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Browse Journals & Magazines > Magnetics, IEEE Transactions ...> Volume:38 Issue:3 Help

Multiobjective optimization method based on a genetic algorithm for switched reluctance motor design

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4 Author(s)
Mirzaeian, B. ; Dept. of Electr. Eng., Isfahan Univ. of Technol., Iran ; Moallem, M. ; Tahani, V. ; Lucas, C.

In this paper, a novel multiobjective optimization method based on a genetic-fuzzy algorithm (GFA) is proposed. The new GFA method is used for optimal design of a switched reluctance motor (SRM) with two objective functions: high efficiency and low torque ripple. The results of the optimal design for an 8/6, four-phase, 4 kW, 250 V, 1500 r.p.m. SRM show improvement in both efficiency and torque ripple of the motor

Published in:
Magnetics, IEEE Transactions on  (Volume:38 ,  Issue: 3 )

Date of Publication: May 2002

Page(s):
1524 - 1527
ISSN :
0018-9464
INSPEC Accession Number:
7265219
Digital Object Identifier :
10.1109/20.999126
Product Type:
Journals & Magazines
Date of Current Version :
07 August 2002
Issue Date :
May 2002
Sponsored by :
IEEE Magnetics Society

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