基于改进GWO算法的永磁同步电机滑模MRAS控制

Sliding mode MRAS control for permanent magnet synchronous motor based on an improved GWO algorithm

设计了一种改进的新型滑模模型参考自适应系统(MRAS),以提高传统的永磁同步电机(PMSM)滑模MRAS控制性能。在传统滑模MRAS中的积分滑模面基础上引入非奇异快速终端滑模面,构成一种积分型非奇异快速终端滑模面,以提高收敛性能。用非线性指数函数来代替传统滑模MRAS中的开关函数,用改进的灰狼优化(GWO)算法,对滑模面参数进行全局寻优,以提升控制精度。进行了Matlab/Simulink软件的仿真。结果表明:相比传统的滑模MRAS,改进后的滑模MRAS将系统转矩脉动幅度降低75%,实际转速抖动幅度降低80%,超调控制在2.3%以内,调节时间控制在10 ms以内,转子位置观测误差减小60%。

An improved sliding mode model reference adaptive system(MRAS)was designed to improve the control performance of traditional permanent magnet synchronous motor(PMSM)sliding mode MRAS.Based on the integral sliding mode surface of traditional sliding mode MRAS,the non-singular fast terminal sliding mode surface was introduced,which constitutes an integral non-singular fast terminal sliding mode surface to improve the convergence performance.A nonlinear exponential function was used to replace the switching function in the traditional sliding mode MRAS,and an improved gray wolf optimization(GWO)algorithm was used to optimize the sliding mode surface parameters globally to improve the control precision.The simulation results of MATLAB/Simulink software show that compare with the traditional sliding mode MRAS,the improved sliding mode MRAS can reduce the torque ripple amplitude by 75%,reduce the actual speed jitter amplitude by 80%,control the actual speed overshot within 2.3%,control the adjustment time within 10 ms,and reduce the observation error of rotor position by 60%.