• DocumentCode
    1341228
  • Title

    A self-tuning controller for switched reluctance motors

  • Author

    Russa, K. ; Husain, I. ; Elbuluk, M.E.

  • Author_Institution
    Johnson Controls Inc., Holland, MI, USA
  • Volume
    15
  • Issue
    3
  • fYear
    2000
  • fDate
    5/1/2000 12:00:00 AM
  • Firstpage
    545
  • Lastpage
    552
  • Abstract
    A self-tuning controller for switched reluctance motors is presented, A torque ripple minimizing controller is implemented with online system identification and adaptation technique. The controller uses a nonlinear model of the machine that is updated online using a recursive identification algorithm. The real-time approach improves the overall robustness of the system. Experimental results are presented to validate the self-tuning algorithm.
  • Keywords
    control system synthesis; identification; machine control; machine testing; machine theory; reluctance motors; robust control; self-adjusting systems; torque control; adaptation technique; nonlinear model; online system identification; real-time approach; recursive identification algorithm; robustness; self-tuning controller; switched reluctance motors; torque ripple minimizing controller; Couplings; Current measurement; Equations; Reluctance machines; Rotors; Stators; System identification; Taylor series; Torque control; Voltage control;
  • fLanguage
    English
  • Journal_Title
    Power Electronics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0885-8993
  • Type

    jour

  • DOI
    10.1109/63.844515
  • Filename
    844515