Application of cerebellar model articulation controller in permanent magnet synchronous

摘要

In order to improve the system's rapidity, robustness and anti-interference ability, in the permanent magnet synchronous motor closed-loop speed control system, using the model of cerebellar speed loop neural network and PID control. Cerebellum model articulation controller (CMAC) can learn a variety of nonlinear functions, and the number of iterations of the neural network is much less than the conventional BP neural network. In order to verify the effectiveness of the cerebellum model and PID compound control (CMAC-PID) method, the proposed method is verified on the MATLAB simulation platform. The simulation results show that compared with the traditional PI control, the CMAC-PID control system has the advantages of small overshoot, more stable system and better robustness and disturbance rejection performance.