抑制PMSM周期性转矩脉动的迭代学习方法  

PMSM periodical torque ripple minimization using iterative learning control

作　　者：李兵强[1,2] 林辉[1] 

机构地区：[1]西北工业大学自动化学院,陕西西安710072 [2]西北工业大学电气工程博士后流动站,陕西西安710072

出　　处：《电机与控制学报》2011年第9期51-55,共5页Electric Machines and Control

基　　金：航空科学基金(2007ZC53036);博士学科点专项科研基金(20106102110032)

摘　　要：为了抑制永磁同步电机高性能伺服应用中的低速转矩脉动,在探讨转矩脉动传统抑制方法的基础上,分析并指出主要成分的周期特性,提出永磁同步电机恒压频比控制中通过迭代学习控制抑制周期性转矩脉动的方法,通过在线学习补偿电机控制电压来抑制转矩脉动,设计了控制器并作了收敛性分析。仿真结果表明:迭代学习快速收敛,可有效减小转矩脉动,转矩纹波系数由初始时刻的11.2%减小为3.1%。该方法对原系统改动量小,结构与算法实现简单,不依赖于系统的先验知识和系统参数,鲁棒性强。To minimize the low speed torque ripple of permanent magnet synchronous motor（PMSM） used in high-performance servo system,the traditional torque ripple suppression methods were discussed,the main components of torque ripple were analyzed and its periodic characteristic was pointed out.Based on these,a new method using iterative learning control（ILC） was proposed to minimize the periodic torque ripple of PMSM with constant voltage frequency ratio control.The method minimizes the torque ripple by on line learning and compensating the control voltage.The controller was designed and its convergence condition was derived.The simulation results show that the iterative learning process has fast convergence speed and the torque ripple can be effectively minimized from 11.2% to 3.1%.This method needs a small amount of changes to the original system,the structure and algorithm are both simple and do not depend on the prior system knowledge and parameters,thus can obtain strong robustness.

关 键 词：永磁同步电机 迭代学习控制 转矩脉动 齿槽转矩 恒压频比控制 

分 类 号：TM351[电气工程—电机]