TY - JOUR ID - 73155 TI - A New Implementation of Maximum Power Point Tracking Based on Fuzzy Logic Algorithm for Solar Photovoltaic System JO - International Journal of Engineering JA - IJE LA - en SN - 1025-2495 AU - Boutabba, T AU - Drid, S AU - Chrifi-Alaoui, L AU - Benbouzid, M. E AD - University of Batna2, Moustaphe Benboulaid, Laboratoire LSPIE, Anevue Med Elhadi Boukhlouf, Algeria AD - University of Picardie Jules Verne, LTI, 13 av F. Mitterrand, Cuffies, France AD - University of Brest, EA 4325 LBMS Rue de Kergoat, France Y1 - 2018 PY - 2018 VL - 31 IS - 4 SP - 580 EP - 587 KW - Photovoltaic KW - DC KW - DC Converter KW - Boost KW - Modelisation KW - Fuzzy logic DO - N2 - In this paper, we present a modeling and implementation of new control schemes for an isolated photovoltaic (PV) using a fuzzy logic controller (FLC). The PV system is connected to a load through a DC-DC boost converter. The FLC controller provides the appropriate duty cycle (D) to the DC-DC converter for the PV system to generate maximum power. Using FLC controller block in MATLABTM/Simulink environment simplifies its implementation. However, all the parameters of the FLC blocks are not accessible and can not be modified without redesigning it each time, causing the loss of considerable time to control our system. To avoid these drawbacks and to simplify both the access and the plot of all blocks, a modelisation of FLC membership’s functions has become a necessity. The simulation and experimental tests on a PV system show that the FLC provides a good tracking of the maximum power point (MPPT). Finally, we have evaluated the operation of the FLC on a real system consisting of a photovoltaic panel (BP580) model and have implemented the control strategy on a digital signal processor dSPACE DS1104. UR - https://www.ije.ir/article_73155.html L1 - https://www.ije.ir/article_73155_72f1838b729165fb52c5c39011adf806.pdf ER -