Optimization of permanent magnet surface shapes of electric motors for minimization of cogging torque using FEM

Ningning Chen, Siu Lau Ho, Weinong Fu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

76 Citations (Scopus)

Abstract

A novel algorithm which minimizes the cogging torque of surface-mounted permanent magnet (SPM) brushless motors by optimizing the surface profile of PM is presented. An efficient strategy for using finite element method (FEM) is proposed to calculate the cogging torque of PM motors with different PM shape designs. Compared with the use of general FEM, the computing time with this proposed method is significantly reduced, which is only 0.017% of that required by the former. Because of the considerable reduction of computing time in the magnetic field analysis of PM motors, it becomes feasible to use genetic algorithm (GA) to optimize the PM shape in order to realize cogging torque minimization. A numerical experiment is used to validate the proposed method.
Original languageEnglish
Article number5467620
Pages (from-to)2478-2481
Number of pages4
JournalIEEE Transactions on Magnetics
Volume46
Issue number6
DOIs
Publication statusPublished - 1 Jun 2010

Keywords

  • Cogging torque
  • Finite element method
  • Genetic algorithm
  • Magnetic field
  • Optimization

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

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