Speed Regulation Method Using Genetic Algorithm for Dual Three-phase Permanent Magnet Synchronous Motors

Abstract

Dual three-phase Permanent Magnet Synchronous Motor (DTP-PMSM) is a nonlinear, strongly coupled, high-order multivariable system. In today's application scenarios, it is difficult for traditional PI controllers to meet the requirements of fast response, high accuracy and good robustness. In order to improve the performance of DTP-PMSM speed regulation system, a control strategy of PI controller based on genetic algorithm is proposed. Firstly, the basic mathematical model of DTP-PMSM is established, and the PI parameters of DTP-PMSM speed regulation system are optimized by genetic algorithm, and the modeling and simulation experiments of DTP-PMSM control system are carried out by MATLAB/SIMULINK. The simulation results show that, compared with the traditional PI control, the proposed algorithm significantly improves the performance of the control system, and the speed output overshoot of the GA-PI speed control system is smaller. The anti-interference ability is stronger, and the torque and double three-phase current output fluctuations are smaller.