Maximum Power Point Tracking (MPPT) using Fuzzy Logic

This paper presents a fuzzy logic control (FLC)-based maximum power point tracking (MPPT) system for photovoltaic (PV) applications implemented using an ESP32 micro-controller and a mobile-based monitoring interface. The proposed method utilizes fuzzy logic to regulate the incremental current in the MPPT algorithm, enabling efficient power extraction under varying environmental conditions. Due to fluctuations in solar irradiance and temperature, PV systems exhibit nonlinear characteristics, reducing the effectiveness of conventional techniques. The ESP32 is used for processing and real-time data transmission, while a mobile application is developed to display system parameters such as voltage, current, and power. In the absence of hardware, system outputs are simulated and transmitted to the mobile interface for visualization. The FLC-based approach improves convergence speed, minimizes oscillations around the maximum power point, and enhances overall efficiency. The results demonstrate that the proposed system provides an effective, low-cost, and user-friendly solution for real-time monitoring and optimization of solar energy systems.