Design optimization and comparative analysis of dual-stator flux-modulated machines

Qingsong Wang, Shuangxia Niu

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

1 Citation (Scopus)

Abstract

This paper quantitatively compares three types of dual-stator flux-modulated (FM) permanent-magnet (PM) machines. Due to the dual-stator topology, these three machines can maximize their use of inner cavity space and achieve higher energy transmission than that of the single-stator one. Also, the flux-modulation feature can be exploited to produce the gear effect, so as to realize high torque at low speed. Depending on their PM locations, the three newly designed flux-modulated machines are referred as (i) stator-rotor PM machine, (ii) rotor PM machine, and (iii) stator PM machine. They run on similar principles, but each of them have their own merits. As different machines have different characteristics, one needs to understand the strength and shortcomings of different machines in order to identify the most suitable machine to better meet the practical industrial requirements. All the machines are optimized designed using GA algorithm. The electromagnetic performances are analyzed and compared using time-stepping finite element method (TS-FEM).
Original languageEnglish
Title of host publicationIEEE CEFC 2016 - 17th Biennial Conference on Electromagnetic Field Computation
PublisherIEEE
ISBN (Electronic)9781509010325
DOIs
Publication statusPublished - 12 Jan 2017
Event17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016 - Hotel Hilton Miami Downtown, Miami, United States
Duration: 13 Nov 201616 Nov 2016

Conference

Conference17th Biennial IEEE Conference on Electromagnetic Field Computation, IEEE CEFC 2016
Country/TerritoryUnited States
CityMiami
Period13/11/1616/11/16

Keywords

  • Dual-stator
  • Finite element method
  • Flux-modulated
  • Permanent magnet

ASJC Scopus subject areas

  • Computational Mathematics
  • Instrumentation
  • Electrical and Electronic Engineering

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