• DocumentCode
    1213048
  • Title

    Experimental Investigations on Computer-Based Methods for Determination of Static Electromagnetic Characteristics of Switched Reluctance Motors

  • Author

    Gobbi, R. ; Sahoo, N.C. ; Vejian, R.

  • Author_Institution
    Fac. of Eng., Multimedia Univ., Cyberjaya
  • Volume
    57
  • Issue
    10
  • fYear
    2008
  • Firstpage
    2196
  • Lastpage
    2211
  • Abstract
    Because of the doubly salient structure of the switched reluctance motor (SRM) and its intentional operation in deep magnetic saturation for higher power density, its static electromagnetic characteristics are highly nonlinear functions of rotor position and phase current. This makes the accurate experimental measurement/determination of these characteristics a difficult task. This paper presents a comprehensive discussion and analysis on the different (most practiced) computer-based methods for the determination of these characteristics for a typical SRM. A digital signal processor (DSP)-based completely automated SRM drive system has been used for these studies. For all the offline computations, user-friendly MATLAB/Simulink-based models have been developed. The experimental methods, computational models, measurement results, and appropriate postmortem discussions for the determination of static flux linkage, inductance, and electromagnetic torque characteristics for an 8/6 four-phase SRM are reported.
  • Keywords
    electric machine analysis computing; reluctance motor drives; rotors; torque; DSP; MATLAB/Simulink models; SRM drives; computer-based methods; digital signal processor; electromagnetic torque characteristics; inductance; magnetic saturation; nonlinear functions; power density; rotor position; static electromagnetic characteristics; static flux linkage; switched reluctance motors; Flux linkage; inductance; measurement; switched reluctance motor (SRM); torque; uncertainty;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2008.922095
  • Filename
    4512347