基于遗传算法的永磁同步电机自抗扰控制  

Auto disturbance rejection control of PMSM based on genetic algorithm

作　　者：姜伟[1] 胡小英 郑颖[1] 裘信国[1] 汪洋[1] JIANG Wei;HU Xiaoying;ZHENG Ying;QIU Xinguo;WANG Yang(College of Mechanical Engineering,Zhejiang University of Technology,Hangzhou 310014,China)

机构地区：[1]浙江工业大学机械工程学院

出　　处：《浙江工业大学学报》2019年第4期368-374,共7页Journal of Zhejiang University of Technology

基　　金：国家自然科学基金资助项目(51105338)

摘　　要：永磁同步电机常用的PID控制方式存在超调、抗扰动性能差等缺点。为了降低扰动对PMSM系统性能的影响,采用自抗扰控制方法,将系统固有扰动、因参数和负载等变化产生的扰动归为总和扰动,通过扩张状态观测器对系统状态和总扰动进行估计,并将观测值实时反馈给具有鲁棒性的控制器,从而抑制系统扰动,并用遗传算法优化自抗扰控制器ESO的部分参数。仿真表明:采用遗传算法优化的自抗扰控制提高了系统的响应速度和精度,有效抑制了扰动对PMSM跟踪精度的影响,实验也验证了系统的抗负载扰动性能优于PID控制,系统的鲁棒性强。The effect of disturbance on the performance of the control system of PMSM can be reduced by auto disturbance rejection control (ADRC),and the control performance is better than PID.The disturbances include natural disturbance and external disturbance could be observed with the extended state observer (ESO),the observed value would feedback to the robust controller real-time,and some parameters of ADRC are optimized by genetic algorithm.Simulation results show that the ADRC optimized by genetic algorithm improves the response speed of the system,reduces the steady-state error,effectively suppresses the influence of disturbances on the performance,and improves the robustness of the control system,experiments also verify that the system has better performance of resisting load disturbance than PID control system.

关 键 词：永磁同步电机 扰动 自抗扰控制 遗传算法 鲁棒性 

分 类 号：TM351[电气工程—电机]