B. Mohana, M. Gnanaveni, K.S. Rangasamy College of Technology, Namakkal, Tamilnadu, India.
DOI : 01.0401/ijaict.2014.08.08
International Journal of Advanced Information and Communication Technology
Received On : May 12, 2017
Revised On : June 15, 2017
Accepted On : July 11, 2017
Published On : August 05, 2017
Volume 04, Issue 08
Pages : 708-713
Abstract
This paper introduced a fuzzy logic controller (FLC) based CUK converter for maximum power point tracking (MPPT) of a photovoltaic(PV) system. The FLC projected that the Unsymmetrical membership function gives faster response than the symmetrically distributed membership functions. The fuzzy logic controller for the CUK MPPT scheme shows smooth change of current and no change (Constant) of Voltage in variable-load, represented in little steady state error and overshoot. As the inverter is used in a PV system, Fuzzy logic controller is employed forgetting sinusoidal wave output, higher dynamic performance under fast varying atmospheric conditions and reduced total harmonic distortion. The proposed scheme guarantee optimal use of photovoltaic (PV) array and proves its effectiveness invariable load conditions, at the load (Inverter) side. The performance of the converter is tested in MATLAB/Simulink.
Keywords
Maximum power point tracking (MPPT), Fuzzy logic controller (FLC), Perturb and observe (P&O), DC/DC CUK converter, Single phase H-bridge inverter.
Cite this article
B. Mohana, M. Gnanaveni, “Performance Improvement of Fuzzy Logic Controller based CUK Converter for Maximum Power Point Tracking” INTERNATIONAL JOURNAL OF ADVANCED INFORMATION AND COMMUNICATION TECHNOLOGY, pp.708-713, August 05, 2017.
Copyright
© 2017 B. Mohana, M. Gnanaveni. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.