• DocumentCode
    482310
  • Title

    Finite element method analysis of the electromagnetic field of Brushless Doubly-Fed Machine

  • Author

    Deng, Xianming ; Tang, Guojun ; Zhang, Haizhong ; Zhang, Xiao

  • Author_Institution
    Sch. of Inf. & Electr. Eng., China Univ. of Min.&Technol., Xuzhou
  • fYear
    2008
  • fDate
    17-20 Oct. 2008
  • Firstpage
    346
  • Lastpage
    350
  • Abstract
    At present, structure design and performance optimization are the key points in the study of brushless doubly-fed machine (BDFM). By using ANSYS software, the finite element method (FEM) models of BDFM were established. These models have different rotor structures that are reluctance rotor with magnetic barriers, cage rotor with nested shorted-circuit windings, reluctance rotor with salient poles, and reluctance rotor with salient poles and shorted-circuit windings. As for the BDFMs of different rotor structures, the distribution of magnetic flux lines and the harmonic contents of air-gap magnetic flux were deserved by the calculation and analysis with finite element method, and the magnetic modulation effect was reflected directly, which lay the foundation for BDFM structure optimizing design.
  • Keywords
    air gaps; brushless machines; electromagnetic fields; finite element analysis; machine windings; magnetic flux; rotors; ANSYS software; air-gap magnetic flux; brushless doubly-fed machine; cage rotor; electromagnetic field; finite element method analysis; magnetic barriers; magnetic flux line distribution; magnetic modulation effect; reluctance rotor; rotor structures; salient poles; shorted-circuit windings; structure optimization design; Electromagnetic analysis; Electromagnetic fields; Finite element methods; Machine windings; Magnetic analysis; Magnetic circuits; Magnetic fields; Magnetic flux; Stator cores; Stator windings;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3826-6
  • Electronic_ISBN
    978-7-5062-9221-4
  • Type

    conf

  • Filename
    4770714