Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31820
Title: Optimization of permanent magnet surface shapes of electric motors for minimization of cogging torque using FEM
Authors: Chen, N
Ho, SL 
Fu, WN 
Keywords: Cogging torque
Finite element method
Genetic algorithm
Magnetic field
Optimization
Issue Date: 2010
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on magnetics, 2010, v. 46, no. 6, 5467620, p. 2478-2481 How to cite?
Journal: IEEE transactions on magnetics 
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.
URI: http://hdl.handle.net/10397/31820
ISSN: 0018-9464
EISSN: 1941-0069
DOI: 10.1109/TMAG.2010.2044764
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

50
Last Week
0
Last month
0
Citations as of May 11, 2018

WEB OF SCIENCETM
Citations

45
Last Week
0
Last month
0
Citations as of May 25, 2018

Page view(s)

65
Last Week
0
Last month
Citations as of May 21, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.