Multi-Objective Optimization of the Iron Bridge between Segmeted PMs for an Outer-Rotor Brushless DC Motor

Han Zhao, He Zhang, Xiaochen Zhang, David Gerada, Jing Li, Jing Zhang

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

2 Citations (Scopus)

Abstract

To facilitate the processing, transportation and assembly of permanent magnet, a segmented PM design with positioning slots is proposed for an outer-rotor brushless DC motor in this article. First, the effect of the iron bridge between the segmented PMs on the motor performance is investigated by the method of finite element analysis. Further, a multi-objective optimization algorithm based on metamodel of optimal prognosis is employed to optimize the geometry of the iron bridge and the optimal solution is determined from the Pareto front by taking a tradeoff design between different objectives. After optimization, a detailed comparative analysis of the motor performance between initial and optimized design is carried out to verify the superiority of the optimized motor.
Original languageEnglish
Title of host publication2022 IEEE International Conference on Industrial Technology, ICIT 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728119489
DOIs
Publication statusPublished - 2022
Event2022 IEEE International Conference on Industrial Technology, ICIT 2022 - Shanghai, China
Duration: 22 Aug 202225 Aug 2022

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology
Volume2022-August

Conference

Conference2022 IEEE International Conference on Industrial Technology, ICIT 2022
Country/TerritoryChina
CityShanghai
Period22/08/2225/08/22

Keywords

  • average torque
  • iron bridge
  • multi-objective optimization (MOO)
  • Outer-rotor brushless DC (BLDC) motor
  • segmented permanent magnet (PM)
  • torque ripple

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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