428571386, -0.14285714285714302, -0.07142857142857223, 0.0]
+        #     configuration: 'CFD polar data from the ham2d solver from University of Maryland at Re: 12.0M for a 70% transition / 30% turbulent blend. More details available at https://doi.org/10.5194/wes-2021-23'
+        #     re: 12000000.0
+materials:
+   -  {name: Gelcoat, orth: 0.0, rho: 1235.0, E: 3440000000.0, G: 1323000000.0, nu: 0.3, alpha: 0.0, Xt: 0, Xc: 0, S: 0, GIc: 0, GIIc: 0, alp0: 53.0, ply_t: 0.0005, waste: 0.25, unit_cost: 7.23, component_id: 0}
+   -  {name: Adhesive, orth: 0.0, rho: 1100.0, E: 4560000.0, G: 1450000.0, nu: 0.3, alpha: 0.0, Xt: 61510000.0, Xc: 65360000.0, S: 36610000.0, GIc: 0.0, GIIc: 0.0, alp0: 0.0, ply_t: 0.001, waste: 0.25, unit_cost: 7.23}
+   -  name: glass_uni
+      description: Vectorply E-LT-5500, Epikote MGS RIMR 135/Epicure MGS RIMH 1366 epoxy
+      source: MSU composites database 3D property tests
+      orth: 1.0
+      rho: 1940.0
+      E: [43700000000.0, 16500000000.0, 15450000000.0]
+      G: [3265000000.0, 3495000000.0, 3480000000.0]
+      nu: [0.262, 0.264, 0.35]
+      Xt: [640230000.0, 38100000.0, 0.0]
+      Xc: [370690000.0, 82180000.0, 0]
+      S: [30170000.0, 18970000.0, 6210000.0]
+      m: 10
+      GIc: 61.0
+      GIIc: 101.0
+      alp0: 50.0
+      fvf: 0.57
+      fwf: 0.7450682696347697
+      ply_t: 0.005
+      unit_cost: 1.87
+      waste: 0.05
+      fiber_density: 2535.5
+      area_density_dry: 7.227162215457267
+      component_id: 5
+   -  name: carbon_uni_industry_baseline
+      description: Baseline industry CFRP tested by Sandia National Labs within the BAR Project
+      source: https://energy.sandia.gov/download/45350/, RVE analysis
+      orth: 1.0
+      rho: 1600.0
+      E: [157599000000.0, 9100000000.0, 9100000000.0]
+      G: [4131000000.0, 4131000000.0, 2689000000.0]
+      nu: [0.3133, 0.3133, 0.47066]
+      Xt: [1285200000.0, 38100000.0, 0.0]
+      Xc: [878210000.0, 82180000.0, 0.0]
+      S: [30170000.0, 18970000.0, 6210000.0]
+      m: 16.1
+      GIc: 0.0
+      GIIc: 0.0
+      alp0: 0.0
+      fvf: 0.6923076923076923
+      fwf: 0.7788461538461539
+      ply_t: 0.005
+      unit_cost: 20.08
+      waste: 0.05
+      fiber_density: 1800.0
+      area_density_dry: 6.230769230769231
+      component_id: 4
+   -  name: glass_biax
+      description: Vectorply E-LT-5500, Epikote MGS RIMR 135/Epicure MGS RIMH 1366 epoxy
+      source: Vectorply E-LT-5500, Hybrid Rule of Mixtures
+      orth: 1.0
+      rho: 1940.0
+      E: [11023100000.0, 11023100000.0, 16047700000.0]
+      G: [13231400000.0, 3487480000.0, 3487480000.0]
+      nu: [0.688074, 0.117173, 0.117173]
+      Xt: [46210000.0, 46210000.0, 46210000.0]
+      Xc: [70690000.0, 70690000.0, 70690000.0]
+      S: [124460000.0, 18970000.0, 6210000.0]
+      m: 10
+      GIc: 41.0
+      GIIc: 170.0
+      alp0: 45.0
+      fvf: 0.57
+      fwf: 0.7450682696347697
+      ply_t: 0.001
+      waste: 0.15
+      unit_cost: 3.0
+      fiber_density: 2535.5
+      area_density_dry: 1.4454324430914534
+      component_id: 3
+      roll_mass: 181.4368
+   -  name: glass_triax
+      description: Vectorply E-LT-5500, Epikote MGS RIMR 135/Epicure MGS RIMH 1366 epoxy
+      source: Vectorply E-LT-5500, Hybrid Rule of Mixtures
+      orth: 1.0
+      rho: 1940.0
+      E: [28211400000.0, 16238800000.0, 15835500000.0]
+      G: [8248220000.0, 3491240000.0, 3491240000.0]
+      nu: [0.497511, 0.18091, 0.27481]
+      Xt: [435630000.0, 76440000.0, 0]
+      Xc: [343100000.0, 174710000.0, 0]
+      S: [85060000.0, 18970000.0, 6210000.0]
+      m: 10
+      GIc: 41.0
+      GIIc: 170.0
+      alp0: 45.0
+      fvf: 0.57
+      fwf: 0.7450682696347697
+      ply_t: 0.001
+      unit_cost: 2.86
+      waste: 0.15
+      fiber_density: 2535.5
+      area_density_dry: 1.4454324430914534
+      component_id: 2
+      roll_mass: 181.4368
+   -  {name: medium_density_foam, description: "Airex C70.130 PVC Foam, source 'https://www.3accorematerials.com/uploads/documents/TDS-AIREX-C70-E_1106.pdf'", orth: 0.0, rho: 130.0, E: 142500000.0, G: 54000000000.0, nu: 0.3194, Xt: 2083000.0, Xc: 1563000.0, S: 1250000.0, GIc: 303.0, GIIc: 3446.0, alp0: 53.0, component_id: 1, waste: 0.2, unit_cost: 13.0}
+   -  {name: resin, description: epoxy, E: 1000000.0, nu: 0.3, G: 312500.0, GIc: 0.0, GIIc: 0.0, alp0: 0.0, Xt: 0.0, Xc: 0.0, S: 0.0, rho: 1150.0, alpha: 0.0, orth: 0.0, unit_cost: 3.63}
+   -  {name: steel, description: Steel of the tower and monopile ASTM A572 Grade 50, source: "'http://www.matweb.com/search/DataSheet.aspx?MatGUID=9ced5dc901c54bd1aef19403d0385d7f'", orth: 0, rho: 7800, alpha: 0.0, E: 200000000000.0, nu: 0.3, G: 79300000000.0, GIc: 0, GIIc: 0, alp0: 0, Xt: 450000000.0, Xc: 450000000.0, S: 0, Xy: 345000000.0, m: 3, unit_cost: 0.7}
+control:
+    supervisory: {Vin: 4.0, Vout: 25.0, maxTS: 85.0, rated_power: 5000000.0, minOmega: 0.0, maxOmega: 0.9927432785343746}
+    pitch: {PC_zeta: 1.1, PC_omega: 0.2, ps_percent: 0.8, max_pitch: 1.57, max_pitch_rate: 0.03488888888888889, min_pitch: 0.0}
+    torque: {control_type: tsr_tracking, tsr: 10.5, VS_zeta: 0.5, VS_omega: 0.1, max_torque_rate: 4500000.0, VS_minspd: 0.0, VS_maxspd: 2.0}
+    setpoint_smooth: {ss_vsgain: 1, ss_pcgain: 0.001}
+    shutdown: {limit_type: gen_speed, limit_value: 2.0}
+environment: {air_density: 1.225, air_dyn_viscosity: 1.81e-05, weib_shape_parameter: 2.0, air_speed_sound: 340.0, shear_exp: 0.2, water_density: 1025.0, water_dyn_viscosity: 0.0013351, soil_shear_modulus: 140000000.0, soil_poisson: 0.4, gravity: 9.80665, air_pressure: 103500.0, air_vapor_pressure: 1700.0, water_depth: 0.0, V_mean: 0.0}
+bos: {plant_turbine_spacing: 7, plant_row_spacing: 7, commissioning_pct: 0.01, decommissioning_pct: 0.15, distance_to_substation: 50.0, distance_to_interconnection: 8.0, interconnect_voltage: 130, distance_to_landfall: 100, distance_to_site: 100, port_cost_per_month: 2000000.0, site_auction_price: 0.0, site_assessment_plan_cost: 0.0, site_assessment_cost: 0.0, construction_operations_plan_cost: 0.0, boem_review_cost: 0.0, design_install_plan_cost: 0.0}
+costs: {wake_loss_factor: 0.15, fixed_charge_rate: 0.065, bos_per_kW: 446.0, opex_per_kW: 43.0, turbine_number: 120, labor_rate: 58.8, painting_rate: 30.0, blade_mass_cost_coeff: 14.6, hub_mass_cost_coeff: 3.9, pitch_system_mass_cost_coeff: 22.1, spinner_mass_cost_coeff: 11.1, lss_mass_cost_coeff: 11.9, bearing_mass_cost_coeff: 4.5, gearbox_mass_cost_coeff: 12.9, hss_mass_cost_coeff: 6.8, generator_mass_cost_coeff: 12.4, bedplate_mass_cost_coeff: 2.9, yaw_mass_cost_coeff: 8.3, converter_mass_cost_coeff: 18.8, transformer_mass_cost_coeff: 18.8, hvac_mass_cost_coeff: 124.0, cover_mass_cost_coeff: 5.7, elec_connec_machine_rating_cost_coeff: 41.85, platforms_mass_cost_coeff: 17.1, tower_mass_cost_coeff: 2.9, controls_machine_rating_cost_coeff: 21.15, crane_cost: 12000.0}
diff --git a/examples/07_te_flaps/dac_driver.py b/examples/07_te_flaps/dac_driver.py
index c444d14ef..ced9d8abf 100644
--- a/examples/07_te_flaps/dac_driver.py
+++ b/examples/07_te_flaps/dac_driver.py
@@ -4,7 +4,7 @@
 
