Adaptive Stator Current Disturbance Observer based on the Predictive Current Control for PMSM

Fengxiang Wang, Kunkun Zuo, Guiying Lin, Long He, Jose Rodriguez, Cristian Garcia

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

Abstract

This paper presents an adaptive stator current disturbance observer based on the model predictive current control (PCC) algorithm. For the various disturbances, the disturbance observer (DO) algorithm estimates the lumped disturbance and makes a feedforward compensation to correct the output. However, the discrete characteristic of current prediction error is neglected in conventional stator current disturbance observer (SCDO). Based on the detailed analysis of the stator current prediction error, the proposed method structures a parallel strategy to observe the discrete disturbance related to each voltage vector separately, and designs an adaptive compensation strategy to eliminate the prediction error. The effectiveness of proposed method is verified using experimental tests in the permanent-magnet synchronous motor (PMSM) system.

Original languageEnglish
Title of host publicationProceedings - IECON 2020
Subtitle of host publication46th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
Pages4612-4618
Number of pages7
ISBN (Electronic)9781728154145
DOIs
Publication statusPublished - 18 Oct 2020
Event46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 - Virtual, Singapore, Singapore
Duration: 19 Oct 202021 Oct 2020

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
Volume2020-October

Conference

Conference46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Country/TerritorySingapore
CityVirtual, Singapore
Period19/10/2021/10/20

Keywords

  • Disturbance Observer (DOB)
  • permanent-magnet Synchronous Motor (PMSM)
  • predictive Current Control (PCC)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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