含松弛因子的迭代学习控制永磁同步电机转矩波动抑制  

Torque Ripple Reduction of PMSM Using Iterative Learning Control With Relaxation Factor

作　　者：赵婷 陈家璘 曾铮 隋璐捷 谢文武 ZHAO Ting;CHEN Jialin;ZENG Zheng;SUI Lujie;XIE Wenwu(State Grid Hubei Electric Power Company Information & Telecommunication Co. , Ltd. , Wuhan 430079,China;2School of Information and Communication Engineering, Hunan Institute of Science and Technology,Yueyang Hunan 414006 China)

机构地区：[1]国网湖北省电力有限公司信息通信公司,武汉430079 [2]湖南理工学院信息科学与工程学院,湖南岳阳414006

出　　处：《微电机》2020年第7期84-87,91,共5页Micromotors

基　　金：湖南省科技计划项目经费资助(2016TP1021);湖南省自然科学基金资助(2018JJ2154);湖南省教育厅优秀青年项目(18B353)。

摘　　要：提出了含松弛因子的迭代学习控制策略,用于永磁同步电机转矩波动的抑制,迭代学习率中的松弛因子用于改善非周期性扰动的累积问题。首先建立了永磁同步电机的数学模型,推导了迭代学习控制的表达式,基于奈氏稳定判据对控制系统的稳定性进行分析,并对控制器参数进行了整定。将文中控制策略与传统PI控制策略在相同条件下进行对比,分别通过仿真和实验验证文中算法能够对转矩波动实现有效抑制。In this paper,an iterative learning control strategy with relaxation factor was proposed for the torque ripple reduction of permanent magnet synchronous motor.The relaxation factor was used to solve the problem of accumulation of non-periodic disturbances.The mathematical model of the permanent magnet synchronous motor was established,the expression of iterative learning control was obtained.Control parameters were tuned along with the Nyquist stability determination.The proposed control method was compared with conventional PI control method at the same test condition.Simulation and experiment results demonstrated the effectiveness of the proposed method in this paper.

关 键 词：迭代学习控制 永磁同步电机 转矩波动 

分 类 号：TM351[电气工程—电机] TM341