An optimal design method for the minimization of cogging torques of a permanent magnet motor using FEM and genetic algorithm

Siu Lau Ho, Ningning Chen, Weinong Fu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

28 Citations (Scopus)


Uneven distribution of permanent magnets (PM) is an effective way to minimize the cogging torques of PM motors. In this paper a novel and efficient finite element method (FEM) is proposed to calculate the cogging torque of PM motors when the PM distribution is uneven. With the proposed algorithm, the computing time required to solving the cogging torque problem is significantly reduced to only 0.06% of that required by using general FEM. Because of the significant reduction in computing time on performance computation of PM motors, it now becomes feasible to use genetic algorithm (GA) to optimize the distribution of the PMs and hence minimizing the cogging torque of the motor.
Original languageEnglish
Article number5373894
Pages (from-to)861-864
Number of pages4
JournalIEEE Transactions on Applied Superconductivity
Issue number3
Publication statusPublished - 1 Jun 2010


  • Cogging torque
  • Finite element method
  • Genetic algorithm
  • Magnetic field
  • Motor
  • Optimization
  • Permanent magnet

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Condensed Matter Physics
  • Electronic, Optical and Magnetic Materials

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