The MPPT controllers are used in photovoltaic system to make full utilization of PV array output power. The output power of a photovoltaic module depends on the solar irradiance and the operating temperature, therefore it is necessary to apply maximum power point tracking controllers (MPPT) to obtain the maximum power of a PV system regardless of variation in climatic conditions. The traditional solution for MPPT controllers is the perturbation and observation (P&O) algorithm, which presents oscillations around the operating point. This work provides a theoretical study of the P&O maximum power point tracking technique, using fuzzy logic controller applied to the standalone PV system. With conventional P&O algorithm it is impossible to satisfy both performance and good accuracy under irradiance and temperature changing. To get rid of these limitations, P&O based fuzzy logic controller is used. The output of the MPPT controller is given to a PWM modulator, the output of PWM modulator is given to the DC-DC boost converter to generate maximum power from the PV system. The detailed modeling is then simulated step by step using MATLAB/Simulink software due to its frequent use and its effectiveness