 ## File management
 run_dir                = os.path.dirname( os.path.realpath(__file__) ) + os.sep
-fname_wt_input         = run_dir + "BAR10.yaml"
+fname_wt_input         = run_dir + "BAR_USC_flaps.yaml"
 fname_modeling_options = run_dir + "modeling_options.yaml"
 fname_analysis_options = run_dir + "analysis_options.yaml"
 
diff --git a/examples/07_te_flaps/modeling_options.yaml b/examples/07_te_flaps/modeling_options.yaml
index f01b37414..63c175a49 100644
--- a/examples/07_te_flaps/modeling_options.yaml
+++ b/examples/07_te_flaps/modeling_options.yaml
@@ -7,27 +7,39 @@ General:
 WISDEM:
     RotorSE:
         flag: True
+        n_pitch_perf_surfaces: 20
+        n_tsr_perf_surfaces: 20
         spar_cap_ss: Spar_cap_ss
         spar_cap_ps: Spar_cap_ps
-        te_ss: TE_reinforcement_SS
-        te_ps: TE_reinforcement_PS
-        regulation_reg_III: True
+        te_ss: TE_reinf_ss
+        te_ps: TE_reinf_ps
+        AFTabMod: 3
     TowerSE:
         flag: True
     DriveSE:
         flag: True
     FloatingSE:
-        flag: True
+        flag: False
     BOS:
-        flag: True
+        flag: False
 
 Level3: # Options for WEIS fidelity level 3 = nonlinear time domain
     flag: True
+    from_openfast: False
     simulation:
-        DT: 0.01
-        SttsTime: 100.
+        DT: 0.0125
+        CompElast: 1
+        CompInflow: 1
+        CompAero: 2
+        CompServo: 1
+        CompHydro: 0
+        CompSub: 0
+        CompMooring: 0
+        CompIce: 0
+        OutFileFmt: 3
+    linearization:
+        Linearize: False
     ElastoDyn:
-        flag: True
         FlapDOF1: True
         FlapDOF2: True
         EdgeDOF: True
@@ -45,21 +57,44 @@ Level3: # Options for WEIS fidelity level 3 = nonlinear time domain
         PtfmRDOF : False
         PtfmPDOF : False
         PtfmYDOF : False
+    
+    ServoDyn:
+        Ptch_Cntrl: 1
+    
+    xfoil:
+        path: /Users/nabbas/Documents/WindEnergyToolbox/Xfoil/bin/xfoil
+
 ROSCO:
+    flag: False
     SD_Mode: 0
-    Flp_Mode: 2
-    zeta_vs: 1.0
-    
+    PS_Mode: 1
+    ps_percent: 0.85
+    F_LPFType: 2
+    F_NotchType: 0
+    Fl_Mode: 0 
+    Flp_Mode: 2 
+    zeta_flp: 0.7 
+    omega_flp: 2.63
+    zeta_pc: [1.2]
+    omega_pc: [0.1]
+    U_pc: [12]
+    zeta_vs: 0.5                     # Torque controller desired damping ratio [-]
+    omega_vs: 0.1  
+    IPC_ControlMode: 0
+    IPC_Kp1p: 1.4788252060327009e-08
+    IPC_Ki1p: 1.7335658014571253e-09
+    Bld_FlpDamp: 0.59696
+
 DLC_driver:
     DLCs:
         - DLC: "1.1"
-          ws_bin_size: 5
+          wind_speed: [12]
           n_seeds: 1
+          analysis_time: 10.
+          transient_time: 0.
           turbulent_wind:
               HubHt: 140
-              GridHeight: 240
-              GridWidth: 240
+              GridHeight: 220
+              GridWidth: 220
+            #   AnalysisTime: 5.
 
-xfoil:
-    path       : /Users/pbortolo/work/1_wisdem/Xfoil/bin/xfoil # Path to xfoil executable. Only used for blades with distributed aerodynamic control devices 
-    run_parallel: False
diff --git a/weis/aeroelasticse/openmdao_openfast.py b/weis/aeroelasticse/openmdao_openfast.py
index 9f7c1e940..9509eec5c 100644
--- a/weis/aeroelasticse/openmdao_openfast.py
+++ b/weis/aeroelasticse/openmdao_openfast.py
@@ -33,8 +33,6 @@
 from weis.aeroelasticse.StC_defaults        import default_StC_vt
 from weis.aeroelasticse.CaseGen_General import case_naming
 
-
-
 weis_dir = os.path.dirname(os.path.dirname(os.path.dirname(__file__)))
 
 import pickle
@@ -466,7 +464,9 @@ def setup(self):
         self.add_output('hub_Mxyz', val=np.zeros(3), units='kN*m', desc = 'Maximum hub moments in the non rotating frame')
 
         self.add_output('max_TwrBsMyt',val=0.0, units='kN*m', desc='maximum of tower base bending moment in fore-aft direction')
+        self.add_output('max_TwrBsMyt_ratio',val=0.0,  desc='ratio of maximum of tower base bending moment in fore-aft direction to maximum allowable bending moment')
         self.add_output('DEL_TwrBsMyt',val=0.0, units='kN*m', desc='damage equivalent load of tower base bending moment in fore-aft direction')
+        self.add_output('DEL_TwrBsMyt_ratio',val=0.0, desc='ratio of damage equivalent load of tower base bending moment in fore-aft direction to maximum allowable bending moment')
         
         # Tower outputs
         if not self.options['modeling_options']['Level3']['from_openfast']:
@@ -866,6 +866,13 @@ def update_FAST_model(self, fst_vt, inputs, discrete_inputs):
         fst_vt['ServoDyn']['PitManRat(3)'] = float(inputs['max_pitch_rate'])
         
 
+        # Update ServoDyn
+        fst_vt['ServoDyn']['GenEff']       = float(inputs['generator_efficiency']/inputs['gearbox_efficiency']) * 100.
+        fst_vt['ServoDyn']['PitManRat(1)'] = float(inputs['max_pitch_rate'])
+        fst_vt['ServoDyn']['PitManRat(2)'] = float(inputs['max_pitch_rate'])
+        fst_vt['ServoDyn']['PitManRat(3)'] = float(inputs['max_pitch_rate'])
+        
+
         # Masses and inertias from DriveSE
         fst_vt['ElastoDyn']['HubMass']   = inputs['hub_system_mass'][0]
         fst_vt['ElastoDyn']['HubIner']   = inputs['hub_system_I'][0]
@@ -2075,6 +2082,10 @@ def post_process(self, summary_stats, extreme_table, DELs, damage, case_list, dl
             if any(summary_stats['openfast_failed']['mean'] > 0):
                 outputs['openfast_failed'] = 2
 
