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A Novel Permanent Magnet Synchronous Machines with Improved Magnetic Field Characteristics and Performance Analysis

  • Xiaoyu Liang
  • , Yuhong Zheng
  • , Mingqiao Wang*
  • , Yong Liu*
  • , Ping Zheng
  • , Wei Liu
  • , Minghao Wang
  • *Corresponding author for this work
  • School of Electrical Engineering and Automation, Harbin Institute of Technology

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

Abstract

Under conventional design methods, the stator, rotor and other components of the machine have uneven saturation due to the armature reaction, which is not conducive to further improving machine performance. By analyzing the distribution characteristics of the synthesized magnetic field of the machine, the specific principles and effects of the influence of armature magnetic field on different areas of the machine were obtained. The improved machine design methods considering armature reaction has been proposed to address the above-mentioned issues for different areas. Based on theoretical analysis and finite element analysis (FEA), the effect and their reasons for the improved design of different areas of machine were analyzed about torque quality.

Original languageEnglish
Title of host publication2024 27th International Conference on Electrical Machines and Systems, ICEMS 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1399-1403
Number of pages5
ISBN (Electronic)9784886864406
DOIs
StatePublished - 2024
Externally publishedYes
Event27th International Conference on Electrical Machines and Systems, ICEMS 2024 - Fukuoka, Japan
Duration: 26 Nov 202429 Nov 2024

Publication series

Name2024 27th International Conference on Electrical Machines and Systems, ICEMS 2024

Conference

Conference27th International Conference on Electrical Machines and Systems, ICEMS 2024
Country/TerritoryJapan
CityFukuoka
Period26/11/2429/11/24

Keywords

  • Armature Reaction
  • Asymmetric Structure
  • Finite Element Analysis (FEA)
  • Improved Design Method

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