Modelling the flux-linkage in permanent magnet synchronous machines

Luis Ayala, Albert Schwinn, David Moule, Ralph Kennel

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

4 Scopus citations

Abstract

Neglecting magnetic saturation and cross-coupling effects in permanent magnet synchronous machines (PMSM), reduces the accuracy of tasks such as online parameter estimation, machine control and machine performance predictions. Taylor's theorem for multi-variable functions is used to express the direct-axis and quadrature-axis flux-linkages as power series in the PMSM model presented in this paper. Therefore, the model can be extended to a n-degree polynomial, where n determines how accurately the saturation and cross-coupling effects are represented in the model. In addition, the identification of the model coefficients is formulated as an optimization problem that can be solved using quadratic programming. The proposed identification method is applied to data obtained from finite element simulations and measurements. Furthermore, for measured data, the method is extended to identify the machines winding resistance.

Original languageEnglish
Title of host publication2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages112-118
Number of pages7
ISBN (Electronic)9781538693490
DOIs
StatePublished - May 2019
Event11th IEEE International Electric Machines and Drives Conference, IEMDC 2019 - San Diego, United States
Duration: 12 May 201915 May 2019

Publication series

Name2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019

Conference

Conference11th IEEE International Electric Machines and Drives Conference, IEMDC 2019
Country/TerritoryUnited States
CitySan Diego
Period12/05/1915/05/19

Keywords

  • PMSM model
  • Parameter identification

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