+        # # Did any OpenFAST runs fail?
+        # if any(summary_stats['openfast_failed']['mean'] > 0):
+        #     outputs['openfast_failed'] = 2
+
         # Save Data
         if modopt['General']['openfast_configuration']['save_timeseries']:
             self.save_timeseries(chan_time)
@@ -2096,37 +2107,33 @@ def get_blade_loading(self, sum_stats, extreme_table, inputs, discrete_inputs, o
         extreme_table : dict
         """
 
-        # Determine blade with the maximum deflection magnitude
+        # Determine maximum deflection magnitudes
         if self.n_blades == 2:
             defl_mag = [max(sum_stats['TipDxc1']['max']), max(sum_stats['TipDxc2']['max'])]
         else:
             defl_mag = [max(sum_stats['TipDxc1']['max']), max(sum_stats['TipDxc2']['max']), max(sum_stats['TipDxc3']['max'])]
+        # Get the maximum out of plane blade deflection
+        outputs["max_TipDxc"] = np.max(defl_mag)
+
+        # Return moments around x and y and axial force along blade span at instance of largest flapwise bending moment at each node
+        My_chans = ["RootMyb", "Spn1MLyb", "Spn2MLyb", "Spn3MLyb", "Spn4MLyb", "Spn5MLyb", "Spn6MLyb", "Spn7MLyb", "Spn8MLyb", "Spn9MLyb"]
+        Mx_chans = ["RootMxb", "Spn1MLxb", "Spn2MLxb", "Spn3MLxb", "Spn4MLxb", "Spn5MLxb", "Spn6MLxb", "Spn7MLxb", "Spn8MLxb", "Spn9MLxb"]
+        Fz_chans = ["RootFzb", "Spn1FLzb", "Spn2FLzb", "Spn3FLzb", "Spn4FLzb", "Spn5FLzb", "Spn6FLzb", "Spn7FLzb", "Spn8FLzb", "Spn9FLzb"]
+            
+        Fz = []
+        Mx = []
+        My = []
+        for My_chan,Mx_chan,Fz_chan in zip(My_chans, Mx_chans, Fz_chans):
+            if self.n_blades == 2:
+                bld_idx_max = np.argmax([max(sum_stats[My_chan+'1']['max']), max(sum_stats[My_chan+'2']['max'])])
+            else:
+                bld_idx_max = np.argmax([max(sum_stats[My_chan+'1']['max']), max(sum_stats[My_chan+'2']['max']), max(sum_stats[My_chan+'3']['max'])])
+            My_max_chan = My_chan + str(bld_idx_max+1)
+            My.append(extreme_table[My_max_chan][np.argmax(sum_stats[My_max_chan]['max'])][My_chan+str(bld_idx_max+1)])
+            Mx.append(extreme_table[My_max_chan][np.argmax(sum_stats[My_max_chan]['max'])][Mx_chan+str(bld_idx_max+1)])
+            Fz.append(extreme_table[My_max_chan][np.argmax(sum_stats[My_max_chan]['max'])][Fz_chan+str(bld_idx_max+1)])
 
-        # Select channels for the blade identified above
-        if np.argmax(defl_mag) == 0:
-            blade_chans_Fz = ["RootFzb1", "Spn1FLzb1", "Spn2FLzb1", "Spn3FLzb1", "Spn4FLzb1", "Spn5FLzb1", "Spn6FLzb1", "Spn7FLzb1", "Spn8FLzb1", "Spn9FLzb1"]
-            blade_chans_Mx = ["RootMxb1", "Spn1MLxb1", "Spn2MLxb1", "Spn3MLxb1", "Spn4MLxb1", "Spn5MLxb1", "Spn6MLxb1", "Spn7MLxb1", "Spn8MLxb1", "Spn9MLxb1"]
-            blade_chans_My = ["RootMyb1", "Spn1MLyb1", "Spn2MLyb1", "Spn3MLyb1", "Spn4MLyb1", "Spn5MLyb1", "Spn6MLyb1", "Spn7MLyb1", "Spn8MLyb1", "Spn9MLyb1"]
-            tip_max_chan   = "TipDxc1"
-
-        if np.argmax(defl_mag) == 1:
-            blade_chans_Fz = ["RootFzb2", "Spn1FLzb2", "Spn2FLzb2", "Spn3FLzb2", "Spn4FLzb2", "Spn5FLzb2", "Spn6FLzb2", "Spn7FLzb2", "Spn8FLzb2", "Spn9FLzb2"]
-            blade_chans_Mx = ["RootMxb2", "Spn1MLxb2", "Spn2MLxb2", "Spn3MLxb2", "Spn4MLxb2", "Spn5MLxb2", "Spn6MLxb2", "Spn7MLxb2", "Spn8MLxb2", "Spn9MLxb2"]
-            blade_chans_My = ["RootMyb2", "Spn1MLyb2", "Spn2MLyb2", "Spn3MLyb2", "Spn4MLyb2", "Spn5MLyb2", "Spn6MLyb2", "Spn7MLyb2", "Spn8MLyb2", "Spn9MLyb2"]
-            tip_max_chan   = "TipDxc2"
-
-        if np.argmax(defl_mag) == 2:
-            blade_chans_Fz = ["RootFzb3", "Spn1FLzb3", "Spn2FLzb3", "Spn3FLzb3", "Spn4FLzb3", "Spn5FLzb3", "Spn6FLzb3", "Spn7FLzb3", "Spn8FLzb3", "Spn9FLzb3"]
-            blade_chans_Mx = ["RootMxb3", "Spn1MLxb3", "Spn2MLxb3", "Spn3MLxb3", "Spn4MLxb3", "Spn5MLxb3", "Spn6MLxb3", "Spn7MLxb3", "Spn8MLxb3", "Spn9MLxb3"]
-            blade_chans_My = ["RootMyb3", "Spn1MLyb3", "Spn2MLyb3", "Spn3MLyb3", "Spn4MLyb3", "Spn5MLyb3", "Spn6MLyb3", "Spn7MLyb3", "Spn8MLyb3", "Spn9MLyb3"]
-            tip_max_chan   = "TipDxc3"
 
-        # Get the maximum out of plane blade deflection
-        outputs["max_TipDxc"] = np.max(sum_stats[tip_max_chan]['max'])
-        # Return moments around x and y and axial force along blade span at instance of largest out of plane blade tip deflection
-        Fz = [extreme_table[tip_max_chan][np.argmax(sum_stats[tip_max_chan]['max'])][var] for var in blade_chans_Fz]
-        Mx = [extreme_table[tip_max_chan][np.argmax(sum_stats[tip_max_chan]['max'])][var] for var in blade_chans_Mx]
-        My = [extreme_table[tip_max_chan][np.argmax(sum_stats[tip_max_chan]['max'])][var] for var in blade_chans_My]
         if np.any(np.isnan(Fz)):
             print('WARNING: nans found in Fz extremes')
             Fz[np.isnan(Fz)] = 0.0
@@ -2222,6 +2229,7 @@ def get_tower_loading(self, sum_stats, extreme_table, inputs, outputs):
 
