• DocumentCode
    3603413
  • Title

    Asymmetrical V-Shape Rotor Configuration of an Interior Permanent Magnet Machine for Improving Torque Characteristics

  • Author

    Wu Ren ; Qiang Xu ; Qiong Li

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    51
  • Issue
    11
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The purpose of this paper is to present an asymmetrical V-shape rotor configuration of an interior permanent magnet (IPM) machine for improving the torque characteristics, i.e., reducing cogging torque and torque ripple. Using this rotor configuration, the great reduction of the cogging torque and the torque ripple can be achieved. To acquire more desired torque characteristics, an optimization design is implemented using hybrid genetic algorithm-Taguchi (HGAT). Time-stepping finite-element analysis is adopted to calculate the torque characteristics for comparison and analyses. The best set of design parameters is found out; and the IPM model optimized using the HGAT shows even better torque characteristics. An IPM machine prototype having HGAT-design parameters was manufactured for test, and the effectiveness of the proposed rotor is verified by comparison between the simulation and the experiment results.
  • Keywords
    finite element analysis; genetic algorithms; permanent magnet machines; rotors; torque; IPM machine prototype; asymmetrical V-shape rotor; cogging torque; hybrid genetic algorithm-Taguchi; interior permanent magnet machine; time-stepping finite-element analysis; torque ripple; Forging; Genetic algorithms; Integrated circuit modeling; Optimization; Rotors; Stators; Torque; Asymmetrical V-shape rotor configuration; Finite element analysis; Hybrid genetic algorithm-Taguchi; finite-element analysis (FEA); hybrid genetic algorithm-Taguchi (HGAT); interior permanent magnet (IPM) machine;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2015.2450931
  • Filename
    7138637