BOUKRA AbderahimMEDDAH ChakerATTOU Amine2026-10-012026-10-012026https://dspace.univ-temouchent.edu.dz/handle/123456789/7709This study investigates the impact of fuzzy controller selection on the performance of a Boost converter in a photovoltaic system. The global system was modeled and simulated under MATLAB/Simulink across various irradiance levels. A comparative analysis was conducted between Mamdani and Takagi-Sugeno (TSK) fuzzy inference models, evaluating Triangular and Trapezoidal membership functions based on a reduced 3-rule matrix. These intelligent controllers were also compared with the conventional Perturb and Observe (P&O) method. Simulation results show that while the classic P&O method suffers from severe steady-state oscillations and slow convergence, fuzzy logic control completely eliminates these oscillations. Ultimately, the Triangular Sugeno configuration proved to be the optimal solution, offering an ultra-fast, overshoot-free response to abrupt climatic variations, while ensuring maximum efficiency and stable Maximum Power Point Tracking (MPPT).frPhotovoltaic systemBoost converterFuzzy Logic Control (FLC)MamdaniTakagi-Sugeno (TSK)MPPTPerturb and Observe (P&O)MATLAB/Simulink.Thesis