Comparison of Fuzzy and Neural Networks Controller for MPPT of Photovoltaic Modules

  • Aouatif Ibnelouad
  • Abdeljalil El Kari
  • Hassan Ayad
  • Mostafa Mjahed
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 37)

Abstract

The present paper proposes a comparison between two control methods for maximum power point tracking (MPPT) of a photovoltaic (PV) system under varying irradiation and temperature conditions: the fuzzy control method and the neural networks control method. The results of simulation obtained have been developed and analyzed by using Matlab/Simulink software for the both techniques have. The power transitions at varying irradiation and temperature conditions are observed and the power tracking time appreciated by the neural networks controller against the fuzzy logic controller has been evaluated.

Keywords

MPPT Photovoltaic module Neural networks controller Fuzzy logic controller Matlab/Simulink models 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Aouatif Ibnelouad
    • 1
  • Abdeljalil El Kari
    • 1
  • Hassan Ayad
    • 1
  • Mostafa Mjahed
    • 2
  1. 1.Faculty of Sciences and TechnologiesMarrakechMorocco
  2. 2.Department of Mathematics and SystemsRoyal School of AeronauticsMarrakechMorocco

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