Intelligent Control of a Photovoltaic Pumping System

Authors

  • A. Elgharbi Laboratory of Application of Energy, Efficiency and Renewable Energies, Tunis El Manar University, Tunisia
  • D. Mezghani Laboratory of Application of Energy, Efficiency and Renewable Energies, Tunis El Manar University, Tunisia
  • A. Mami Laboratory of Application of Energy, Efficiency and Renewable Energies, Tunis El Manar University, Tunisia
Volume: 9 | Issue: 5 | Pages: 4689-4694 | October 2019 | https://doi.org/10.48084/etasr.2982

Abstract

This paper presents the application of the Adaptive Neuro Fuzzy Inference System (ANFIS) to track the maximum power of a photovoltaic generator that feeds a motor-pump group unit through a Pulse Width Modulation (PWM) inverter powered by a Single Ended Primary Inductance Converter (SEPIC) installed in the laboratory. The ANFIS control is trained in different temperatures and irradiances and the maximum power point tracking system varies automatically the duty cycle of the SEPIC converter. The performance of the MPPT controller is tested in simulations in Matlab/Simulink.

Keywords:

PV pumping system, MPPT, SEPIC, ANFIS

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References

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How to Cite

[1]
A. Elgharbi, D. Mezghani, and A. Mami, “Intelligent Control of a Photovoltaic Pumping System”, Eng. Technol. Appl. Sci. Res., vol. 9, no. 5, pp. 4689–4694, Oct. 2019.

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