• DocumentCode
    1817474
  • Title

    Precise analytical modelling magnetic characteristics of switched reluctance motor drives using two-dimensional least squares

  • Author

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

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech. Univ., Kowloon, China
  • Volume
    1
  • fYear
    2003
  • fDate
    15-19 June 2003
  • Firstpage
    416
  • Abstract
    The precise analytical modeling magnetic characteristics in the switched reluctance motors is presented in this study, based on the two-dimensional least squares. The proposed precise modeling is the analytical expression with respect to both the rotor position and the current. The coefficients in the expression are determined by the two dimensional least squares method. The derivations of the modelling are described in detail. Furthermore, the effect of the degree number of the fitting polynomials on the fitting errors is discussed. The fitting curves from the proposed modelling are fully in agreement with ones from the experiment. It validates the proposed modelling. This study is very helpful for accurate prediction of performance, simulation, torque control, as well as sensorless control of the switched reluctance motor drives.
  • Keywords
    curve fitting; least squares approximations; machine control; machine theory; polynomials; reluctance motor drives; rotors; torque control; current; fitting curves; fitting errors; fitting polynomials; magnetic characteristics; rotor position; sensorless control; switched reluctance motor drives; torque control; two-dimensional least squares; Analytical models; Curve fitting; Least squares methods; Magnetic analysis; Magnetic switching; Polynomials; Predictive models; Reluctance motors; Rotors; Torque control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics Specialist Conference, 2003. PESC '03. 2003 IEEE 34th Annual
  • ISSN
    0275-9306
  • Print_ISBN
    0-7803-7754-0
  • Type

    conf

  • DOI
    10.1109/PESC.2003.1218328
  • Filename
    1218328