Fast Maximum Torque Per Ampere Control of IPMSM Using Auto-Optimisation Method

  • Yuefei Zuo
  • , Jun Yang
  • , Antonios Pezouvanis
  • , James Mcgeary
  • , Wen Hua Chen

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper introduces a auto-optimization method for fast maximum torque per ampere (MTPA) control of the interior permanent magnet synchronous motor (IPMSM). The proposed method identifies the permanent magnet flux and the difference between the inductance of the d - and q-axis according to the observed torque, and then the optimal d-axis current can be calculated using the two parameters identified. Compared to those methods based on the extremum seeking algorithm, this method has better dynamic performance when speed or load vary. The proposed method is validated by simulations.

Original languageEnglish
Title of host publicationProceedings of the 43rd Chinese Control Conference, CCC 2024 (28-31 July 2024)
EditorsJing Na, Jian Sun
PublisherIEEE Computer Society
Pages6246-6251
Number of pages6
ISBN (Electronic)9789887581581
DOIs
Publication statusPublished - Jul 2024
Event43rd Chinese Control Conference, CCC 2024 - Kunming, China
Duration: 28 Jul 202431 Jul 2024

Conference

Conference43rd Chinese Control Conference, CCC 2024
Country/TerritoryChina
CityKunming
Period28/07/2431/07/24

ASJC Scopus subject areas

  • Computer Science Applications
  • Control and Systems Engineering
  • Applied Mathematics
  • Modelling and Simulation

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