Title: Fuzzy logic MPPT control for a solar PV module applied to water pumping

Authors: Aldjia Lazizi; Mohamed Kesraoui; Ahmed Chaib

Addresses: Applied Automation Laboratory, University of Boumerdès, 35000 Boumerdès, Algeria ' Applied Automation Laboratory, University of Boumerdès, 35000 Boumerdès, Algeria ' Applied Automation Laboratory, University of Boumerdès, 35000 Boumerdès, Algeria

Abstract: In this paper, the fuzzy logic control for maximum power point tracking (MPPT) of a solar photovoltaic (PV) module in water pumping application is presented. A PV system including a solar module, a DC/DC boost converter, a fuzzy MPP tracker and a resistive load is modelled and simulated for various atmospheric conditions. The P-V and I-V characteristics are first obtained for various values of solar irradiation and temperature. Also, the increased efficiency of the photovoltaic system using MPPT is computed and plotted. The fuzzy control method is compared with the perturb and observe (P&O) method in one hand and with an improved P&O technique using artificial neural network (ANN) in the other. The fuzzy MPP tracker is then applied to the water pumping system composed of a solar panel, DC/DC boost converter, DC/AC inverter, induction motor and centrifugal pump.

Keywords: photovoltaic modules; DC-DC boost converters; maximum power point tracking; MPPT; fuzzy logic; perturb and observe; P&O; water pumps; pumping systems; fuzzy control; solar energy; solar power; artificial neural networks; ANNs; solar panels; induction motors; centrifugal pumps.

DOI: 10.1504/IJIED.2016.077676

International Journal of Industrial Electronics and Drives, 2016 Vol.3 No.1, pp.1 - 11

Received: 08 Apr 2016
Accepted: 23 May 2016
Published online: 12 Jul 2016 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article