DESAIN SISTEM MPPT MENGGUNAKAN FLYBACK CONVERTER BERBASIS FUZZY

Maximum Power Point Tracking (MPPT) is a control technique aimed at maximizing the power output of photovoltaic (PV) panels by ensuring operation at the optimal power point. This study proposes an MPPT design employing a Flyback Converter enhanced with an LC Filter and governed by a Fuzzy Logic Controller (FLC). The Flyback Converter was selected for its galvanically coupled inductors, which function as a switching mechanism, and its high efficiency in low-to-medium power applications. By integrating an LC Filter, the system is expected to mitigate output ripple and enhance overall power quality. The control strategy dynamically adjusts the converter’s duty cycle in response to fluctuations in ouput coltage and current, thereby maintaining optimal performance. The system was modeled and simulated using MATLAB Simulink, with performance evaluated by comparing the proposed FLC-based controller to a conventional Perturb & Observe (P&O) method. Simulation results demonstrate that the FLC-based system achieves superior dynamic response, improved voltage and current stability, and significantly higher power conversion efficiency­97% compared to 82% with the P&O method. Furthermore, the incorporation of the LC filter effectively surpresses overshoot and contributes to enhanced system stability.