Open AccessImproved Vector Control of a Counter-Rotating Wind Turbine System Using Adaptive Backstepping Sliding Mode
Author(s) -
Adil Yahdou,
Abdelkadir Belhadj Djilali,
Zinelaabidine Boudjema,
Fayçal Mehedi
Publication year - 2020
Publication title -
journal européen des systèmes automatisés/journal européen des systèmes automaitsés
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.16
H-Index - 20
eISSN - 2116-7087
pISSN - 1269-6935
DOI - 10.18280/jesa.530507
Subject(s) - backstepping , control theory (sociology) , robustness (evolution) , parametric statistics , turbine , vector control , sliding mode control , lyapunov function , lyapunov stability , induction generator , computer science , doubly fed electric machine , control engineering , adaptive control , engineering , mathematics , nonlinear system , control (management) , physics , ac power , induction motor , voltage , artificial intelligence , chemistry , biochemistry , quantum mechanics , mechanical engineering , statistics , electrical engineering , gene
The vector control (VC) method based on proportional-integral (PI) controllers of a doubly fed induction generator (DFIG) integrated in a counter rotating wind turbine (CRWT) system have many problems, such as low dynamic performances, coupling effect between the d-q axes and weak robustness against variation parametric. In order to resolve these problems, this research work proposes an adaptive backstepping sliding mode (ABSM) controller. The proposed control strategy consists in using dynamic-gains that ensures a better result than a conventional VC method. Stability of the proposed ABSM control approach has been proved by the Lyapunov method. Simulation results depicted in this research paper have confirmed the good usefulness and effectiveness of the proposed ABSM control.