Analytical Modeling of a Six-Phase Bearingless Synchronous Reluctance Machine Using Winding Function Theory

Firdausa Ahmed*, Floran Martin, Nirangkush Das, Marko Hinkkanen

*Corresponding author for this work

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

Abstract

This paper presents a modeling framework for bearingless synchronous reluctance machines that are equipped with a six-phase stator winding. The six-phase combined winding can be used to produce both electromagnetic torque and radial forces. Vector-space decomposition (or generalized space-vector transformation) and winding function theory are applied in the presented framework. To exemplify these concepts, a conceptual machine is studied by means of analytical expressions and by finite-element analysis. The presented framework can be used to develop dynamic models for other multiphase bearingless machines as well. Resulting dynamic models can be used in time-domain simulations and in development of real-time control algorithms.

Original languageEnglish
Title of host publication2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023
PublisherIEEE
Pages3892-3898
Number of pages7
ISBN (Electronic)979-8-3503-1644-5
DOIs
Publication statusPublished - 29 Dec 2023
MoE publication typeA4 Conference publication
EventIEEE Energy Conversion Congress and Exposition - Nashville, United States
Duration: 29 Oct 20232 Nov 2023

Publication series

Name2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

Conference

ConferenceIEEE Energy Conversion Congress and Exposition
Abbreviated titleECCE
Country/TerritoryUnited States
CityNashville
Period29/10/202302/11/2023

Keywords

  • Bearingless
  • integrated force actuator
  • multi-phase machines
  • radial forces
  • self-bearing
  • synchronous reluctance motors

Fingerprint

Dive into the research topics of 'Analytical Modeling of a Six-Phase Bearingless Synchronous Reluctance Machine Using Winding Function Theory'. Together they form a unique fingerprint.

Cite this