fnctId=bbs,fnctNo=16534
- 작성일
- 2023.02.08
- 수정일
- 2023.11.19
- 작성자
- 임희창
- 조회수
- 489
Optimizing Flow Control with Deep Reinforcement Learning: Plasma Actuator Placement around a Square Cylinder
The DRL code used in this study is built upon the open-source DRL code developed by Rabault et al. The DRL code follows the structure of a PPO agent implemented using the Tensorforce library. For the simulation environment, we have employed OpenFOAM-6.
Installation
- python3 and pip3: sudo apt install python3-pip
- tensorflow: pip3 install tensorflow==1.13.1
- tensorforce: pip3 install tensorforce==0.4.2
How to run
- Compile the solver pimpleplasmaFoam in OpenFOAM-6: wmake
- Train the DRL model in folder mode_180_3: python3 training.py
- Test the model in folder model_180_3: python3 testing.py
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