The conventional MPPT techniques face challenges in accurately tracking the maximum power point (MPP) under varying environmental conditions and load characteristics. This research proposes an enhancement to the MPPT method by incorporating fuzzy logic control, aiming to improve the overall performance and robustness of the system [1]. By employing fuzzy logic in the MPPT algorithm, the system can effectively handle the uncertainties and non-linearities associated with PV systems. The proposed method takes advantage of the fuzzy logic controller to adjust the operating conditions of the PV system, optimizing the power extraction process and achieving better performance. The research involves the development of a fuzzy logic-based MPPT algorithm, where the input parameters such as solar irradiance, temperature, and voltage are fuzzified to linguistic variables. The fuzzy rules define the relationship between these variables, guiding the control actions. The algorithm continuously updates and adjusts the duty cycle of the power converter to ensure that the PV system operates at its MPP.