Application of Reinforcement Learning in PMLM Speed Control

Reinforcement learning is used in permanent magnet linear motor control system in this paper. The proposed controller used the reinforcement signal from plant when the system model is unknown. The controller's parameters could be updated by use of adaptive heuristic assessment algorithm. The simulation results show that the proposed method can make the system have more dynamic performance and steady accuracy.