重庆理工大学学报2024，Vol.38Issue(5)：64-73,10.DOI:10.3969/j.issn.1674-8425(z).2024.03.007
粒子群优化变论域模糊PID的永磁同步电机矢量控制策略
Research on PMSM vector control strategy based on particles warm optimization algorithm variable universe fuzzy PID
摘要
Abstract
Permanent magnet synchronous motor is widely used thanks to its simple structure, low noise and high efficiency. The traditional PID control hardly meets the requirements of modern industry control. To achieve better performances, a fuzzy PID control method based on particle swarm optimization is proposed in this paper. The vector control principle of permanent magnet synchronous motor is analyzed and the mathematical model of PMSM in d-q coordinate system is built. The variable theory domain fuzzy PID controller based on PSO is designed, and the simulation model of PMSM speed regulation system under id=0 vector control is built by Matlab/Simulink. Our simulation results show the variable discourse domain fuzzy PID control method based on particle swarm optimization shares the advantages of traditional fuzzy control and PID control algorithm and employs particle swarm optimization to get the best fuzzy discourse domain, improving the dynamic response speed of permanent magnet synchronous motor control system, and reducing the overshoot and fluctuations.关键词
永磁同步电机/模糊PID/变论域/粒子群算法/Matlab/Simulink仿真Key words
permanent magnet synchronous motor/fuzzy PID/Variable universe/particle swarm optimization/Matlab/Simulink simulation分类
信息技术与安全科学引用本文复制引用
宋百玲,董刘伟,胡思远,丁宇珊..粒子群优化变论域模糊PID的永磁同步电机矢量控制策略[J].重庆理工大学学报,2024,38(5):64-73,10.基金项目
变速装置开发设计与服务基金项目资助(43220022) （43220022）
