Research on Speed Control Strategy of Permanent Magnet Synchronous Motor Based on BP-SSO-PID Algorithm

In order to improve the control performance of permanent magnet synchronous motor (PMSM), firstly, this paper analyses the characteristics of traditional PID controller and PID controller based on BP neural network. Aiming at the problems of large overshoot and weak anti-interference, this paper studies a BP-SSO-PID controller based on spider clustering algorithm to optimize the parameters of BP neural network. Then, by establishing the mathematical model of PMSM and compiling the S-function function block, this paper sets up the speed control model of PMSM based on BP-SSO-PID algorithm in MATLAB. The results of experiment are compared with traditional PID controller and neural network PID controller's results. At last, it proves that the new method can effectively improve the overshoot, improve the response of the system and enhance the anti-interference of the PMSM.