遗传算法优化的无刷直流电机模糊PID控制器设计

Abstract

Abstract: A genetic algorithm based fuzzy PID (proportional-integral-differential) controller genetic algorithm based fuzzy PID controller (GFPC) was designed to improve the stability of brushless DC motor. GFPC used fuzzy controller to adjust the proportional, integral and differential coefficients of PID, and an improved genetic algorithm was used to optimize the membership function and fuzzy rule of fuzzy controller to improve the control effect of brushless DC motor. The method was tested by contrast experiment. The experimental results show that GFPC has good steady-state performance and dynamic quality, and has stronger adaptive ability and robustness.

Key words: brushless DC motor, fuzzy PID controller, genetic algorithm, membership function and fuzzy rule

CLC Number:

TP273

WANG Tingting, WANG Hongzhi, LUI Qingxue, HU Huangshui, WANG Chuhang. Design of Fuzzy PID Controller for Brushless DC Motor Optimized by GA[J].Journal of Jilin University Science Edition, 2020, 58(6): 1421-1428.

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Design of Fuzzy PID Controller for Brushless DC Motor Optimized by GA

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