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    • ISSN: 1793-821X
    • Frequency: Quarterly (2013-2014); Bimonthly (Since 2015)
    • DOI: 10.18178/JOCET
    • Editor-in-Chief: Prof. Haider F. Abdul Amir
    • Executive Editor: Ms. Julia S. Ma
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School of Science and Technology Universiti Malaysia Sabah, Malaysia.
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JOCET 2013 Vol.1(1): 41-44 ISSN: 1793-821X
10.7763/JOCET.2013.V1.10

Type-2 Fuzzy Logic Approach of a Maximum Power Point Tracking Employing SEPIC Converter for Photovoltaic System

Ahmad H. El Khateb, Nasrudin Abd Rahim, and Jeyraj Selvaraj

Abstract—This paper introduces a type-2 fuzzy logic controller (FLC) as a maximum power point tracker (MPPT), which can handle the uncertainties of the rules under high variations in weather conditions. The MPPT employed single-ended primary-inductor (SEPIC) converter. The new controller improves maximum power tracker search method by rules fuzzifying. An accurate and fast converging to maximum power point is offered by type-2 fuzzy tracker during both steady-state and varying weather conditions compared to conventional fuzzy MPPT methods. The performance of the proposed maximum power point tracker is demonstrated in MATLAB simulation at different operating conditions.

Index Terms—Fuzzy logic controller (FLC), Maximum power point tracker (MPPT), Photovoltaic (PV).

The authors are with the UMPEDAC research center, University of Malaya, Kuala Lumpur, Malaysia (e-mail: akhateb84@hotmail.com;nasrudin@um.edu.my; jeyraj@um.edu.my).

[PDF]

Cite: Ahmad H. El Khateb, Nasrudin Abd Rahim, and Jeyraj Selvaraj, "Type-2 Fuzzy Logic Approach of a Maximum Power Point Tracking Employing SEPIC Converter for Photovoltaic System," Journal of Clean Energy Technologies vol. 1, no. 1, pp. 41-44, 2013.

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