         # Get the maximum fore-aft moment at tower base
         outputs["max_TwrBsMyt"] = np.max(sum_stats[fatb_max_chan]['max'])
+        outputs["max_TwrBsMyt_ratio"] = np.max(sum_stats[fatb_max_chan]['max'])/self.options['opt_options']['constraints']['control']['Max_TwrBsMyt']['max']
         # Return forces and moments along tower height at instance of largest fore-aft tower base moment
         Fx = [extreme_table[fatb_max_chan][np.argmax(sum_stats[fatb_max_chan]['max'])][var] for var in tower_chans_Fx]
         Fy = [extreme_table[fatb_max_chan][np.argmax(sum_stats[fatb_max_chan]['max'])][var] for var in tower_chans_Fy]
@@ -2404,6 +2412,7 @@ def get_weighted_DELs(self, dlc_generator, DELs, damage, discrete_inputs, output
         # Standard DELs for blade root and tower base
         outputs['DEL_RootMyb'] = np.max([DELs[f'RootMyb{k+1}'] for k in range(self.n_blades)])
         outputs['DEL_TwrBsMyt'] = DELs['TwrBsM']
+        outputs['DEL_TwrBsMyt_ratio'] = DELs['TwrBsM']/self.options['opt_options']['constraints']['control']['DEL_TwrBsMyt']['max']
             
         # Compute total fatigue damage in spar caps at blade root and trailing edge at max chord location
         if not modopt['Level3']['from_openfast']:
diff --git a/weis/control/LinearModel.py b/weis/control/LinearModel.py
index 13ab14a16..2bf0b9ee5 100644
--- a/weis/control/LinearModel.py
+++ b/weis/control/LinearModel.py
@@ -419,8 +419,26 @@ def solve(self,disturbance,Plot=False,controller=None,reduce_states=False):
                 if k == 0:
                     continue # Skip the first run
                 
+                # populate turbine state dictionary
+                turbine_state = {}
+                if k < len(t_array):
+                    turbine_state['iStatus']    = 1
+                else:
+                    turbine_state['iStatus']    = -1
+                turbine_state['t']              = t
+                turbine_state['dt']             = dt
+                turbine_state['ws']             = u_h[k-1]
+                turbine_state['bld_pitch']      = bld_pitch[k-1]
+                turbine_state['gen_torque']     = gen_torque[k-1]
+                turbine_state['gen_speed']      = gen_speed[k-1]
+                turbine_state['gen_eff']        = 0.95  # hard code, for now
+                turbine_state['rot_speed']      = rot_speed[k-1]
+                turbine_state['Yaw_fromNorth']  = 0
+                turbine_state['Y_MeasErr']      = 0 
+                turbine_state['NacIMU_FA_Acc']  = nac_accel[k-1]
+
                 # Call the controller
-                gen_torque[k], bld_pitch[k] = controller.call_controller(t,dt,bld_pitch[k-1],gen_torque[k-1],gen_speed[k-1],0.95,rot_speed[k-1],u_h[k-1],nac_accel[k-1])
+                gen_torque[k], bld_pitch[k], _ = controller.call_controller(turbine_state)
 
                 # Set inputs:
                 # Wind
diff --git a/weis/control/dac.py b/weis/control/dac.py
index a8b00da9b..629bd9eab 100644
--- a/weis/control/dac.py
+++ b/weis/control/dac.py
@@ -3,7 +3,7 @@
 import copy
 from openmdao.api import ExplicitComponent
 from wisdem.ccblade.ccblade import CCAirfoil, CCBlade
-from wisdem.ccblade.Polar import Polar
+from wisdem.ccblade.Polar import Polar, _find_alpha0, _find_slope, _alpha_window_in_bounds
 import csv  # for exporting airfoil polar tables
 import matplotlib.pyplot as plt
 import time
@@ -16,7 +16,7 @@ def runXfoil(xfoil_path, x, y, Re, AoA_min=-9, AoA_max=25, AoA_inc=0.5, Ma=0.0,
     #This function is used to create and run xfoil simulations for a given set of airfoil coordinates
 
     # Set initial parameters needed in xfoil
-    numNodes   = 310 # number of panels to use (260...but increases if needed)
+    numNodes   = 260 # number of panels to use (260...but increases if needed)
     #dist_param = 0.15 # TE/LE panel density ratio (0.15)
     dist_param = 0.12 #This is current value that i am trying to help with convergence (!bem)
     #IterLimit = 100 # Maximum number of iterations to try and get to convergence
@@ -148,9 +148,29 @@ def runXfoil(xfoil_path, x, y, Re, AoA_min=-9, AoA_max=25, AoA_inc=0.5, Ma=0.0,
         except:
             flap_polar = []  # in case no convergence was achieved
 
+        # Check for linear region
+        try:
+            window = _alpha_window_in_bounds(flap_polar[:,0],[-30, 30])
+            alpha0 = _find_alpha0(np.array(flap_polar[:,0]), np.array(flap_polar[:,1]), window)
+            window2 = [alpha0, alpha0+4]
+            window2 = _alpha_window_in_bounds(flap_polar[:,0], [alpha0, alpha0 + 4])
+            # Max and Safety checks
+            s1, _ = _find_slope(flap_polar[:,0], flap_polar[:,1], xi=alpha0, window=window2, method="max")
+            if len(flap_polar[:,1]) > 10:
+                s2, _ = _find_slope(flap_polar[:,0], flap_polar[:,1], xi=alpha0, window=window2, method="finitediff_1c")
+            lin_region_len = len(np.where(flap_polar[:,0] < alpha0)[0])
+            lin_region_len_idx = np.where(flap_polar[:,0] < alpha0)[0][-1]
+            if lin_region_len_idx < 1:
+                lin_region_len = 0 
+                raise IndexError('Invalid index for linear region.')
+        except (IndexError, TypeError):
+            lin_region_len = 0
+            
+        if lin_region_len < 1:
+            print('Error: No linear region detected for XFOIL run on p{}'.format(pid))
 
         # Error handling (re-run simulations with more panels if there is not enough data in polars)
-        if np.size(flap_polar) < 3: # This case is if there are convergence issues at the lowest angles of attack
+        if np.size(flap_polar) < 3 or lin_region_len < 1: # This case is if there are convergence issues or bad angles of attack
             plen = 0
             a0 = 0
             a1 = 0
@@ -174,7 +194,7 @@ def runXfoil(xfoil_path, x, y, Re, AoA_min=-9, AoA_max=25, AoA_inc=0.5, Ma=0.0,
             # AoA_min = -9
             # AoA_max = 25
             # if numNodes > 480:
-            if runNum > 6:
+            if runNum > 10:
                 # Warning('NO convergence in XFoil achieved!')
                 print('No convergence in XFOIL achieved on p{}!'.format(pid))
                 if not os.path.exists('xfoil_errorfiles'):
@@ -248,7 +268,7 @@ def setup(self):
         except KeyError:
             self.cores = 1
         
-        if MPI and self.options['modeling_options']['Level3']['flag'] and self.options['opt_options']['driver']['optimization']['flag']:
+        if MPI and self.options['modeling_options']['Level3']['flag'] and not self.options['opt_options']['driver']['optimization']['flag']:
             self.mpi_comm_map_down = self.options['modeling_options']['General']['openfast_configuration']['mpi_comm_map_down']
 
         # Inputs blade outer shape
@@ -298,12 +318,23 @@ def compute(self, inputs, outputs):
 
         # If trailing edge flaps are present, compute the perturbed profiles with XFOIL
         self.flap_profiles = [{} for i in range(self.n_span)]
-        outputs['span_start'] = inputs['span_end'] - inputs['span_ext']
         if self.n_te_flaps > 0:
             try:
                 from scipy.ndimage import gaussian_filter
             except:
                 print('Cannot import the library gaussian_filter from scipy. Please check the conda environment and potential conflicts between numpy and scipy')
+            
+            # Make sure flaps are viable
+            if inputs['span_end'] > 1.0:
+                print('WARNING: TE Flap end is off the blade! Moving it to the end of the blade.')
+            if self.options['opt_options']['design_variables']['control']['flaps']['te_flap_end']['flag']: 
+                np.clip(inputs['span_end'], 
+                        self.options['opt_options']['design_variables']['control']['flaps']['te_flap_end']['min'], 
+                        self.options['opt_options']['design_variables']['control']['flaps']['te_flap_end']['max']
+                        )
+
+            outputs['span_start'] = inputs['span_end'] - inputs['span_ext']
+
             xfoil_kw = {}
             if MPI:
                 xfoil_kw['MPI_run'] = True
@@ -337,6 +368,13 @@ def compute(self, inputs, outputs):
                             self.flap_profiles[i]['flap_angles'].append([])
                             self.flap_profiles[i]['flap_angles'][ind] = fa # Putting in flap angles to blade for each profile (can be used for debugging later)
 
