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About Towards A Reinforcement Learning Environment Toolbox For Intelligent Electric Motor Control
1. The document presents a reinforcement learning toolbox called gym-electric-motor (GEM) for training and validating reinforcement learning controllers for electric motor control. 2. GEM is based on the OpenAI Gym framework and contains simulations of different types of DC motors and a permanent magnet synchronous motor, along with various power electronic converters and a mechanical load model. 3. An example intelligent controller trained with deep deterministic policy gradient reinforcement learning is presented to control a series DC motor and compared to a traditional cascaded PI controller baseline.
Detailed Information
| Author: | ['edumaceren'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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