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Online PMSM Inductance Identification Considering Cross-Coupling Effect

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

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

Abstract

The control accuracy of PMSM depends largely on the inductance. In the traditional inductance identification methods, the ideal PMSM mathematical model is applied, where d-axis and q-axis are assumed completely decoupled. In this case, only the d-axis and q-axis inductances are considered. However, the cross-coupling effect exists in the actual model of PMSM, which leads to the mutual inductance between d-axis and q-axis. In this paper, a high-frequency (HF) equivalent impedance model of PMSM under virtual axis is proposed. According to the HF signal injection, the inductance matrix of PMSM considering the cross-coupling effect can be accurately identified. The experimental results show the effectiveness of the proposed method under different PMSM operation conditions.

Original languageEnglish
Title of host publicationIECON 2023 - 49th Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE Computer Society
ISBN (Electronic)9798350331820
DOIs
StatePublished - 2023
Externally publishedYes
Event49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023 - Singapore, Singapore
Duration: 16 Oct 202319 Oct 2023

Publication series

NameIECON Proceedings (Industrial Electronics Conference)
ISSN (Print)2162-4704
ISSN (Electronic)2577-1647

Conference

Conference49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023
Country/TerritorySingapore
CitySingapore
Period16/10/2319/10/23

Keywords

  • cross-coupling
  • online inductance identification
  • permanent magnet synchronous motor (PMSM)
  • virtual axis injection

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