• DocumentCode
    2046353
  • Title

    Self-tuning control of a switched reluctance motor drive with shaft position sensor

  • Author

    Tandon, Piyush ; Rajarathnam, Anandan Velayutham ; Ehsani, Mehrdad

  • Author_Institution
    Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
  • Volume
    1
  • fYear
    1996
  • fDate
    6-10 Oct 1996
  • Firstpage
    101
  • Abstract
    The control of the switched reluctance motor (SRM) is usually based on the inductance profiles as a function of position. This paper addresses the problem of obtaining optimal performance from an SRM in the presence of parameter variation which can alter the phase inductance profiles. The operation of an SRM drive in the controlled current mode from zero to base speed is considered. New self-tuning algorithms are presented which optimize the steady-state performance of the drive as measured by torque per ampere (TPA). Computer simulations are employed to show the existence and uniqueness of a solution to the optimal TPA problem. The application of the new control strategy is explained in the context of a speed controlled drive system. Experimental results are provided to demonstrate the validity of the self-tuning controller
  • Keywords
    electric current control; inductance; machine control; reluctance motor drives; self-adjusting systems; velocity control; computer simulation; controlled current mode; inductance profiles; optimal performance; phase inductance profiles; self-tuning algorithms; self-tuning control; shaft position sensor; steady-state performance; switched reluctance motor drive; torque per ampere; velocity control; Application software; Computer simulation; Control systems; Inductance; Optimal control; Reluctance machines; Reluctance motors; Shafts; Steady-state; Torque measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Conference, 1996. Thirty-First IAS Annual Meeting, IAS '96., Conference Record of the 1996 IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    0197-2618
  • Print_ISBN
    0-7803-3544-9
  • Type

    conf

  • DOI
    10.1109/IAS.1996.557003
  • Filename
    557003