Single input fuzzy controller (SFLC) based maximum power point tracking

Author

Al Nabulsi, Ahmad ; Dhaouadi, Rached ; Rehman, Habib-ur

Author_Institution

Coll. of Eng., American Univ. of Sharjah Sharjah, Sharjah, United Arab Emirates

fYear

2011

fDate

19-21 April 2011

Firstpage

1

Lastpage

5

Abstract

This paper presents a single input fuzzy controller (SFLC) for adjusting the duty cycle of a photovoltaic (PV) charger to extract the maximum power out of a PV panel. The algorithm is based on maximum power point tracking (MPPT) and is compared with two conventional MPPT techniques, namely the Hill climbing method and the two input fuzzy controller method. The PV system design and modeling is described for a 150 watt standalone PV system with a buck converter charger. The performance of the proposed system is analyzed through numerical simulation and compared to the conventional methods.

Keywords

fuzzy control; numerical analysis; power convertors; solar cells; MPPT; PV system design; SFLC; buck converter charger; hill climbing method; maximum power point tracking; photovoltaic charger; single input fuzzy controller; Artificial neural networks; Fuzzy logic; Mathematical model; Niobium; Photovoltaic cells; Photovoltaic systems; MPPT; efficiency; energy; fuzzy; solar;

fLanguage

English

Publisher

ieee

Conference_Titel

Modeling, Simulation and Applied Optimization (ICMSAO), 2011 4th International Conference on

Conference_Location

Kuala Lumpur

Print_ISBN

978-1-4577-0003-3

Type

conf

DOI

10.1109/ICMSAO.2011.5775508

Filename

5775508