Fuzzy maximum power control of PV system
Document type :
Communication dans un congrès avec actes
Title :
Fuzzy maximum power control of PV system
Author(s) :
Kamal, Elkhatib [Auteur]
Systèmes Tolérants aux Fautes [STF]
Aitouche, Abdel [Auteur]
Systèmes Tolérants aux Fautes [STF]
Oueidat, Mohamad [Auteur]
Jouni, Adnan [Auteur]
Systèmes Tolérants aux Fautes [STF]
Aitouche, Abdel [Auteur]
Systèmes Tolérants aux Fautes [STF]
Oueidat, Mohamad [Auteur]
Jouni, Adnan [Auteur]
Scientific editor(s) :
IEEE XPLORE
Conference title :
2012 International Conference on Renewable Energies for Developing Countries (REDEC),
City :
Beyrouth
Country :
Liban
Start date of the conference :
2012-11-28
Book title :
2012 International Conference on Renewable Energies for Developing Countries (REDEC),
Publication date :
2012-11-29
English keyword(s) :
Takagi-Sugeno
MPPT
observers
PV
Power tracking
MPPT
observers
PV
Power tracking
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
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