The maximum power of a PV module varies due to changing temperature, solar radiation, and load. To maximize efficiency, PV systems use a maximum power point tracker (MPPT) to constantly extract the highest power that can be produced by a solar panel and then deliver it to the load. The MPPT finds and maintains operations at the maximum power point using a tracking algorithm during variations in weather conditions. to design and implement a maximum power point tracker that uses a fuzzy logic control algorithm. Because of the nonlinear behaviour of PV module current-voltage characteristics and the nonlinearity of DC-DC converters due to switching, conventional controllers are unable to provide the best response, especially when dealing with wide parameter variations and line transients. Fuzzy logic naturally provides a superior controller for this type of nonlinear application. An integrated model of the PV module with the Boost Converter is simulated in MATLAB to obtain the expertise required for the formulation and development of the fuzzy logic controller.
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