The output power of a photovoltaic (PV) module depends on the solar irradiance and\nthe operating temperature; therefore, it is necessary to implement maximum power point tracking\ncontrollers (MPPT) to obtain the maximum power of a PV system regardless of variations in climatic\nconditions. The traditional solution for MPPT controllers is the perturbation and observation (P&O)\nalgorithm, which presents oscillation problems around the operating point; the reason why improving\nthe results obtained with this algorithm has become an important goal to reach for researchers.\nThis paper presents the design and modeling of a fuzzy controller for tracking the maximum power\npoint of a PV System. Matlab/Simulink (MathWorks, Natick, MA, USA) was used for the modeling of\nthe components of a 65 W PV system: PV module, buck converter and fuzzy controller; highlighting\nas main novelty the use of a mathematical model for the PV module, which, unlike diode based\nmodels, only needs to calculate the curve fitting parameter. A P&O controller to compare the results\nobtained with the fuzzy control was designed. The simulation results demonstrated the superiority\nof the fuzzy controller in terms of settling time, power loss and oscillations at the operating point.
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