Maximum power point tracking of photovoltaic array using fuzzy logic control

Djaafar Toumi (University of El-Qued)
Djilani Benattous (University of El-Qued)
Ahmed Ibrahim (National Research Tomsk Polytechnic University)
Bedida Tarek (Université Ahmed Draia)
Messaoud Zobeidi (University of EL-Oued)
Khelaifa Fethi (Larbi Ben M’hidi University)
Hicham Serhoud (University of EL-Oued)
Yacine Labbi (University of El-Qued)
Raef Aboelsaud (National Research Tomsk Polytechnic University)
Sergey Obukhov (National Research Tomsk Polytechnic University)
Mohamed Tayeb Boussabeur (University of El-Qued)

International Journal of Power Electronics and Drive Systems (IJPEDS)
Vol 13, No 4: December 2022

This research introduces the simulation of photovoltaic (PV) array to track the peak point (MPPT) using fuzzy logic control. Therefore, real time simulation is performed in MATLAB/Simulink based on a PV model, boost converter and fuzzy logic-based tracker. A comparative study is carried out against perturb and observe (P&O) controller. The fuzzy logic technique based tracker can successfully track the maximum power point very fast and has precise control when compared to the P&O algorithm. The overall we conclude that the MPPT using the fuzzy logic technique takes a fast response and can improve the performance of the PV system.