Comparison of Fuzzy and Neuro-Fuzzy Controllers for Maximum Power Point Tracking of Photovoltaic Modules

Authors

  • Jemaa AYMEN Author
  • Zarrad ONS Author
  • Aurelian CRĂCIUNESCU Author
  • Mihai POPESCU Author

DOI:

https://doi.org/10.24084/repqj14.465

Keywords:

Photovoltaic Module, MPPT, Fuzzy Logic Controller, Neuro Fuzzy Logic Controller, Matlab/Simulink models

Abstract

The paper make a comparison among 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 neuro-fuzzy control method. Both techniques have been simulated and analyzed by using Matlab/Simulink software. The power transitions at varying irradiation and temperature conditions are observed and the power tracking time realized by the fuzzy logic controller against the neuro fuzzy logic controller has been evaluated.

Author Biographies

  • Jemaa AYMEN

    L’école Nationale d’ingénieurs de Monastir 
    Université de Monastir 
    Monastir, Tunisia 

  • Zarrad ONS

    L’école Nationale d’ingénieurs de Monastir 
    Université de Monastir 
    Monastir, Tunisia 

  • Aurelian CRĂCIUNESCU

    Electrical Engineering Faculty 
    University Politehnica of Bucharest 
    Bucharest, Romania

  • Mihai POPESCU

    Electrical Engineering Faculty 
    University Politehnica of Bucharest 
    Bucharest, Romania 

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Published

2024-01-16

Issue

Vol. 14 No. 6 (2016)

Section

Articles