Design of fuzzy controller for MPPT of solar photovoltaic system

In this work, Fuzzy logic controller (FLC) is proposed for solar photovoltaic (SPV) system. The models consist of PV array, step up converter, load and fuzzy logic controller to manage the duty cycle of step up converter. Maximum Power point tracker (MPPT) technique is applied to get utmost output power in SPV system. The entire model is considered and validated in MATLAB. The conventional tracking method like Perturb and Observe (P&O) is compared with intelligence method such as Artificial Neural Network (ANN), FLC. The obtained result shows that the proposed FLC is performed well to obtain the optimum power in considered system compared to P&O and ANN. The usefulness of the numerous MPPT and the suggested scheme is validated by simulation study.