Nonlinear Generalized Predictive Control of Permanent Magnet Synchronous Motor Based on Extended State Observer

Yilun Liu, Yongqing Wang, Xiaokai Zhang, Guangzhao Luo, Siqi Li, Yiyan Wang

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

4 Scopus citations

Abstract

In order to improve robustness of permanent magnet synchronous motor (PMSM) servo system, a nonlinear generalized predictive control (NGPC) strategy based on extended state observer (ESO) is proposed. According to the NGPC theory, a NGPC controller is designed by using the continuous-time model of PMSM. In the case of the parameter variations and external load disturbance in the actual motor system, an ESO based on inverse hyperbolic sine function is introduced to estimate the total disturbance of the system and compensate dynamically in real time. The simulation results show that the proposed control strategy has good dynamic performance and strong robustness, providing an effective approach for engineering implementation.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationIECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
Pages3225-3230
Number of pages6
ISBN (Electronic)9781728148786
DOIs
StatePublished - Oct 2019
Externally publishedYes
Event45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019 - Lisbon, Portugal
Duration: 14 Oct 201917 Oct 2019

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2019-October

Conference

Conference45th Annual Conference of the IEEE Industrial Electronics Society, IECON 2019
Country/TerritoryPortugal
CityLisbon
Period14/10/1917/10/19

Keywords

  • extended state observer
  • inverse hyperbolic sine function
  • nonlinear generalized predictive control
  • Permanent Magnet Synchronous Motor

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