NDLI: Fuzzy maximum power control of PV system

Content Provider	IEEE Xplore Digital Library
Author	Kamal, E. Aitouche, A. Oueidat, M. Jouni, A.
Copyright Year	2012
Description	Author affiliation: LAGIS UMR CNRS 8219, Polyteche-Lille, 59655, Villeneuve d'Ascq, France (Kamal, E.) \|\| LAGIS UMR CNRS 8219, HEI, 13 rue de Toul, 59046, Lille, France (Aitouche, A.) \|\| Industrial Engineering and Maintenance, University of Lebanese, IUT Saida, Lebanon (Oueidat, M.) \|\| Energy, Department ALMEE, Beirut, Lebanon (Jouni, A.)
Abstract	This paper addresses the Fuzzy Control (FC) problem for nonlinear systems. The Takagi-Sugeno (TS) fuzzy model is adopted for fuzzy modeling of the nonlinear system and establishing fuzzy state observers. The concept of Parallel Design Compensation (PDC) is employed to design FC from the TS fuzzy models. The sufficient conditions are formulated in the format of Linear Matrix Inequalities (LMIs). The effectiveness of the proposed controller design methodology is finally demonstrated through a photovoltaic panel array to maximize the PV power. In detail, we consider a dc/dc buck converter to regulate the output power of the photovoltaic panel array. Therefore, the proposed method provides an easier implementation form under strict stability analysis. Finally, the control performance is shown from the numerical simulation results.
Starting Page	1
Ending Page	7
File Size	324489
Page Count	7
File Format	PDF
ISBN	9781467324403
e-ISBN	9781467324403
DOI	10.1109/REDEC.2012.6416688
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-11-28
Publisher Place	Lebanon
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum power point tracking Observers Formatting Insert (key words) Style Stability analysis Vectors Arrays Styling Lyapunov methods
Content Type	Text
Resource Type	Article

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