This paper’s goal is to create a Maximum Power Point Tracker (MPPT). Due to population increase, new industrial development, and other factors, power demand has been steadily increasing. In PV systems, the maximum power point tracking system (MPPT) is critical for increasing solar cell efficiency. Many ways for generating MPPT from PV modules under various weather circumstances have been presented. This study used the Fuzzy Logic Control (FLC) algorithm to come up with a clever approach for maximum power point tracking. The error between the real power and the estimated maximum power is minimized using the fuzzy logic technique. The PV system is put to the test under varying levels of sun irradiance and temperature. The simulation findings reveal that the maximum power tracker could precisely and successfully track the maximum power in all scenarios evaluated, and the system performance was examined. With the help of Matlab/Simulink the FLC-based MPPT controller for the PV module is modeled.

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