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

作　　者：宋百玲 董刘伟 胡思远 丁宇珊 SONG Bailing;DONG Liuwei;HU Siyuan;DING Yushan(College of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin 150000,China)

机构地区：[1]东北林业大学机电工程学院,哈尔滨150000

出　　处：《重庆理工大学学报（自然科学）》2024年第3期64-73,共10页Journal of Chongqing University of Technology：Natural Science

基　　金：变速装置开发设计与服务基金项目资助(43220022)。

摘　　要：永磁同步电机具有结构简单、噪音低、效率高等优点而得到广泛应用。但是传统的矢量控制方法已经不能满足当前产业的控制需要,为了获得更好的控制性能,在普通PID控制的基础上,提出了一种基于粒子群算法优化的变论域模糊PID控制方法。分析永磁同步电机矢量控制原理,并建立了PMSM在dq坐标系下的数学模型,设计了基于PSO的变论域模糊PID控制器,利用Matlab/Simulink搭建id=0矢量控制下的PMSM调速系统仿真模型。仿真结果表明,与传统PID控制和模糊PID控制相比,基于粒子群优化的变论域模糊PID控制方法在具备传统模糊控制和PID控制算法优点的同时,利用粒子群算法得到最佳模糊论域,提高了永磁同步电机控制系统的动态响应速度,减少了超调和波动。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 i d=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 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]