• DocumentCode
    1053006
  • Title

    Robust backstepping vector control for the doubly fed induction motor

  • Author

    Drid, S. ; Tadjine, M. ; Naït-Saïd, M.S.

  • Author_Institution
    Univ. of Batna, Timgad
  • Volume
    1
  • Issue
    4
  • fYear
    2007
  • fDate
    7/1/2007 12:00:00 AM
  • Firstpage
    861
  • Lastpage
    868
  • Abstract
    A robust vector control intended for a doubly fed induction motor (DFIM) mode is considered. The state-all-flux induction machine model with a flux orientation constraint is replaced by a simpler control model. The double-flux orientation leads to orthogonality between the stator and rotor fluxes, resulting in a linear and decoupled machine control and an optimal developed torque. The inner flux controllers are designed using the Lyapunov linearisation approach. This flux control is exponentially stabilised independently of the speed. Associated with sliding-mode control, this solution shows good robustness with respect to parameter variations, measurement errors and noise. Finally, a speed controller is designed using two methods: the first with a PI controller and the second with the Lyapunov method associated with a backstepping procedure, especially employed for the unknown load torques. This second solution shows good robustness with respect to inertia variation and guarantees torque and speed tracking. The global asymptotic stability of the overall system is proven theoretically. The simulation and experimental results largely confirm the effectiveness of the proposed DFIM system control.
  • Keywords
    Lyapunov methods; PI control; asymptotic stability; control system synthesis; induction motors; machine control; robust control; Lyapunov method; PI controller; doubly fed induction motor; exponential stability; flux control; flux orientation constraint; global asymptotic stability; machine control; robust backstepping vector control; sliding-mode control; speed tracking; state-all-flux induction machine model; torque tracking;
  • fLanguage
    English
  • Journal_Title
    Control Theory & Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta:20060053
  • Filename
    4271390