• DocumentCode
    52893
  • Title

    Multistatic Reluctance Network Modeling for the Design of Permanent-Magnet Synchronous Machines

  • Author

    Dogan, Halit ; Garbuio, Lauric ; Nguyen-Xuan, Hao ; Delinchant, Benoit ; Foggia, Albert ; Wurtz, Frederic

  • Author_Institution
    Grenoble Electr. Eng. Lab. (G2Elab), Grenoble INP-UJF, St. Martin d´Hères, France
  • Volume
    49
  • Issue
    5
  • fYear
    2013
  • fDate
    May-13
  • Firstpage
    2347
  • Lastpage
    2350
  • Abstract
    This paper deals with an original design methodology of permanent-magnet synchronous machines using multistatic reluctance-network (RN) modeling. Traditionally, RN models are based on using d -q axis components in order to calculate the fundamental values of the torque and the back-electromotive force (emf). In this study, the RN permits an angular rotation between the rotor and stator to thereby extract the magnitude of the harmonics which are necessary for better optimization results. Besides, three different methods of calculation of the air-gap reluctances are presented and applied to the RN. Then, simulation results are compared to finite-element analysis (FEA) in order to finally determine the best method. Ultimately, the proposed model shows precise and very fast results making it suitable for geometry optimization and to help designers obtain a better sense of machine behavior.
  • Keywords
    electric potential; machine insulation; optimisation; permanent magnet machines; reluctance machines; stators; RN modeling; air-gap reluctances; angular rotation; back-electromotive force; d-q axis components; geometry optimization; machine behavior; multistatic reluctance network; permanent-magnet synchronous machines; rotor; stator; Back-electromotive force (emf); harmonics; permanent-magnet synchronous machine (PMSM); reluctance network (RN); torque ripple;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2013.2243426
  • Filename
    6514755