Khelaifa Fethi
Larbi Ben M’hidi University

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Maximum power point tracking of photovoltaic array using fuzzy logic control Djaafar Toumi; Djilani Benattous; Ahmed Ibrahim; Bedida Tarek; Messaoud Zobeidi; Khelaifa Fethi; Hicham Serhoud; Yacine Labbi; Raef Aboelsaud; Sergey Obukhov; Mohamed Tayeb Boussabeur
International Journal of Power Electronics and Drive Systems (IJPEDS) Vol 13, No 4: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijpeds.v13.i4.pp2440-2449

Abstract

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.