This paper presents a comparative performance analysis of conventional Perturb and Observe (P&O) and fuzzy
logic–assisted P&O maximum power point tracking (MPPT) algorithms for grid-connected photovoltaic (PV) systems. Both
control strategies are developed and simulated in MATLAB/Simulink under varying irradiance and temperature conditions.
Simulation results indicate that the fuzzy logic–based P&O MPPT offers superior performance, characterized by a faster
dynamic response, significantly reduced oscillations around the maximum power point, and enhanced tracking efficiency
when compared to the conventional P&O approach. These advantages make the fuzzy logic–based P&O technique more
suitable for grid-connected PV applications.
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