+
+                        if False:
+                            import pickle
+                            f = open('flap_profiles.pkl', 'wb')
+                            pickle.dump(self.flap_profiles, f)
+                            f.close()
+                            
                         # # ** The code below will plot the first three flap deflection profiles (in the case where there are only 3 this will correspond to max negative, zero, and max positive deflection cases)
                         # font = {'family': 'Times New Roman',
                         #         'weight': 'normal',
@@ -772,7 +810,14 @@ def get_flap_polars(run_xfoil_params, afi):
             data = runXfoil(xfoil_path, flap_profiles[afi]['coords'][:, 0, ind],flap_profiles[afi]['coords'][:, 1, ind],Re_loc_af[0, ind], **xfoil_kw)
 
             oldpolar= Polar(Re_loc_af[0,ind], data[:,0],data[:,1],data[:,2],data[:,4]) # data[:,0] is alpha, data[:,1] is Cl, data[:,2] is Cd, data[:,4] is Cm
-            polar3d = oldpolar.correction3D(rR,cr,run_xfoil_params['tsr']) # Apply 3D corrections (made sure to change the r/R, c/r, and tsr values appropriately when calling AFcorrections())
+            try:
+                polar3d = oldpolar.correction3D(rR,cr,run_xfoil_params['tsr']) # Apply 3D corrections (made sure to change the r/R, c/r, and tsr values appropriately when calling AFcorrections())
+            except IndexError:
+                for key in run_xfoil_params:
+                    print('{} = {}'.format(key, run_xfoil_params[key]))
+                print('XFOIL DATA: {}'.format(data))
+                raise
+
             cdmax   = np.max(data[:,2]) # Keep the same max Cd as before
             polar   = polar3d.extrapolate(cdmax) # Extrapolate polars for alpha between -180 deg and 180 deg
 
diff --git a/weis/control/tune_rosco.py b/weis/control/tune_rosco.py
index e2088d375..23187b3e0 100644
--- a/weis/control/tune_rosco.py
+++ b/weis/control/tune_rosco.py
@@ -172,16 +172,17 @@ def setup(self):
         self.add_input('zeta_vs',           val=0.0,                                            desc='Generator torque controller damping ratio')
         self.add_input('omega_vs',          val=0.0,        units='rad/s',                      desc='Generator torque controller natural frequency')
         if rosco_init_options['Flp_Mode'] > 0:
-            self.add_input('Flp_omega',        val=0.0, units='rad/s',                         desc='Flap controller natural frequency')
-            self.add_input('Flp_zeta',         val=0.0,                                        desc='Flap controller damping ratio')
-        self.add_input('IPC_Ki1p',          val=0.0,            units='rad/(N*m)',  desc='Individual pitch controller 1p gain')
+            self.add_input('flp_kp_norm',   val=0.0,                                    desc='Flap controller normalized gain')
+            self.add_input('flp_tau',       val=0.0,            units='s',              desc='Flap controller integral gain time constant')
+        self.add_input('IPC_Kp1p',          val=0.0,            units='s',              desc='Individual pitch controller 1p proportional gain')
+        self.add_input('IPC_Ki1p',          val=0.0,                                    desc='Individual pitch controller 1p integral gain')
         # Outputs for constraints and optimizations
-        self.add_output('flptune_coeff1',   val=0.0,            units='rad/s',        desc='First coefficient in denominator of flap controller tuning model')
-        self.add_output('flptune_coeff2',   val=0.0,            units='(rad/s)**2',        desc='Second coefficient in denominator of flap controller tuning model')
-        self.add_output('PC_Kp',            val=0.0,            units='rad',        desc='Pitch control proportional gain at first pitch angle in schedule')
-        self.add_output('PC_Ki',            val=0.0,            units='rad',        desc='Pitch control integral gain at first pitch angle in schedule')
-        self.add_output('Flp_Kp',           val=0.0,            units='rad',        desc='Flap control proportional gain')
-        self.add_output('Flp_Ki',           val=0.0,            units='rad',        desc='Flap control integral gain')
+        self.add_output('flptune_coeff1',   val=0.0,            units='rad/s',          desc='First coefficient in denominator of flap controller tuning model')
+        self.add_output('flptune_coeff2',   val=0.0,            units='(rad/s)**2',     desc='Second coefficient in denominator of flap controller tuning model')
+        self.add_output('PC_Kp',            val=0.0,            units='rad',            desc='Pitch control proportional gain at first pitch angle in schedule')
+        self.add_output('PC_Ki',            val=0.0,            units='rad',            desc='Pitch control integral gain at first pitch angle in schedule')
+        self.add_output('Flp_Kp',           val=0.0,            units='rad',            desc='Flap control proportional gain')
+        self.add_output('Flp_Ki',           val=0.0,            units='rad',            desc='Flap control integral gain')
 
         self.add_output('PC_GS_angles',     val=np.zeros(rosco_init_options['PC_GS_n']), units='rad', desc='Gain-schedule table: pitch angles')
         self.add_output('PC_GS_Kp',         val=np.zeros(rosco_init_options['PC_GS_n']), units='s',   desc='Gain-schedule table: pitch controller kp gains')
@@ -201,18 +202,22 @@ def compute(self,inputs,outputs, discrete_inputs, discrete_outputs):
         rosco_init_options['omega_vs']    = float(inputs['omega_vs'])
         rosco_init_options['zeta_vs']     = float(inputs['zeta_vs'])
         if rosco_init_options['Flp_Mode'] > 0:
-            rosco_init_options['omega_flp'] = inputs['Flp_omega']
-            rosco_init_options['zeta_flp']  = inputs['Flp_zeta']
+            rosco_init_options['flp_kp_norm'] = float(inputs['flp_kp_norm'])
+            rosco_init_options['flp_tau']  = float(inputs['flp_tau'])
         else:
             rosco_init_options['omega_flp'] = 0.0
             rosco_init_options['zeta_flp']  = 0.0
-        #
         rosco_init_options['max_pitch']   = float(inputs['max_pitch'])
         rosco_init_options['min_pitch']   = float(inputs['min_pitch'])
         rosco_init_options['vs_minspd']   = float(inputs['vs_minspd'])
         rosco_init_options['ss_vsgain']   = float(inputs['ss_vsgain'])
         rosco_init_options['ss_pcgain']   = float(inputs['ss_pcgain'])
         rosco_init_options['ps_percent']  = float(inputs['ps_percent'])
+        rosco_init_options['IPC_Kp1p']    = max(0.0, float(inputs['IPC_Kp1p']))
+        rosco_init_options['IPC_Ki1p']    = max(0.0, float(inputs['IPC_Ki1p']))
+        rosco_init_options['IPC_Kp2p']    = 0.0 # 2P optimization is not currently supported
+        rosco_init_options['IPC_Kp2p']    = 0.0
+
         if rosco_init_options['Flp_Mode'] > 0:
             rosco_init_options['flp_maxpit']  = float(inputs['delta_max_pos'])
 
