Reluctance network model of permanent magnet synchronous motor considering magnetic hysteresis behavior

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

Quantitative analysis of iron loss taking magnetic hysteresis behavior into account is essential to development of high-efficiency electric machines. In a previous paper, a novel magnetic circuit model incorporating a play model, which is one of the phenomenological models of magnetic hysteresis, was proposed. It was clear that the proposed model can calculate the hysteresis loop of the magnetic reactor with high-speed and high-accuracy. However, this method was applied only for the objects with simple shapes such as a ring core. Thus, it is necessary to extend the applicable range for devices with more complicated shapes such as electric motors. This paper describes that the play model is applied to reluctance network analysis (RNA) by using a permanent magnet (PM) motor as an object of discussion, in order to estimate the iron loss including magnetic hysteresis behavior.

Original languageEnglish
Title of host publication2018 IEEE International Magnetic Conference, INTERMAG 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538664254
DOIs
Publication statusPublished - 2018 Oct 24
Event2018 IEEE International Magnetic Conference, INTERMAG 2018 - Singapore, Singapore
Duration: 2018 Apr 232018 Apr 27

Publication series

Name2018 IEEE International Magnetic Conference, INTERMAG 2018

Other

Other2018 IEEE International Magnetic Conference, INTERMAG 2018
Country/TerritorySingapore
CitySingapore
Period18/4/2318/4/27

Keywords

  • Landau-Lifshitz-Gilbert (LLG) equation
  • Play model
  • Reluctance network analysis (RNA)
  • Surface permanent magnet (SPM) motor

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Instrumentation

Fingerprint

Dive into the research topics of 'Reluctance network model of permanent magnet synchronous motor considering magnetic hysteresis behavior'. Together they form a unique fingerprint.

Cite this