Research Article Open Access

Improved Fuzzy Logic Controller Implemented on FPGA Circuit for Photovoltaic Systems

Aouatif Ibnelouad1, Abdeljalil Elkari1, Hassan Ayad1 and Mostafa Mjahed2
  • 1 Cadi Ayyad University, Morocco
  • 2 Royal School of Aeronautics, Morocco
Journal of Computer Science
Volume 16 No. 5, 2020, 671-685

DOI: https://doi.org/10.3844/jcssp.2020.671.685

Submitted On: 1 March 2020 Published On: 5 June 2020

How to Cite: Ibnelouad, A., Elkari, A., Ayad, H. & Mjahed, M. (2020). Improved Fuzzy Logic Controller Implemented on FPGA Circuit for Photovoltaic Systems. Journal of Computer Science, 16(5), 671-685. https://doi.org/10.3844/jcssp.2020.671.685

Abstract

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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Keywords

  • Photovoltaic (PV) System
  • Field-Programmable Gate Array (FPGA)
  • Maximum Power Point Tracking (MPPT)
  • Fuzzy Logic Controller (FLC)
  • Perturb and Observe (P&O)