ANN and Fuzzy Logic-Based MPPT Algorithm for High-Gain Converters in Solar Applications

Due to fluctuating environmental conditions such as solar irradiance and temperature, photovoltaic (PV) systems have difficulties in maintaining maximum output power and stable voltage. Traditional MPPT methods like Perturb and Observe and Incremental Conductance often face challenges in maintaining tracking accuracy and minimizing steady-state oscillations. In this paper, Artificial Neural Network and Fuzzy logic-based Maximum PowerPoint Tracking is implemented for a high-gain DC-DC converter-based PV system. MATLAB/Simulink environment is used to simulate the proposed system. This system offers the advantages of faster response, stable MPPT operation, high gain, and low component count. This work emphasizes feasibility of ANN and Fuzzy based MPPT integrated with High-gain converter that could withstand complex environmental conditions to enhance the performance of solar PV systems.