E3S Web Conf.
Volume 22, 2017International Conference on Advances in Energy Systems and Environmental Engineering (ASEE17)
|Number of page(s)||9|
|Published online||07 November 2017|
Using a coupled inductor controlled by fuzzy logic to improve the efficiency of a Buck converter in a PV system
LSMF laboratory, University of Laghouat,BP 37G, Ghardaia Road, Laghouat 03000, Algeria
2 LDCCP Laboratory, E N P,10 avenue H. Badi BP 182 El Harrach Algiers, Algeria
3 MIS Laboratory. University of Picardie Jul. Verne,33 rue Saint Leu., 80039, Amiens Cedex1, France
* Corresponding author: email@example.com
Photovoltaic generators (PVG) produce a variable power according to the solar radiation (G) and temperature (T). This variation affects the sizing of the components of DC / DC converters, powered by such PVG, and make it difficult. The effects may differ from one component to another. The main and critical one is presented by the inductor, the element that stores the energy during sampled periods. We propose in this work an auto-adaptation of these inductor values to maintain optimal performance of the power yield of these converters. Our idea is to replace the inductor by a coupled inductor where this adjustment is made by the addition of an adjustable electric field in the magnetic core. Low current intensities come from the PVG supply the second inductor of the coupled inductor through a circuit controlled by a fuzzy controller (FC). The whole system is modeled and simulated under MATLAB/SIMULINK for the control part of the system and under PSPICE for the power part of the system. The obtained results show good performances of the proposed converter over the standard one.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
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