Reinforcement learning-driven model predictive control presents a significant advancement in the optimization of counter-rotating permanent magnet synchronous motors (PMSM) used in submarine propulsion systems. By integrating sophisticated artificial intelligence algorithms, this method enhances the overall efficiency and performance of these motors. The adaptation of reinforcement learning…
