Paper Title
ADVANCED CONTROL OF A CHARGE REGULATOR FOR AUTONOMOUS PHOTOVOLTAIC SOLAR SYSTEM

Abstract
In the context of the solar era and the challenges of energy autonomy, this study focuses on the design and optimization of an advanced control system for a charge regulator in standalone photovoltaic systems. By combining creativity and precision, we aim to efficiently harness solar energy while ensuring battery longevity and optimal energy management. Our approach employs advanced control algorithms, including fuzzy logic and PI regulation, to enhance the control of standalone photovoltaic systems. We implemented simulations using MATLAB/Simulink to compare the performance of these algorithms. The results show that the fuzzy logic-based controller improves response speed and energy efficiency compared to the PI regulator. Specifically, the simulations were conducted using a buck DC/DC converter and a battery as the load. Performance was measured in terms of dynamic response speed and energy efficiency. The fuzzy logic controller demonstrated a 25% reduction in response time and a 15% improvement in energy efficiency compared to the PI regulator, thus proving its superiority for this application. These results highlight the potential of fuzzy logic to optimize standalone photovoltaic systems by offering more efficient solar energy management and better battery protection. This research paves the way for more efficient and sustainable energy solutions for a brighter energy future. Keywords - autonomous photovoltaic system, controller, PI regulation, Buck converter, fuzzy logic