• DocumentCode
    2928638
  • Title

    Inherent FCS-Model predictive torque control for induction machine without Encoder

  • Author

    Wang, Fengxiang ; Stolze, Peter ; Kennel, Ralph ; Davari, S. Alireza ; Khaburi, Davood A.

  • Author_Institution
    Inst. of Electr. Drives Syst. & Power Electron., Tech. Univ. of Munich, Munich, Germany
  • fYear
    2012
  • fDate
    20-22 June 2012
  • Firstpage
    1069
  • Lastpage
    1072
  • Abstract
    In this paper, an inherent finite control set model predictive torque control for induction machine without Encoder is proposed. With this inherent method, the model predictive controller is designed as speed-independent. For the estimation of the stator flux, the reduced order observer is applied. In this way, predictive torque controller and observer are not dependent on the speed. The influence brought by speed error is eliminated. The cost function is built to select the best switching vector for voltage source inverter. All possible inverter switching vectors are taken into calculation. The vector which minimizes the cost function is selected. The process and results are presented in the paper to verify the proposed strategy.
  • Keywords
    asynchronous machines; invertors; machine control; magnetic flux; predictive control; stators; torque control; cost function; induction machine; inherent FCS-model predictive torque control; inherent finite control set model; inverter switching vector; predictive torque controller design; speed error elimination; stator flux estimation; voltage source inverter; Induction machines; Mathematical model; Observers; Stator windings; Torque; Torque control; induction machine; model predictive torque control; observer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2012 International Symposium on
  • Conference_Location
    Sorrento
  • Print_ISBN
    978-1-4673-1299-8
  • Type

    conf

  • DOI
    10.1109/SPEEDAM.2012.6264424
  • Filename
    6264424