COMPARATIVE PERFORMANCE ANALYSIS OF THE FUZZY LOGIC AND INCREMENTAL CONDUCTANCE MPPT TECHNIQUE IN RAPIDLY CHANGING IRRADIANCE CONDITIONS

This paper presents a comparative evaluation of two Maximum Power Point Tracking (MPPT) techniques, Fuzzy Logic (FL) and Incremental Conductance (INC), under varying irradiance conditions. providing a cross-comparison between a soft-computing-based FL controller and the traditional INC method in order to highlight performance differences between intelligent and conventional MPPT strategies. The analysis is conducted over a very short time interval of 1 second, allowing the dynamic response of each controller to be assessed under a sudden and abrupt change in solar irradiance , with the objective of improving photovoltaic (PV) energy extraction and reducing power loss. Both controllers were designed and tested in MATLAB/Simulink using a single-diode PV module model. Simulation results show that the FL controller achieves faster dynamic response and lower steady-state oscillation than the INC technique, particularly under rapidly changing irradiance. In addition to performance analysis, the study assesses the practical feasibility of