This research endeavors to meet the escalating demand for power posed by population growth and industrial expansion. The focus is on the development of a Maximum Power Point Tracker (MPPT) within the context of photovoltaic (PV) systems. Acknowledging the pivotal role of an efficient MPPT system in optimizing solar cell operation, this study introduces a novel approach that employs the Fuzzy Logic Control (FLC) algorithm. The proposed FLC-based MPPT controller aims to minimize the error between actual power output and estimated maximum power through the utilization of fuzzy logic techniques. Through comprehensive evaluations conducted under varying solar irradiance and temperature levels, simulation results illustrate the efficacy and accuracy of the FLC-based MPPT controller in effectively tracking maximum power across diverse scenarios. The paper also encompasses a detailed modeling of the FLC-based MPPT controller for the PV module, implemented using MATLAB/SIMULINK. Keywords: Energy, Fuzzy logic controller, Maximum power point tracking (MPPT), Photovoltaic system, MATLAB Simulink.

Energy, Fuzzy logic controller ,Maximum power point tracking MPPT , Photovoltaic system , MATLAB Simulink.