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Adaptive control of negative-saliency PMSM based on online parameter identification

  • School of Electrical Engineering and Automation, Harbin Institute of Technology

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

Abstract

Negative-saliency PMSM in which Ld is higher than Lq can achieve wider speed range, therefore it has a broad application prospect in electric vehicles. The parameters vary greatly under different operation conditions, leading to deteriorate the performance of the controller. In this paper, an adaptive control method based on online parameter identification is proposed. In constant torque region, adaptive maximum torque per ampere control is realized based on online parameter identification. In constant power region, adaptive field weakening control based on a PI regulator is used. Simulation and experiment results verify the reasonableness and correctness of the proposed control strategies.

Original languageEnglish
Title of host publicationProceedings of the IECON 2016 - 42nd Annual Conference of the Industrial Electronics Society
PublisherIEEE Computer Society
Pages2660-2665
Number of pages6
ISBN (Electronic)9781509034741
DOIs
StatePublished - 21 Dec 2016
Externally publishedYes
Event42nd Conference of the Industrial Electronics Society, IECON 2016 - Florence, Italy
Duration: 24 Oct 201627 Oct 2016

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Conference

Conference42nd Conference of the Industrial Electronics Society, IECON 2016
Country/TerritoryItaly
CityFlorence
Period24/10/1627/10/16

Keywords

  • Adaptive control
  • Field weakening (FW)
  • Maximum torque per ampere (MTPA)
  • Negative saliency
  • PMSM
  • Parameter identification

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