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
fDate :
3/1/2009 12:00:00 AM
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;
Journal_Title :
Magnetics, IEEE Transactions on
DOI :
10.1109/TMAG.2009.2012694