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Type-2 Fuzzy Logic Approach of a Maximum Power Point Tracking Employing SEPIC Converter for Photovoltaic System

This paper introduces a type-2 fuzzy logic controller (FLC) as a maximum power point tracker (MPPT), which can handle the uncertainties of the rules under high variations in weather conditions. The MPPT employed single-ended primary-inductor (SEPIC) converter. The new controller improves maximum power tracker search method by rules fuzzifying. An accurate and fast converging to maximum power point is offered by type-2 fuzzy tracker during both steady-state and varying weather conditions compared to conventional fuzzy MPPT methods. The performance of the proposed maximum power point tracker is demonstrated in MATLAB simulation at different operating conditions.