• DocumentCode
    7379
  • Title

    Topology Optimization of Rotor Core Combined With Identification of Current Phase Angle in IPM Motor Using Multistep Genetic Algorithm

  • Author

    Okamoto, Yuji ; Tominaga, Yoriko ; Wakao, Shinji ; Sato, Seiki

  • Author_Institution
    Dept. of Electr. & Electron. Syst. Eng., Utsunomiya Univ., Utsunomiya, Japan
  • Volume
    50
  • Issue
    2
  • fYear
    2014
  • fDate
    Feb. 2014
  • Firstpage
    725
  • Lastpage
    728
  • Abstract
    This paper derives an effective shape of the flux barrier in an interior permanent magnet (IPM) motor. IPM motors generally have many design parameters such as the current phase angle, shape of the rotor and stator´s iron core, and shape and position of the magnet. The flux barrier plays an important role in controlling torque characteristics. We apply topology optimization (TO) to the rotor core using a multistep genetic algorithm to determine an effective flux barrier. Furthermore, we extend the TO to combinatorial optimization for considering its effect on the current phase angle. Thus, a reasonable flux barrier with an optimal phase angle is determined.
  • Keywords
    combinatorial mathematics; design engineering; genetic algorithms; magnetic flux; permanent magnet motors; rotors; stators; topology; torque; IPM motor; TO; combinatorial optimization; current phase angle; effective flux barrier shape; interior permanent magnet motor; multistep genetic algorithm; optimal phase angle; rotor core; rotor shape; stator iron core; topology optimization; torque characteristic control; Genetic algorithms; Magnetic cores; Optimization; Permanent magnet motors; Rotors; Topology; Torque; Flux barrier; genetic algorithm (GA); interior permanent magnet (IPM) motor; multistep scheme; parallel computing;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2013.2285580
  • Filename
    6749018