• DocumentCode
    2856412
  • Title

    Permanent Magnet Machine Design Practice and Optimization

  • Author

    Ouyang, Wen ; Zarko, Damir ; Lipo, T.A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Wisconsin-Madison Univ., Madison, WI
  • Volume
    4
  • fYear
    2006
  • fDate
    8-12 Oct. 2006
  • Firstpage
    1905
  • Lastpage
    1911
  • Abstract
    The complexity of the permanent magnet (PM) machine structure makes the optimal design of the PM machine always a difficult task. The multiple objectives of an optimal design make most classic optimization algorithms inapplicable, due to the nonlinearity and some discontinous variables. In this paper, two interior permanent magnet (IPM) machine design practices with modular stator structure and conventional stator structure are discussed. The design process is directly coupled with finite-element analysis (FEA) with the machine design guidelines embedded in the optimization process. Multivariable optimization methods based on Monte Carlo and differential evolution algorithms are applied in the design phase and the results are compared in this paper
  • Keywords
    Monte Carlo methods; evolutionary computation; finite element analysis; optimisation; permanent magnet machines; stators; Monte Carlo algorithms; PM machine structure; conventional stator structure; differential evolution algorithms; finite-element analysis; interior permanent magnet machine; machine design guidelines; modular stator structure; multivariable optimization methods; optimization algorithms; Algorithm design and analysis; Design optimization; Finite element methods; Guidelines; Magnetic analysis; Optimization methods; Permanent magnet machines; Permanent magnets; Process design; Stators; Design Optimization; Differential Evolution (DE); FEA; Permanent Magnet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 2006. 41st IAS Annual Meeting. Conference Record of the 2006 IEEE
  • Conference_Location
    Tampa, FL
  • ISSN
    0197-2618
  • Print_ISBN
    1-4244-0364-2
  • Electronic_ISBN
    0197-2618
  • Type

    conf

  • DOI
    10.1109/IAS.2006.256796
  • Filename
    4025484