Non-smooth control of PMSM position servo system based on model compensation

Yilun Liu, Kai Fan, Qi He, Guangzhao Luo, Siqi Li

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

2 Scopus citations

Abstract

In order to improve the control performance of permanent magnet synchronous motor (PMSM) servo system, a non-smooth control strategy based on model compensation is proposed. According to the non-smooth theory and the disturbance analysis of the position loop, a non-smooth controller is designed to make the position error of the closed-loop system converges into a small region in finite time. The model identification compensation technology is combined with the non-smooth control strategy. Partially model of the PMSM is identified and is employed to compensate disturbance partially to improve the accuracy of the disturbance estimation. The simulation and experimental results show that the proposed control strategy not only has a faster convergence speed of the position error, but also has stronger anti-disturbance ability.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages601-606
Number of pages6
ISBN (Electronic)9781509066841
DOIs
StatePublished - 26 Dec 2018
Event44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018 - Washington, United States
Duration: 20 Oct 201823 Oct 2018

Publication series

NameProceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society

Conference

Conference44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
Country/TerritoryUnited States
CityWashington
Period20/10/1823/10/18

Keywords

  • Model compensation
  • Non-smooth control
  • Permanent Magnet Synchronous Motor
  • Position control

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