Design and Analysis of Novel Dual-Sided Variable Flux Switching Linear Reluctance Machine

Zhenghao Li, Shuangxia Niu, Weinong Fu, Feifan Ni

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

Abstract

To further enhance the output thrust force of the linear machine, a dual-sided variable-flux-switching linear machine (DS-VFS-LM) with toroidal-winding configuration is proposed. The main contribution of this paper is that the operation principle of the machine is designed as flux-switching machine with unbiased flux to further relieve the saturation issue and improve output force capability. With special slot-pole combination and winding configuration design, it is proved that the output thrust performance of the machine is effectively enhanced, whose thrust density reach 150kN/m3, which is a relatively high value in terms of variable flux linear reluctance machine.

Original languageEnglish
Title of host publicationAdvanced Control and Intelligent Computing Applications - 8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024, Proceedings
EditorsChen Peng, Yulong Wang, Qing Sun, Zhi Chen, Yajian Zhang, Yanpeng Guan
PublisherSpringer Science and Business Media Deutschland GmbH
Pages362-373
Number of pages12
ISBN (Print)9789819602933
DOIs
Publication statusPublished - Dec 2024
Event8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024 - Suzhou, China
Duration: 13 Sept 202415 Sept 2024

Publication series

NameCommunications in Computer and Information Science
Volume2219 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference8th International Conference on Life System Modeling and Simulation, LSMS 2024 and 8th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2024
Country/TerritoryChina
CitySuzhou
Period13/09/2415/09/24

Keywords

  • Linear Reluctance Machine
  • Long Stroke Application
  • Variable Flux

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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