All Pazy simulations are run with ρ=1.225 kg m-3.
First, run generate_deformed_flutter.py, the script runs a single-step simulation for each speed defined. You can manuall set the minimum and maximum speeds, M, N, Ms, alpha, skin_on, and trailing_edge_weight. By default, the script stores the simulation outputs in ./output/pazy/output/, and each setting will get its own directory, which contains the simulations for each velocity. One can extract the linear system from the directory beam_modal_analysis, which contains the M, C, and K matrices (e.g. output/pazy/output/pazy_M16N1Ms20_alpha0001_skin0_te0/pazy_uinf0200_alpha0001/pazy_uinf0200_alpha0001/beam_modal_analysis/eigenvaluetable.txt). After running generate_deformed_flutter.py, you can proceed to pazy_flutter.ipynb to calculate the flutter speed and perform time-series simulation.
In pazy_flutter.ipynb, there are two sections, SHARPy TS without PDEControl and SHARPy TS with PDEControl. The first section runs the time-series simulation for a given speed without control surface controller. This establishes the baseline for Pazy wing motion. The second section runs the time-series simulation for a given speed with control surface controller. You can define your control surface span (expressed as fraction of wingspan), control surface chord (expressed as fraction of wing chord), and all the controller parameters.
Clone this project with the following:
git clone --recursive https://github.com/ianlamfar/sharpy.git <your_custom_folder (optional)>
The --recursive flag will also clone the xbeam and UVLM dependencies.
After cloning the repo, create the SHARPy environment with one of the environment_<option>.yml files provided. Replace <option> with one of the following: linux, macos, minimal, or new.
cd <your_sharpy_folder>/utils
conda env create -n <your_sharpy_env_name> -f environment_<option>.yml
cd ../
conda activate <your_sharpy_env_name>
Now build the UVLM and xbeam libraries.
mkdir build
cd build
cmake ..
make install -j 8
cd ../
pip install .