系统仿真学报 ›› 2018, Vol. 30 ›› Issue (10): 3761-3769.doi: 10.16182/j.issn1004731x.joss.201810021

• 仿真应用工程 • 上一篇    下一篇

基于改进卡尔曼滤波的无速度传感器探究

张海刚, 聂圆圆, 张磊, 王步来, 叶银忠, 万衡   

  1. 上海应用技术大学电气学院,上海 201418
  • 收稿日期:2016-06-14 修回日期:2016-09-05 出版日期:2018-10-10 发布日期:2019-01-04
  • 作者简介:张海刚(1973-),男,上海,博士,高工,硕导,研究方向为电力电子与电气传动;聂圆圆(1992-),女,河南郑州,硕士,研究方向为电机控制。
  • 基金资助:
    国家自然科学基金(61374132)

Research on Sensorless Control Method Based on Improved Kalman Filter of Sliding Mode Observer

Zhang Haigang, Nie Yuanyuan, Zhang Lei, Wang Bulai, Ye Yinzhong, Wan Heng   

  1. School of Electrical and Electronic Engineering of Shanghai Institute of Technology, Shanghai 201418, China
  • Received:2016-06-14 Revised:2016-09-05 Online:2018-10-10 Published:2019-01-04

摘要: 永磁同步电动机PMSM的滑模观测器参数误差所造成的估算误差和反电动势中存在的高频纹波都会导致永磁电机的无速度传感器控制系统稳定状况变差。提出了一种在低通滤波的基础上添加卡尔曼滤波器环节的估算方法来消除高频纹波,在滑模观测器前端引入卡尔曼滤波器来消除高频纹波,使得永磁同步电机的控制系统具有更好的稳态效果和动态响应。搭建Matlab仿真平台对提出方法进行验证,仿真结果表明增加卡尔曼滤波后滑模观测器不仅鲁棒性强,而且在一定程度上抑制了抖振,提高了电机滑模控制系统的稳定性,系统快速性和动态性能也得到了改善。

关键词: 滑模观测器, 永磁同步电机, 无速度传感器, 卡尔曼滤波器

Abstract: Aiming at problems of high frequency ripple component existed in PMSM parameter error caused by the sliding mode observer (SMO) estimation error and counter electromotive force, the stable condition of the speed sensorless control system of permanent magnet motor is weakened. The Kalman filter is introduced to eliminate the high frequency ripple in the front of the sliding mode observer. The control system of the permanent magnet synchronous motor has better steady-state effect and dynamic response. A Matlab platform has been built to validate this method, the experimental results show that the improved sliding mode observer is strong robustness, it can inhibit the chattering to a certain extent, on the other hand, it also can improve the stability, rapidity and dynamic performance of the SMO system.

Key words: sliding mode observer, PMSM, position-sensorless, Kalman filter

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