Influence du choix des régulateurs floues sur les performances dynamiques et le rendement d’un hacheur DC alimenté par une source photovoltaïque

Abstract

This 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).