Fuzzy maximum power control of PV system
Type de document :
Communication dans un congrès avec actes
Titre :
Fuzzy maximum power control of PV system
Auteur(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]
Éditeur(s) ou directeur(s) scientifique(s) :
IEEE XPLORE
Titre de la manifestation scientifique :
2012 International Conference on Renewable Energies for Developing Countries (REDEC),
Ville :
Beyrouth
Pays :
Liban
Date de début de la manifestation scientifique :
2012-11-28
Titre de l’ouvrage :
2012 International Conference on Renewable Energies for Developing Countries (REDEC),
Date de publication :
2012-11-29
Mot(s)-clé(s) en anglais :
Takagi-Sugeno
MPPT
observers
PV
Power tracking
MPPT
observers
PV
Power tracking
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [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 ...
Lire la suite >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.Lire moins >
Lire la suite >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.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :