• DocumentCode
    1776779
  • Title

    Lower gain adaptive Sliding Mode Control of DFIG stator powers

  • Author

    Djoudi, A. ; Chekireb, H. ; Bacha, S. ; Berouk, E.M.

  • Author_Institution
    Centre de Dev. des Energies Renouvelables, Bouzaréah, Algeria
  • fYear
    2014
  • fDate
    24-25 Sept. 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    We propose in the present paper a lower gain adaptive Sliding Mode Control (SMC) method, of Doubly Fed Induction Generator (DFIG) stator powers. This allows eliminating some problems caused by high gain SMC. The main idea is to put the DFIG model under state space presentation using as states the stator and rotor currents with rotor speed. Using Euler method, the DFIG model can be rewritten as ARMA model, which used to online identification of DFIG resistances and inductances based on Recursive Least Square (RLS) algorithm and Low-Pass Filter (LPF). These identified parameters are used to calculate the stator power control law. In this case, we demonstrated using Lyapunov function that a lower gain satisfied to achieve the control objectives. The viability of our approach is verified by simulation results in the case of DFIG rating at 1.5 MW.
  • Keywords
    adaptive control; asynchronous generators; least squares approximations; machine control; power control; stators; variable structure systems; ARMA model; DFIG stator powers; Euler method; doubly fed induction generator stator power; low pass filter; lower gain adaptive sliding mode control; power 1.5 MW; recursive least square algorithm; rotor current; rotor speed; stator current; ARMA Model; Doubly Fed Induction Generator (DFIG); Low-Pass Filter (LPF); Recursive Least Square Algorithm (RLS); Sliding Mode Control;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Renewable Power Generation Conference (RPG 2014), 3rd
  • Conference_Location
    Naples
  • Type

    conf

  • DOI
    10.1049/cp.2014.0887
  • Filename
    6993280