BENZINA FatimaBELMEKKI Asma2026-09-072026-09-072026https://dspace.univ-temouchent.edu.dz/handle/123456789/7470This work presents the study and control of a variable-speed wind energy system based on a 10 Kw Doubly Fed Induction Generator (DFIG). The main objective is to improve wind power extraction using the Maximum Power Point Tracking (MPPT) technique in order to ensure optimal turbine operation despite variations in wind speed. Two control techniques were studied, namely : MPPT control using a conventional Proportional-Integral controller (PI controller) and MPPT control using an intelligent Fuzzy Logic controller. The first method ensures reference speed tracking with a simple structure, while the fuzzy control provides better performance in terms of response speed, stability, and robustness against disturbances. This study highlights the importance of intelligent control techniques in improving the performance of variable-speed wind energy systems.frMPPTDFIGWind EnergyVariable SpeedFuzzy Logic ControllerPI Controller.Thesis