• 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