Litcius/Paper detail

Improved Vector Control of a Counter-Rotating Wind Turbine System Using Adaptive Backstepping Sliding Mode

Adil Yahdou, Abdelkadir Belhadj Djilali, Zinelaabidine Boudjema, Fayçal Mehedi

2020Journal Européen des Systèmes Automatisés20 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

BacksteppingControl theory (sociology)Robustness (evolution)Parametric statisticsTurbineVector controlSliding mode controlLyapunov functionLyapunov stabilityInduction generatorComputer scienceDoubly fed electric machineControl engineeringAdaptive controlEngineeringMathematicsNonlinear systemControl (management)PhysicsAC powerInduction motorVoltageMechanical engineeringElectrical engineeringGeneQuantum mechanicsChemistryArtificial intelligenceBiochemistryStatisticsWind Turbine Control SystemsMicrogrid Control and OptimizationPower Systems and Renewable Energy