• DocumentCode
    2178514
  • Title

    Hybrid control of the two-phase induction machine

  • Author

    Bouhoune, K. ; Yazid, K. ; Boucherit, M.S.

  • Author_Institution
    Power & Ind. Syst. Lab., Univ. of the Sci. & Technol. Houari Boumediene, Algiers, Algeria
  • fYear
    2012
  • fDate
    2-5 Sept. 2012
  • Firstpage
    973
  • Lastpage
    979
  • Abstract
    The control proposed in this paper is based on a hybrid approach; combines the performances of the controls which are based on the tools of the artificial intelligence (neural networks and fuzzy logic) applied to control the two-phase induction motor supplied by voltage source inverter. The application of this approach to the two-phase induction machine is a contribution to the study of this machine. Indeed, this type of machine has not yet taken its whole share from various works present until now, compared to the three-phase induction machine. The simulation results show the feasibility and good performance obtained by the proposed control.
  • Keywords
    asynchronous machines; fuzzy control; invertors; machine control; neurocontrollers; artificial intelligence; fuzzy logic; hybrid control; neural networks; three-phase induction machine; two-phase induction machine; voltage source inverter; Induction machines; Rotors; Stator windings; Torque; Windings; Zirconium; Artificial intelligence techniques; control system; fuzzy logic; hybrid control; induction machine; neural networks; static converter; two-phase induction machine; two-phase inverter; vector control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Machines (ICEM), 2012 XXth International Conference on
  • Conference_Location
    Marseille
  • Print_ISBN
    978-1-4673-0143-5
  • Electronic_ISBN
    978-1-4673-0141-1
  • Type

    conf

  • DOI
    10.1109/ICElMach.2012.6349994
  • Filename
    6349994