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DOI: 10.14569/IJARAI.2012.010303
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Fuzzy Controller Design Using FPGA for Photovoltaic Maximum Power Point Tracking

Author 1: Basil M Hamed
Author 2: Mohammed S. El-Moghany

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 1 Issue 3, 2012.

  • Abstract and Keywords
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Abstract: The cell has optimum operating point to be able to get maximum power. To obtain Maximum Power from photovoltaic array, photovoltaic power system usually requires Maximum Power Point Tracking (MPPT) controller. This paper provides a small power photovoltaic control system based on fuzzy control with FPGA technology design and implementation for MPPT. The system composed of photovoltaic module, buck converter and the fuzzy logic controller implemented on FPGA for controlling on/off time of MOSFET switch of a buck converter. The proposed maximum power point tracking controller for photovoltaic system is tested using model designed by Matlab/Simulink program with graphical user interface (GUI) for entering the parameters of any array model using information from its datasheet, Simulation and experimental results show that performance of the fuzzy controller with FPGA in a maximum power tracking of a photovoltaic array can be made use of in several photovoltaic products and obtain satisfied result.

Keywords: Fuzzy Control; MPPT; Photovoltaic System; FPGA.

Basil M Hamed and Mohammed S. El-Moghany, “Fuzzy Controller Design Using FPGA for Photovoltaic Maximum Power Point Tracking” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 1(3), 2012. http://dx.doi.org/10.14569/IJARAI.2012.010303

@article{Hamed2012,
title = {Fuzzy Controller Design Using FPGA for Photovoltaic Maximum Power Point Tracking},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2012.010303},
url = {http://dx.doi.org/10.14569/IJARAI.2012.010303},
year = {2012},
publisher = {The Science and Information Organization},
volume = {1},
number = {3},
author = {Basil M Hamed and Mohammed S. El-Moghany}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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