• DocumentCode
    826282
  • Title

    Correlation of modeling techniques and power factor for switched-reluctance machines drives

  • Author

    Xue, X.D. ; Cheng, K.W.E. ; Ho, S.L.

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech. Univ., Kowloon, China
  • Volume
    152
  • Issue
    3
  • fYear
    2005
  • fDate
    5/6/2005 12:00:00 AM
  • Firstpage
    710
  • Lastpage
    722
  • Abstract
    The paper summarises the authors´ reported and ongoing research on both modelling and on sensorless control and power-factor improvement of switched-reluctance-machine (SRM) drives. The paper presents four models of SRMs: the piecewise-interpolation model using a two-dimensional (2-D) bicubic spline, an analytical model based on the 2-D least-squares technique, a cross hybrid model based on the 2-D bicubic and 2-D bilinear splines, and the coupling model taking account of mutual coupling. These four models are validated by simulations and experiments. An estimation scheme of the initial rotor position at standstill and a sensorless control scheme at low and high speeds are also developed. In addition, the authors have studied the effect of the control and output parameters on power factor in SRM drives. Consequently, a new control strategy and two real-time schemes for improving the power factor have been developed.
  • Keywords
    correlation methods; electric drives; electric machine analysis computing; interpolation; least mean squares methods; machine control; power factor correction; reluctance machines; rotors; splines (mathematics); 2-D bilinear splines; 2-D least-squares technique; SRM; analytical model; control strategy; correlation; cross hybrid model; modeling techniques; mutual coupling; piecewise-interpolation model; power factor; power-factor improvement; real-time schemes; rotor position; sensorless control; switched-reluctance machine drives; two-dimensional bicubic spline;
  • fLanguage
    English
  • Journal_Title
    Electric Power Applications, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-2352
  • Type

    jour

  • DOI
    10.1049/ip-epa:20049005
  • Filename
    1436197