Commande non linéaire robuste d’un système éolien basé sur une génératrice asynchrone double étoile

Abstract

This doctoral thesis focuses on the robust nonlinear control of a wind energy system (WES) based on a dual-stator induction generator (DSIG). The research aims to optimize wind turbine (WT) performance by developing advanced control strategies to enhance power extraction and system stability. The study begins with an overview of WES, emphasizing the importance of efficient energy conversion. The mechanical modeling of the WT is presented, including aerodynamic equations, Betz’s law, and the maximum power point tracking (MPPT) strategy. The electrical modeling of the DSIG is also detailed, using vector control techniques such as field-oriented control (FOC) with proportional-integral (PI) controllers. To improve control efficiency, the thesis explores backstepping (BS) control, optimized using the subtraction-average-based optimizer (SABO). The results show that the optimized BS controller enhances stability, reduces tracking errors, and lowers total harmonic distortion (THD). Additionally, the study investigates sliding mode control (SMC) in its first, second, and high-order forms to minimize chattering effects and improve system robustness. The intelligent-in-time logic algorithm (ILA) is proposed for tuning the HOSMC controller, demonstrating superior transient and steady-state performance. Finally, the thesis validates the developed controllers using hardware-in-the-loop (HIL) testing on the RT-BOX1 platform, proving their effectiveness in real-time applications. The research advances wind energy systems by proposing adaptive and optimized control strategies, ensuring improved efficiency, reliability, and grid integration.