基于改进PSO算法的永磁同步电机模糊PI控制方法研究

Research on PMSM fuzzy PI control method based on improved PSO algorithm

永磁同步电机作为装配工艺中电动夹爪常用的动力源器件,在实际控制系统中通常采用传统可靠的PID控制,但传统的PID控制精准度较低,对外界干扰较为敏感,无法满足电机的实际要求。为解决这一问题,利用MATLAB/Simulink模块搭建电机的控制系统模型;加入模糊控制,利用模糊推理对PID的变量进行自适应调节;引入改进的粒子群算法,以实现永磁同步电机系统的精确控制。仿真结果表明,该方法与传统PI控制相比具有更快的响应速度、更小的超调量、更强的抗干扰能力,系统稳定性显著提高。

As a common power source device for electric clamping jaws in the assembly process,PMSM are usually controlled by traditional and reliable PID control in the actual control system,but the traditional PID control is less accurate and more sensitive to external disturbances,and cannot meet the actual requirements of the motor.To solve this problem,the control system model of the motor was built using the MATLAB/Simulink module;fuzzy control was added and the variables of the PID were adaptively adjusted using fuzzy inference;an improved PSO algorithm was introduced to achieve accurate control of the PMSM system.The simulation results showed that the method had a faster response,smaller overshoot,stronger anti-disturbance capability and significantly improved system stability compared to traditional PI control.