@@ -304,7 +309,7 @@ def compute(self,inputs,outputs, discrete_inputs, discrete_outputs):
             WISDEM_turbine.span     = inputs['r'] 
             WISDEM_turbine.chord    = inputs['chord']
             WISDEM_turbine.twist    = inputs['theta']
-            WISDEM_turbine.bld_flapwise_freq = float(inputs['flap_freq']) * 2*np.pi
+            WISDEM_turbine.bld_flapwise_freq = float(inputs['flap_freq']) * 2*np.pi 
             WISDEM_turbine.bld_flapwise_damp = self.modeling_options['ROSCO']['Bld_FlpDamp']
 
         else: 
diff --git a/weis/glue_code/gc_LoadInputs.py b/weis/glue_code/gc_LoadInputs.py
index ebdd2fd27..45ed48e6e 100644
--- a/weis/glue_code/gc_LoadInputs.py
+++ b/weis/glue_code/gc_LoadInputs.py
@@ -219,11 +219,11 @@ def update_ontology_control(self, wt_opt):
             self.wt_init['control']['torque']['zeta_vs']  = float(wt_opt['tune_rosco_ivc.zeta_vs'])
             self.wt_init['control']['pitch']['Kp_float']  = float(wt_opt['tune_rosco_ivc.Kp_float'])
             self.wt_init['control']['pitch']['ptfm_freq']  = float(wt_opt['tune_rosco_ivc.ptfm_freq'])
+            self.wt_init['control']['IPC']['IPC_Ki_1P'] = float(wt_opt['tune_rosco_ivc.IPC_Kp1p'])
+            self.wt_init['control']['IPC']['IPC_Kp_1P'] = float(wt_opt['tune_rosco_ivc.IPC_Ki1p'])
             if self.modeling_options['ROSCO']['Flp_Mode'] > 0:
-                self.wt_init['control']['dac']['Flp_omega']= float(wt_opt['tune_rosco_ivc.Flp_omega'])
-                self.wt_init['control']['dac']['Flp_zeta'] = float(wt_opt['tune_rosco_ivc.Flp_zeta'])
-            if 'IPC' in self.wt_init['control'].keys():
-                self.wt_init['control']['IPC']['IPC_gain_1P'] = float(wt_opt['tune_rosco_ivc.IPC_Ki1p'])
+                self.wt_init['control']['dac']['flp_kp_norm']= float(wt_opt['tune_rosco_ivc.flp_kp_norm'])
+                self.wt_init['control']['dac']['flp_tau'] = float(wt_opt['tune_rosco_ivc.flp_tau'])
 
 
     def write_options(self, fname_output):
diff --git a/weis/glue_code/gc_PoseOptimization.py b/weis/glue_code/gc_PoseOptimization.py
index 19035d529..f1755d501 100644
--- a/weis/glue_code/gc_PoseOptimization.py
+++ b/weis/glue_code/gc_PoseOptimization.py
@@ -34,8 +34,10 @@ def get_number_design_variables(self):
             n_add += 1
         if self.opt['design_variables']['control']['servo']['torque_control']['zeta']['flag']:
             n_add += 1
-        if self.opt['design_variables']['control']['servo']['flap_control']['flag']:
-            n_add += 2
+        if self.opt['design_variables']['control']['servo']['flap_control']['flp_kp_norm']['flag']:
+            n_add += 1
+        if self.opt['design_variables']['control']['servo']['flap_control']['flp_tau']['flag']:
+            n_add += 1
         if self.opt['design_variables']['control']['flaps']['te_flap_end']['flag']:
             n_add += self.modeling['WISDEM']['RotorSE']['n_te_flaps']
         if self.opt['design_variables']['control']['flaps']['te_flap_ext']['flag']:
@@ -118,27 +120,32 @@ def set_design_variables(self, wt_opt, wt_init):
         if control_opt['servo']['torque_control']['zeta']['flag']:                                                    
             wt_opt.model.add_design_var('tune_rosco_ivc.zeta_vs', lower=control_opt['servo']['torque_control']['zeta']['min'], 
                                                            upper=control_opt['servo']['torque_control']['zeta_max'])
-        if control_opt['servo']['ipc_control']['flag']:
-            wt_opt.model.add_design_var('tune_rosco_ivc.IPC_Ki1p', lower=control_opt['servo']['ipc_control']['Ki_min'],
-                                                            upper=control_opt['servo']['ipc_control']['Ki_max'],
-                                                            ref=1.e-7)
+        if control_opt['servo']['ipc_control']['Kp']['flag']:
+            wt_opt.model.add_design_var('tune_rosco_ivc.IPC_Kp1p', lower=control_opt['servo']['ipc_control']['Kp']['min'],
+                                                            upper=control_opt['servo']['ipc_control']['Kp']['max'],
+                                                            ref=control_opt['servo']['ipc_control']['Kp']['ref'])
+        if control_opt['servo']['ipc_control']['Ki']['flag']:
+            wt_opt.model.add_design_var('tune_rosco_ivc.IPC_Ki1p', lower=control_opt['servo']['ipc_control']['Ki']['min'],
+                                                            upper=control_opt['servo']['ipc_control']['Ki']['max'],
+                                                            ref=control_opt['servo']['ipc_control']['Kp']['ref'])
         if control_opt['servo']['pitch_control']['stability_margin']['flag']:
             wt_opt.model.add_design_var('tune_rosco_ivc.stability_margin', lower=control_opt['servo']['pitch_control']['stability_margin']['min'],
                                                             upper=control_opt['servo']['pitch_control']['stability_margin']['max'])
         if control_opt['flaps']['te_flap_end']['flag']:
-            wt_opt.model.add_design_var('dac_ivc.te_flap_end', lower=control_opt['flaps']['te_flap_end']['min_end'],
-                                                            upper=control_opt['flaps']['te_flap_end']['max_end'])
+            wt_opt.model.add_design_var('dac_ivc.te_flap_end', lower=control_opt['flaps']['te_flap_end']['min'],
+                                                            upper=control_opt['flaps']['te_flap_end']['max'])
         if control_opt['flaps']['te_flap_ext']['flag']:
-            wt_opt.model.add_design_var('dac_ivc.te_flap_ext', lower=control_opt['flaps']['te_flap_ext']['minimum'],
-                                                            upper=control_opt['flaps']['te_flap_ext']['maximum'])
+            wt_opt.model.add_design_var('dac_ivc.te_flap_ext', lower=control_opt['flaps']['te_flap_ext']['min'],
+                                                            upper=control_opt['flaps']['te_flap_ext']['max'])
         if 'flap_control' in control_opt['servo']:
-            if control_opt['servo']['flap_control']['flag']:
-                wt_opt.model.add_design_var('tune_rosco_ivc.Flp_omega', 
-                                    lower=control_opt['servo']['flap_control']['omega_min'], 
-                                    upper=control_opt['servo']['flap_control']['omega_max'])
-                wt_opt.model.add_design_var('tune_rosco_ivc.Flp_zeta', 
-                                    lower=control_opt['servo']['flap_control']['zeta_min'], 
-                                    upper=control_opt['servo']['flap_control']['zeta_max'])
+            if control_opt['servo']['flap_control']['flp_kp_norm']['flag']:
+                wt_opt.model.add_design_var('tune_rosco_ivc.flp_kp_norm', 
+                                    lower=control_opt['servo']['flap_control']['flp_kp_norm']['min'], 
+                                    upper=control_opt['servo']['flap_control']['flp_kp_norm']['max'])
+            if control_opt['servo']['flap_control']['flp_tau']['flag']:
+                wt_opt.model.add_design_var('tune_rosco_ivc.flp_tau', 
+                                    lower=control_opt['servo']['flap_control']['flp_tau']['min'], 
+                                    upper=control_opt['servo']['flap_control']['flp_tau']['max'])
 
         if control_opt['ps_percent']['flag']:
             wt_opt.model.add_design_var('tune_rosco_ivc.ps_percent', lower=control_opt['ps_percent']['lower_bound'],
@@ -215,7 +222,7 @@ def set_constraints(self, wt_opt):
 
         if blade_constr["strains_spar_cap_ss"]["flag"]:
             # Remove generic WISDEM one
-            name = 'rs.constr.constr_max_strainU_spar'
+            name = 'rotorse.rs.constr.constr_max_strainU_spar'
             if name in wt_opt.model._responses:
                 wt_opt.model._responses.pop( name )
             if name in wt_opt.model._static_responses:
@@ -230,7 +237,7 @@ def set_constraints(self, wt_opt):
                 or blade_opt["structure"]["spar_cap_ps"]["equal_to_suction"]
             ):
                 # Remove generic WISDEM one
-                name = 'rs.constr.constr_max_strainL_spar'
+                name = 'rotorse.rs.constr.constr_max_strainL_spar'
                 if name in wt_opt.model._responses:
                     wt_opt.model._responses.pop( name )
                 if name in wt_opt.model._static_responses:
@@ -285,6 +292,16 @@ def set_constraints(self, wt_opt):
                 raise Exception('Please turn on the call to OpenFAST or RAFT if you are trying to optimize Std_PtfmPitch constraints.')
             wt_opt.model.add_constraint(f'{self.solve_component}.Std_PtfmPitch',
                 upper = control_constraints['Std_PtfmPitch']['max'])
+        if control_constraints['Max_TwrBsMyt']['flag']:
+            if self.modeling['Level3']['flag'] != True:
+                raise Exception('Please turn on the call to OpenFAST if you are trying to optimize Max_TwrBsMyt constraints.')
+            wt_opt.model.add_constraint('aeroelastic.max_TwrBsMyt_ratio', 
+                upper = 1.0)
+        if control_constraints['DEL_TwrBsMyt']['flag']:
+            if self.modeling['Level3']['flag'] != True:
+                raise Exception('Please turn on the call to OpenFAST if you are trying to optimize Max_TwrBsMyt constraints.')
+            wt_opt.model.add_constraint('aeroelastic.DEL_TwrBsMyt_ratio', 
+                upper = 1.0)
 
