Predictive Current Control of Permanent Magnet Synchronous Motor Based on An Adaptive Internal Model Observer

Minghui Chen, Fengxiang Wang, Long He, Dongliang Ke, Kunkun Zuo, Jose Rodriguez

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

Abstract

An adaptive internal model disturbance observer based control scheme for surface mounted permanent magnet synchronous motor (SPMSM) is proposed in this paper. Firstly, an extended SPMSM model is given by considering the external disturbances and parameter mismatches. Secondly, an adaptive internal model observer is introduced to estimate the disturbances by parameter mismatches in the current loops. Thirdly, based on the observed disturbances, the current scheme that based on the model predictive control is attained. Finally, Simulation results verify the effectiveness of the model predictive current control algorithm based on the AIMO.

Original languageEnglish
Title of host publication2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2567-2571
Number of pages5
ISBN (Electronic)9781728153018
DOIs
Publication statusPublished - 29 Nov 2020
Event9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia - Nanjing, China
Duration: 29 Nov 20202 Dec 2020

Publication series

Name2020 IEEE 9th International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia

Conference

Conference9th IEEE International Power Electronics and Motion Control Conference, IPEMC 2020 ECCE Asia
Country/TerritoryChina
CityNanjing
Period29/11/202/12/20

Keywords

  • adaptive internal model disturbance observer (AIMO)
  • model predictive current control (MPCC)
  • permanent magnet synchronous machine (PMSM)

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Control and Optimization

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