Fuzzy PI Control of Permanent Magnet Synchronous Motor Based on Improved Differential Evolution Algorithm

Abstract

In view of the problems of poor speed tracking and insufficient robustness in the traditional vector control of proportional-integral permanent magnet synchronous motor, this paper proposes a fuzzy PI vector control method based on the improved differential evolution algorithm to optimize the PI parameters and the fuzzy control. The improved differential evolution algorithm is based on the overshoot and the adjustment time to optimize the PI parameters offline. The fuzzy control idea is adopted and combined with the PI control to build a fuzzy PI controller for the vector control of permanent magnet synchronous motor. The simulation results show that compared with the traditional PI control effect, the fuzzy PI controller based on improved differential evolution algorithm optimization reduces the adjustment time and overshoot, reduces the torque ripple caused by load mutation, and increases the anti-interference ability of the system.