         # Blade pitch travel
         if control_constraints['avg_pitch_travel']['flag']:
diff --git a/weis/glue_code/gc_ROSCOInputs.py b/weis/glue_code/gc_ROSCOInputs.py
index 9089a19db..d946031a4 100644
--- a/weis/glue_code/gc_ROSCOInputs.py
+++ b/weis/glue_code/gc_ROSCOInputs.py
@@ -17,14 +17,15 @@ def assign_ROSCO_values(wt_opt, modeling_options, opt_options):
     # Flap control params
     if rosco_init_options['Flp_Mode'] > 0:
         try:
-            wt_opt['tune_rosco_ivc.Flp_omega']      = rosco_init_options['omega_flp']
-            wt_opt['tune_rosco_ivc.Flp_zeta']       = rosco_init_options['zeta_flp']
+            wt_opt['tune_rosco_ivc.flp_kp_norm']      = rosco_init_options['flp_kp_norm']
+            wt_opt['tune_rosco_ivc.flp_tau']       = rosco_init_options['flp_tau']
         except:
-            raise Exception('If Flp_Mode > 0, you must set Flp_omega, Flp_zeta in the modeling options')
+            raise Exception('If Flp_Mode > 0, you must set flp_kp_norm, flp_tau in the modeling options')
 
-    # IPC is not currently part of ROSCO schema, can be added
-    # if rosco_init_options['IPC_ControlMode']:
-    #     wt_opt['tune_rosco_ivc.IPC_KI']      = control['IPC']['IPC_gain_1P']
+    # IPC 
+    if rosco_init_options['IPC_ControlMode']:
+        wt_opt['tune_rosco_ivc.IPC_Kp1p'] = rosco_init_options['IPC_Kp1p']
+        wt_opt['tune_rosco_ivc.IPC_Ki1p'] = rosco_init_options['IPC_Ki1p']
     
     # Robust controller tuning
     if opt_options['design_variables']['control']['servo']['pitch_control']['stability_margin']['flag']:
diff --git a/weis/glue_code/gc_RunTools.py b/weis/glue_code/gc_RunTools.py
index bc4248a56..816a7132f 100644
--- a/weis/glue_code/gc_RunTools.py
+++ b/weis/glue_code/gc_RunTools.py
@@ -30,9 +30,10 @@ def setup(self):
         self.add_input('ptfm_freq',     val=0.0, units = 'rad/s')
         self.add_input('omega_vs',      val=0.0, units='rad/s')
         self.add_input('zeta_vs',       val=0.0)
-        self.add_input('Flp_omega',     val=0.0, units='rad/s')
-        self.add_input('Flp_zeta',      val=0.0)
-        self.add_input('IPC_Ki1p',      val=0.0, units='rad/(N*m)')
+        self.add_input('flp_kp_norm',   val=0.0)
+        self.add_input('flp_tau',       val=0.0, units='s')
+        self.add_input('IPC_Kp1p',      val=0.0, units='s')
+        self.add_input('IPC_Ki1p',      val=0.0,)
         self.add_input('tip_deflection',val=0.0, units='m')
         self.add_input('te_flap_end'   ,val=np.zeros(n_te_flaps))
         self.add_input('rotor_overspeed',val=0.0)
@@ -65,11 +66,13 @@ def compute(self, inputs, outputs):
                 print('Floating Feedback: Kp_float = {:2.3f}, ptfm_freq = {:2.3f}'.format(inputs['Kp_float'][0], inputs['ptfm_freq'][0]))
             
             # Flap control
-            if self.options['opt_options']['design_variables']['control']['servo']['flap_control']['flag']:
-                print('Flap PI gain inputs: flp_omega = {:2.3f}, flp_zeta = {:2.3f}'.format(inputs['Flp_omega'][0], inputs['Flp_zeta'][0]))
+            if self.options['opt_options']['design_variables']['control']['servo']['flap_control']['flp_kp_norm']['flag'] or self.options['opt_options']['design_variables']['control']['servo']['flap_control']['flp_kp_norm']['flag']:
+                print('Flap PI gain inputs: flp_kp_norm = {:2.3f}, flp_tau = {:2.3f}'.format(inputs['flp_kp_norm'][0], inputs['flp_tau'][0]))
             
             # IPC
-            if self.options['opt_options']['design_variables']['control']['servo']['ipc_control']['flag']:
+            if self.options['opt_options']['design_variables']['control']['servo']['ipc_control']['Kp']:
+                print('IPC Ki1p = {:2.3e}'.format(inputs['IPC_Kp1p'][0]))
+            if self.options['opt_options']['design_variables']['control']['servo']['ipc_control']['Ki']:
                 print('IPC Ki1p = {:2.3e}'.format(inputs['IPC_Ki1p'][0]))
            
             # Flaps
diff --git a/weis/glue_code/glue_code.py b/weis/glue_code/glue_code.py
index 3dc1988c3..d0aa8678a 100644
--- a/weis/glue_code/glue_code.py
+++ b/weis/glue_code/glue_code.py
@@ -58,9 +58,10 @@ def setup(self):
         tune_rosco_ivc.add_output('zeta_pc',          val=np.zeros(n_PC),                    desc='Pitch controller damping ratio')
         tune_rosco_ivc.add_output('omega_vs',         val=0.0, units='rad/s',     desc='Generator torque controller natural frequency')
         tune_rosco_ivc.add_output('zeta_vs',          val=0.0,                    desc='Generator torque controller damping ratio')
-        tune_rosco_ivc.add_output('Flp_omega',        val=0.0, units='rad/s',     desc='Flap controller natural frequency')
-        tune_rosco_ivc.add_output('Flp_zeta',         val=0.0,                    desc='Flap controller damping ratio')
-        tune_rosco_ivc.add_output('IPC_Ki1p',         val=0.0, units='rad/(N*m)', desc='Individual pitch controller 1p gain')
+        tune_rosco_ivc.add_output('flp_kp_norm',      val=0.0,                    desc='Flap controller normalized gain')
+        tune_rosco_ivc.add_output('flp_tau',          val=0.0, units='s',         desc='Flap controller integral gain time constant')
+        tune_rosco_ivc.add_output('IPC_Kp1p',         val=0.0, units='s',         desc='Individual pitch controller 1p proportional gain')
+        tune_rosco_ivc.add_output('IPC_Ki1p',         val=0.0,                    desc='Individual pitch controller 1p integral gain')
         tune_rosco_ivc.add_output('stability_margin', val=0.0,                    desc='Stability margin for robust tuning')
         tune_rosco_ivc.add_output('omega_pc_max',     val=0.0,                    desc='Maximum allowable omega for robust tuning')
         # optional inputs - not connected right now!!
@@ -204,6 +205,7 @@ def setup(self):
             self.connect('tune_rosco_ivc.zeta_pc',          'sse_tune.tune_rosco.zeta_pc')
             self.connect('tune_rosco_ivc.omega_vs',         'sse_tune.tune_rosco.omega_vs')
             self.connect('tune_rosco_ivc.zeta_vs',          'sse_tune.tune_rosco.zeta_vs')
+            self.connect('tune_rosco_ivc.IPC_Kp1p',         'sse_tune.tune_rosco.IPC_Kp1p')
             self.connect('tune_rosco_ivc.IPC_Ki1p',         'sse_tune.tune_rosco.IPC_Ki1p')
             self.connect('tune_rosco_ivc.stability_margin', 'sse_tune.tune_rosco.stability_margin')
             self.connect('tune_rosco_ivc.omega_pc_max', 'sse_tune.tune_rosco.omega_pc_max')
@@ -214,8 +216,8 @@ def setup(self):
             self.connect('tune_rosco_ivc.Kp_float',         'sse_tune.tune_rosco.Kp_float')
             self.connect('dac_ivc.delta_max_pos',           'sse_tune.tune_rosco.delta_max_pos')
             if modeling_options['ROSCO']['Flp_Mode'] > 0:
-                self.connect('tune_rosco_ivc.Flp_omega',    'sse_tune.tune_rosco.Flp_omega')
-                self.connect('tune_rosco_ivc.Flp_zeta',     'sse_tune.tune_rosco.Flp_zeta')
+                self.connect('tune_rosco_ivc.flp_kp_norm',    'sse_tune.tune_rosco.flp_kp_norm')
+                self.connect('tune_rosco_ivc.flp_tau',     'sse_tune.tune_rosco.flp_tau')
 
