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Review of Inductance Identification Methods Considering Inverter Nonlinearity for PMSM

  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • King's College London

Research output: Contribution to journalReview articlepeer-review

Abstract

Permanent magnet synchronous motors (PMSMs) are widely used in high-power-density and flexible control methods. Generally, the inductance changes significantly in real-time machine operations because of magnetic saturation and coupling effects. Therefore, the identification of inductance is crucial for PMSM control. Existing inductance identification methods are primarily based on the voltage source inverter (VSI), making inverter nonlinearity one of the main error sources in inductance identification. To improve the accuracy of inductance identification, it is necessary to compensate for the inverter nonlinearity effect. In this study, an overview of the PMSM inductance identification and the related inverter nonlinearity self-learning methods are presented.

Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalChinese Journal of Electrical Engineering
Volume10
Issue number2
DOIs
StatePublished - Jun 2024
Externally publishedYes

Keywords

  • Inductance identification
  • inverter nonlinearity self-learning
  • permanent magnet synchronous motor

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