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

Ningning Chen; Siu Lau Ho; Weinong Fu

doi:10.1109/TMAG.2010.2044764

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

Ningning Chen, Siu Lau Ho, Weinong Fu

The Hong Kong Polytechnic University

Research output: Journal article publication › Journal article › Academic research › peer-review

88 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 language	English
Article number	5467620
Pages (from-to)	2478-2481
Number of pages	4
Journal	IEEE Transactions on Magnetics
Volume	46
Issue number	6
DOIs	https://doi.org/10.1109/TMAG.2010.2044764
Publication status	Published - 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

More information

10.1109/TMAG.2010.2044764

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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.",

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N2 - 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.

AB - 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.

KW - Cogging torque

KW - Finite element method

KW - Genetic algorithm

KW - Magnetic field

KW - Optimization

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

Abstract

Keywords

ASJC Scopus subject areas

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