         if modeling_options['Level1']['flag']:
             self.add_subsystem('raft', RAFT_WEIS(modeling_options = modeling_options, analysis_options=opt_options))
@@ -885,8 +887,9 @@ def setup(self):
                 self.connect('tune_rosco_ivc.zeta_vs',         'outputs_2_screen_weis.zeta_vs')
                 self.connect('tune_rosco_ivc.Kp_float',        'outputs_2_screen_weis.Kp_float')
                 self.connect('tune_rosco_ivc.ptfm_freq',       'outputs_2_screen_weis.ptfm_freq')
-                self.connect('tune_rosco_ivc.Flp_omega',       'outputs_2_screen_weis.Flp_omega')
-                self.connect('tune_rosco_ivc.Flp_zeta',        'outputs_2_screen_weis.Flp_zeta')
+                self.connect('tune_rosco_ivc.flp_kp_norm',       'outputs_2_screen_weis.flp_kp_norm')
+                self.connect('tune_rosco_ivc.flp_tau',        'outputs_2_screen_weis.flp_tau')
+                self.connect('tune_rosco_ivc.IPC_Kp1p',        'outputs_2_screen_weis.IPC_Kp1p')
                 self.connect('tune_rosco_ivc.IPC_Ki1p',        'outputs_2_screen_weis.IPC_Ki1p')
                 self.connect('dac_ivc.te_flap_end',            'outputs_2_screen_weis.te_flap_end')
                 if modeling_options['OL2CL']['flag']:
diff --git a/weis/inputs/analysis_schema.yaml b/weis/inputs/analysis_schema.yaml
index 6381c5232..c9bed70b1 100644
--- a/weis/inputs/analysis_schema.yaml
+++ b/weis/inputs/analysis_schema.yaml
@@ -36,27 +36,27 @@ properties:
                                         type: boolean
                                         default: False
                                         description: Activates as a design variable or constraint
-                                    minimum:
+                                    min:
                                         type: number
                                         maximum: 1.0
                                         minimum: 0.1
-                                        default: 1.0
-                                    maximum:
+                                        default: 0.5
+                                    max:
                                         type: number
                                         maximum: 1.0
                                         minimum: 0.1
-                                        default: 1.0
+                                        default: 0.98
                             te_flap_ext:
                                 type: object
                                 default: {}
                                 properties:
                                     flag: *flag
-                                    minimum:
+                                    min:
                                         type: number
                                         maximum: 1.0
                                         minimum: 0.0
                                         default: 0.01
-                                    maximum:
+                                    max:
                                         type: number
                                         maximum: 1.0
                                         minimum: 0.0
@@ -188,36 +188,84 @@ properties:
                                 type: object
                                 default: {}
                                 properties:
-                                    flag: *flag
-                                    omega_min: &omega_min
-                                        type: number
-                                        default: 0.1
-                                        minimum: 0.0
-                                        maximum: 10.0
-                                        unit: none
-                                    omega_max: &omega_max
-                                        type: number
-                                        default: 0.7
-                                        minimum: 0.0
-                                        maximum: 10.0
-                                        unit: none
-                                    zeta_min: &zeta_min
-                                        type: number
-                                        default: 0.4
-                                        minimum: 0.0
-                                        maximum: 10.0
-                                        unit: none
-                                    zeta_max: &zeta_max
-                                        type: number
-                                        default: 1.5
-                                        minimum: 0.0
-                                        maximum: 10.0
-                                        unit: none
+                                    flp_kp_norm: 
+                                        type: object
+                                        default: {}
+                                        properties:
+                                            flag: *flag
+                                            min:
+                                                type: number
+                                                default: 0.01
+                                                minimum: 0.0
+                                                maximum: 10.0
+                                                unit: none
+                                            max: 
+                                                type: number
+                                                default: 5.0
+                                                minimum: 0.0
+                                                maximum: 10.0
+                                                unit: none
+                                    flp_tau: 
+                                        type: object
+                                        default: {}
+                                        properties:
+                                            flag: *flag
+                                            min:
+                                                type: number
+                                                default: 5
+                                                minimum: 0.0
+                                                maximum: 100.0
+                                                unit: none
+                                            max:
+                                                type: number
+                                                default: 30
+                                                minimum: 0.0
+                                                maximum: 100.0
+                                                unit: none
                             ipc_control:
                                 type: object
                                 default: {}
                                 properties:
-                                    flag: *flag
+                                    Kp: 
+                                        type: object
+                                        default: {}
+                                        properties:
+                                            flag: *flag
+                                            min:
+                                                type: number
+                                                default: 0.0
+                                                minimum: 0.0
+                                                maximum: 1.e+3
+                                                unit: s
+                                            max:
+                                                type: number
+                                                default: 0.0
+                                                minimum: 0.0
+                                                maximum: 1.e+3
+                                                unit: s
+                                            ref: &ipc_ref
+                                                type: number 
+                                                default: 1.e-8
+                                                minimum: 1.e-10
+                                                maximum: 1.e-5
+                                    Ki: 
+                                        type: object
+                                        default: {}
+                                        properties:
+                                            flag: *flag
+                                            min:
+                                                type: number
+                                                default: 0.0
+                                                minimum: 0.0
+                                                maximum: 1.e+3
+                                                unit: none
+                                            max:
+                                                type: number
+                                                default: 1.e-7
+                                                minimum: 0.0
+                                                maximum: 1.e+3
+                                                unit: none
+                                            ref: *ipc_ref
             TMDs:
                 type: object
                 description: Design variables associated with TMDs
@@ -289,7 +337,6 @@ properties:
                                         lower_bound: *bound
                                         upper_bound: *bound
                                         initial: *initial
-
     constraints:
         # GB: These all need gammas or safety factors
         type: object
@@ -347,6 +394,30 @@ properties:
                                 minimum: 0.0
                                 maximum: 30.0
                                 unit: deg
+                    Max_TwrBsMyt:
+                        type: object
+                        description: Maximum platform pitch displacement
+                        default: {}
+                        properties:
+                            flag: *flag
+                            max: 
+                                type: number
+                                default: 1.e+5
+                                minimum: 0.0
+                                maximum: 1.e+8
+                                unit: kN*m
+                    DEL_TwrBsMyt:
+                        type: object
+                        description: Maximum platform pitch displacement
+                        default: {}
+                        properties:
+                            flag: *flag
+                            max: 
+                                type: number
+                                default: 1.e+5
+                                minimum: 0.0
+                                maximum: 1.e+8
+                                unit: kN*m
                     nacelle_acceleration:
                         type: object
                         description: Maximum Nacelle IMU accelleration magnitude, i.e., sqrt(NcIMUTAxs^2 + NcIMUTAys^2 + NcIMUTAzs^2)