永磁同步电机改进模糊PI控制研究  

Research on Improvement of Fuzzy PI Control for Permanent Magnet Synchronous Motor

作　　者：许仙明[1] 吴静进[1] 吴敏[1] 何尚平[1] XU Xian-ming;WU Jing-jin;WU Min;HE Shang-ping(Nanchang University, Nanchang 330029, China)

机构地区：[1]南昌大学科学技术学院

出　　处：《微特电机》2019年第7期68-71,共4页Small & Special Electrical Machines

摘　　要：研究了一种用遗传算法优化的模糊PI控制方法,优化后模糊规则更加合理。实验结果表明,经遗传算法改进的模糊PI控制算法对永磁同步电机的转速具有优良的控制性能,相比于经典的模糊PI控制算法,有更快的速度响应及更稳定的控制性能,对于突加的载荷,具有更好的动态性能及更强的抗干扰能力。A fuzzy PI control method based on genetic algorithm was studied,and the fuzzy rules were optimized by genetic algorithm.The simulation results show that the improved algorithm has better control performance on the speed control of permanent magnet synchronous motor.Compared with the classical fuzzy PI control algorithm,the improved fuzzy PI control algorithm has better performance and faster response.The stable control performance is better for the sudden loading,and the improved fuzzy PI control system has better anti-jamming performance.

关 键 词：永磁同步电机 遗传算法 模糊规则 模糊PI控制 

分 类 号：TM351[电气工程—电机]