• DocumentCode
    1839882
  • Title

    Model predictive control of a Doubly Fed Induction Generator with an Indirect Matrix Converter

  • Author

    Rivera, M. ; Elizondo, J.L. ; Macías, M.E. ; Probst, O.M. ; Micheloud, O.M. ; Rodriguez, J. ; Rojas, C. ; Wilson, A.

  • Author_Institution
    Univ. Tec. Federico Santa Maria, Valparaíso, Chile
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    2959
  • Lastpage
    2965
  • Abstract
    A simple and intuitive Doubly Fed Induction Generator (DFIG) predictive rotor current control scheme is presented. Predictive control of an Indirect Matrix Converter (IMC) is combined with predictive rotor current control of a DFIG to achieve a very good dynamic response as the rotor currents smoothly follow the applied reference in a ±30% range of the generator nominal rpm. Simulation results are presented for constant torque and rotational speed, as well as for variable rotational speed corresponding to a 10 kW generator dynamic response. Derivation and conjunction of each model equations are also presented along with a delay error compensation strategy to counter the practical implementation issue implicit in discrete time control computation.
  • Keywords
    asynchronous generators; compensation; discrete time systems; electric current control; machine control; matrix convertors; predictive control; constant torque; delay error compensation strategy; discrete time control computation; doubly fed induction generator; indirect matrix converter; model predictive control; power 10 kW; rotational speed; rotor current control scheme; Equations; Mathematical model; Predictive control; Predictive models; Rotors; Stators; Switches; Doubly Fed Induction Generator (DFIG); Indirect Matrix Converter (IMC); Model Predictive Control (MPC);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Glendale, AZ
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-5225-5
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2010.5674942
  • Filename
    5674942