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Model parameter adaptive sliding mode model-following position control of PMSM

  • Beijing Institute of Technology

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

Abstract

This paper aims at improving the robustness of the PMSM position control system with the parameter variation and load disturbance. A novel control strategy utilizing sliding mode model-following control (SMMFC) with the adaptive parameters observed by dual unscented Kalman filter (DUKF) observer is proposed. The switching gain of sliding mode is designed including the observed states of the system to suppress the chattering. The experimental results show that the robustness has been improved by sliding mode control, and the chattering has been well suppressed by switching gain adaptation depending on the observed states of the system. Meanwhile, the control accuracy has been enhanced by model-following control with parameter adaptation. The position control performance of PMSM has been improved by the proposed scheme.

Original languageEnglish
Title of host publicationIntelligent System and Applied Material
Pages1089-1094
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 International Conference on Intelligent System and Applied Material, GSAM 2012 - Taiyuan, Shanxi, China
Duration: 13 Jan 201215 Jan 2012

Publication series

NameApplied Mechanics and Materials
Volume466-467
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2012 International Conference on Intelligent System and Applied Material, GSAM 2012
Country/TerritoryChina
CityTaiyuan, Shanxi
Period13/01/1215/01/12

Keywords

  • Dual unscented kalman filter (DUKF)
  • Model parameter adaptation
  • Model-following
  • PMSM position control
  • Sliding mode

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