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

Authors

Haigang Zhang, School of Electrical and Electronic Engineering of Shanghai Institute of Technology, Shanghai 201418, China;
Yuanyuan Nie, School of Electrical and Electronic Engineering of Shanghai Institute of Technology, Shanghai 201418, China;
Zhang Lei, School of Electrical and Electronic Engineering of Shanghai Institute of Technology, Shanghai 201418, China;
Bulai Wang, School of Electrical and Electronic Engineering of Shanghai Institute of Technology, Shanghai 201418, China;
Yinzhong Ye, School of Electrical and Electronic Engineering of Shanghai Institute of Technology, Shanghai 201418, China;
Wan Heng, School of Electrical and Electronic Engineering of Shanghai Institute of Technology, Shanghai 201418, China;

Abstract

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.

Recommended Citation

Zhang, Haigang; Nie, Yuanyuan; Lei, Zhang; Wang, Bulai; Ye, Yinzhong; and Heng, Wan (2019) "Research on Sensorless Control Method Based on Improved Kalman Filter of Sliding Mode Observer," Journal of System Simulation: Vol. 30: Iss. 10, Article 21.
DOI: 10.16182/j.issn1004731x.joss.201810021
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss10/21

First Page

3761

Revised Date

2016-09-05

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201810021

Last Page

3769

CLC

TM341

Recommended Citation

Zhang Haigang, Nie Yuanyuan, Zhang Lei, Wang Bulai, Ye Yinzhong, Wan Heng. Research on Sensorless Control Method Based on Improved Kalman Filter of Sliding Mode Observer[J]. Journal of System Simulation, 2018, 30(10): 3761-3769.

DOI

10.16182/j.issn1004731x.joss.201810021