Vector Control of PMSM Servo System Based on Fuzzy Terminal Sliding Mode Control

Ziyan Zhao, Xiwei Peng, Yujie Guo, Jianqiang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, a fuzzy sliding mode control algorithm with variable rate reaching law is designed for the permanent magnet synchronous motor (PMSM) vector control system. Firstly, a nonlinear sliding mode surface is designed, and an SMC algorithm combining exponential reaching law and terminal sliding mode control is proposed. Then in order to solve the chattering problem of sliding mode control system, fuzzy control is introduced. The distance between system state point and sliding mode surface is used to set fuzzy rules to realize the dynamic adjustment of the sliding mode reaching speed. Finally, the PMSM vector control system model is established in MATLAB/Simulink environment, and the speed control of PMSM under sudden change of load torque is simulated. Simulation results show that the PMSM vector control system with improved fuzzy SMC algorithm has better dynamic response characteristics and robustness, and the anti-interference ability of the system under sudden change of load torque is improved.

Original languageEnglish
Title of host publication2023 42nd Chinese Control Conference, CCC 2023
PublisherIEEE Computer Society
Pages432-437
Number of pages6
ISBN (Electronic)9789887581543
DOIs
Publication statusPublished - 2023
Event42nd Chinese Control Conference, CCC 2023 - Tianjin, China
Duration: 24 Jul 202326 Jul 2023

Publication series

NameChinese Control Conference, CCC
Volume2023-July
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference42nd Chinese Control Conference, CCC 2023
Country/TerritoryChina
CityTianjin
Period24/07/2326/07/23

Keywords

  • Fuzzy Control
  • Permanent Magnet Synchronous Motor
  • SVPWM
  • Sliding Mode Control

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