DocumentCode
1176106
Title
Multi-Objective Optimization Applied to the Matching of a Specified Torque-Speed Curve for an Internal Permanent Magnet Motor
Author
Ray, Subhasis ; Lowther, David A.
Author_Institution
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC
Volume
45
Issue
3
fYear
2009
fDate
3/1/2009 12:00:00 AM
Firstpage
1518
Lastpage
1521
Abstract
Traditionally, the objective function used for optimizing the design of an internal permanent magnet motor (IPM) has maximized efficiency or torque for a particular current or volume. Creating a particular torque speed curve can be considered to be a multi-objective problem and would usually be expressed in terms of a single objective by minimizing the average error over the curve. In this paper, it is proposed to treat this directly as a multi-objective problem thus allowing the designer to decide which tradeoffs in the torque-speed performance are most acceptable after the analysis has been performed rather than before. Additionally, a new variant of a multi-objective evolutionary algorithm using mixed elitism, intended for this problem, is described.
Keywords
genetic algorithms; permanent magnet motors; torque; genetic algorithms; internal permanent magnet motor; multiobjective evolutionary algorithm; multiobjective optimization methods; torque-speed curve; Genetic algorithms; optimization methods; permanent magnet motors;
fLanguage
English
Journal_Title
Magnetics, IEEE Transactions on
Publisher
ieee
ISSN
0018-9464
Type
jour
DOI
10.1109/TMAG.2009.2012694
Filename
4787321
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