Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/32279
Title: An optimal design method for the minimization of cogging torques of a permanent magnet motor using FEM and genetic algorithm
Authors: Ho, SL 
Chen, N
Fu, WN 
Keywords: Cogging torque
Finite element method
Genetic algorithm
Magnetic field
Motor
Optimization
Permanent magnet
Issue Date: 2010
Publisher: Institute of Electrical and Electronics Engineers
Source: IEEE transactions on applied superconductivity, 2010, v. 20, no. 3, 5373894, p. 861-864 How to cite?
Journal: IEEE transactions on applied superconductivity 
Abstract: 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.
URI: http://hdl.handle.net/10397/32279
ISSN: 1051-8223
EISSN: 1558-2515
DOI: 10.1109/TASC.2009.2038717
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