A Review of Permanent Magnet Synchronous Motor Parameter Identification Research

Yapeng Yang, Guoyuan Zhang, Yang Zhou, Bo Chen, Rui Ma, Zihao Li

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

6 Scopus citations

Abstract

With the advantages of light weight, small size, simple structure, high efficiency, and high power density, permanent magnet synchronous motors have become the main choice of major new energy vehicle enterprises. However, under complex vehicle driving conditions, the electromagnetic parameters of permanent magnet synchronous motors change due to temperature changes, cross-coupling effects, and magnetic saturation of the core, which affect the performance of the motor control system. Therefore, fast and accurate identification of motor electromagnetic parameters is required to ensure the performance and reliability of the motor control system. By summarizing the literature, this paper analyzes the reasons for electromagnetic parameter transformation, compares the advantages and disadvantages of various electromagnetic parameter identification algorithms, points out the potential future development direction of identification algorithms, and provides ideas for future research on parameter identification algorithms.

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
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

  • Artificial intelligence algorithms
  • Extended Kalman filter algorithm
  • Model reference adaptive method
  • Parameter identification
  • Permanent magnet synchronous motor
  • Recursive least squares

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