International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 8 - Issue 1, January 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Simulation Of A SEPIC DC-DC Converter Using Perturb And Observe And Fuzzy Logic Control

[Full Text]



Goshwe, N.Y, Igwue G.A, Kureve, D.T.



Perturb and Observe, Fuzzy Logic Controller, SEPIC, Photo-voltaic (PV) system, Irradiance and Temperature



Perturb and observe (P & O) and fuzzy logic (FLC) controller based techniques for switching a single-ended primary-inductor (SEPIC) converter for harvesting power from a photo-voltaic (PV) panel is presented. The techniques are compared at varying irradiances of 1000, 900, 700 and 500 W/m2 and varying temperatures of 30, 25, 20 and 18 degrees respectively. The results show that the SEPIC converter using P &O and FLC has a maximum voltage output of 58.76 V and 58.70 V; The Solar power output is maximum at 407.8 W and 400.7 W for irradiance of 1000 W/m2 at 18oC respectively. The converter output voltage using P & O has oscillations which are eliminated using the fuzzy logic controller.



[1]. Alajmi B. N., K. H. Ahmed, S. J. Finney, and B. W. Williams, (2011). “Fuzzy-logic-control approach of amodified hill-climbing method for maximum power point in micro-grid standalone photovoltaic system,”IEEE Trans, Power Electronics, vol. 26, no. 4, pp. 1022-1030.

[2]. MummadVeerachary, (2005). “Power tracking for nonlinear PV sources with coupled inductor SEPIC converter,” IEEE Trans, vol. 41, no.3.

[3]. Theodoros L. Kottas, Yiannis S. Bourlis, Athanasios D. Karlis, (2006). “New maximum power point tracking for PV arrays using Fuzzy controller in close cooperation with Fuzzy cognitive networks,” IEEE Trans vol. 21, no. 3.

[4]. M. Singh and A. Chandra, (2011) ”Application of adaptive network-basedfuzzy inference system for sensorless control of PMSG-based wind turbine with nonlinear-load compensation capabilities,” IEEE Trans,Power Electronics, vol. 26, no. 1, pp. 165-175.

[5]. Tsai-Fu Wu, Chien-Hsuanchang and Yu-kai Chen, (2000). “A fuzzy logic controlled single-stage converter for PV powered lighting system applications,” IEEE Trans vol. 47, no. 2.

[6]. Farahat, M.A., Metwally, H.M.B., Mohamed, A.A.-E., 2012. “Optimal choice and design of different topologies of DC–DC converter used in PV systems, at different climatic conditions in Egypt”, Renewable Energy 43, pp. 393–402.

[7]. Wei X. and H. Jing, (2010).“MPPT for PV system based on a novel fuzzycontrol strategy”, International Conference on Digital Manufacturing& Automation (ICDMA), pp. 960 – 963.

[8]. Abouobaida, H., Cherkaoui, M., 2011.”Robust controller for interleaved DC–DC converters and buck inverter in grid-connected photovoltaic systems”, WSEAS Transactions on Power Systems 6 (1), pp. 21–30.

[9]. Kottas T. L., Y. S. Boutalis, and A. D. Karlis, (2006). “New maximum power point tracker for PV arrays using fuzzy controller in close cooperation with fuzzy cognitive networks,”IEEE Trans, Energy Convers., vol. 21, no. 3, pp. 793–803.

[10]. Bouchafaa F., D. Beriber, and M. S. Boucherit, (2010). “Modeling andsimulation of a gird connected PV generation system With MPPTfuzzy logic control,” 7th International Multi-Conference on Systems,Signals and Devices (SSD), pp. 1-7.

[11]. Won C. Y., D. H. Kim, S. C. Kim, W. S. Kim, and H. S. Kim, (1994). “A newmaximum power point tracker of photovoltaic arrays using fuzzycontroller,” IEEE 25th Annu, Power Electron. Spec. Conf., vol. 1, pp. 396–403.

[12]. Vrashali Jadhav and Ravindrakumar M.Nagarale, (2016). “Maximum Power Point Tracking of PV System Based on a SEPIC Converter Using Fuzzy Logic Controller”, Int. Journal of Engineering Research and Applications (www.ijera.com), Vol. 6, Issue 1, (Part -5), pp. 59 – 64