Reinforcement Learning for Field-Oriented Control of a Permanent Magnet Synchronous Motor

Use reinforcement learning and the DDPG algorithm for field-oriented control of a Permanent Magnet Synchronous Motor. This demonstration replaces two PI controllers with a reinforcement learning agent in the inner loop of the standard field-oriented control architecture and shows how to set up and train an agent using the reinforcement learning workflow.