Improved Fuzzy Logic Controller Implemented on FPGA Circuit for Photovoltaic Systems
- 1 Cadi Ayyad University, Morocco
- 2 Royal School of Aeronautics, Morocco
Copyright: © 2020 Aouatif Ibnelouad, Abdeljalil Elkari, Hassan Ayad and Mostafa Mjahed. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
To be the photovoltaic arrays capable to transport the maximum power obtainable, it must be combined with Maximum Power Point Tracking (MPPT). To succeed, we will improve a Maximum Power Point Tracking (MPPT) method, based on intelligent technique such as Fuzzy Logic Controller (FLC), compared with a conventional method which is P&O. This improved method applied to a stand-alone photovoltaic system under loading conditions and atmospheric data (temperature and irradiance). The goal of this controller is to prove that the FLC is the best technique of MPPT to extract the maximum power of photovoltaic modules. The main objective of this work is the implementation on a “Cyclone II” circuit using “EP2C35F672C6” Development Board reconfigurable Field-Programmable Gate Array (FPGA) with Hardware Description Language (VHDL). Thus, we show the advantages of using the FPGA circuits, which are their short progress time, their low price and their suppleness of process. The close optimum design of this technique is based on the best choice membership functions and control rules for two- input, one-output digital Fuzzy Logic Controller (FLC) based on “Mamdani” mechanism. The simulation and implementation results obtained respectively with waveform under Quartus software and on Cyclone II, both show a satisfactory performance and confirm the good tracking efficacy and speedy response to various atmospheric conditions.
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- Photovoltaic (PV) System
- Field-Programmable Gate Array (FPGA)
- Maximum Power Point Tracking (MPPT)
- Fuzzy Logic Controller (FLC)
- Perturb and Observe (P&O)