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Simulation and Real Implementation of the Fuzzy MPPT Algorithm for Photovoltaic Panel


  • University of Tunis EL Manar, Faculty of Sciences of Tunis, UR17ES1, LR-11-ES20, Analysis, Conception and Control Systems Laboratory-ENIT, BP 37, 1002 Tunis, Tunisia
  • University of Picardie Jules Verne (UPJV), 33 rue Saint Leu, 80039 Amiens Cedex 1, France


Objectives: The objective of this study deals with the optimization of extracting the ultimate power from a PV panel by means of the fuzzy-MPPT algorithm. Methods/Statistical Analysis: The methodological framework, in this paper, is based on a fuzzy logic controller which tracks the maximum power from a boost-based PV system. This approach is used to enhance its dynamic response under varying irradiations and temperature conditions. Numerical simulations and practical experiments results are carried out to highlight the tracking control performance and the advantages of the fuzzy- MPPT compared to a P&O as one of the most widely conventional methods. The fuzzy logic strategy provides better and reliable control for this application under different variations on climatic conditions. Findings: The findings achieved are experimental tests showed that for the same weather conditions; the produced PV power by the P&O-MPPT algorithm is 14% less than the power produced when the fuzzy algorithm is used.


DC-DC Boost Converter, dSPACE1104, Fuzzy Logic Controller (FLC), Maximum Power Point Tracking (MPPT), MATLAB/Simulink, Photovoltaic (PV)

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