Design of Maximum Power Fuzzy Controller ...
Type de document :
Communication dans un congrès avec actes
Titre :
Design of Maximum Power Fuzzy Controller for PV Systems Based on the LMI-Based Stability
Auteur(s) :
Kamal, Elkhatib [Auteur correspondant]
Systèmes Tolérants aux Fautes [STF]
Aitouche, Abdel [Auteur]
Systèmes Tolérants aux Fautes [STF]
Systèmes Tolérants aux Fautes [STF]
Aitouche, Abdel [Auteur]
Systèmes Tolérants aux Fautes [STF]
Éditeur(s) ou directeur(s) scientifique(s) :
Springer
Titre de la manifestation scientifique :
11th International Conference on Diagnostics of Processes and Systems
Ville :
Lubuski
Pays :
Pologne
Date de début de la manifestation scientifique :
2013-09-08
Titre de l’ouvrage :
DPS 2013
Titre de la revue :
AISC book series
Date de publication :
2013-09-09
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
This paper deals with a design methodology for stabilization of a class of nonlinear Photovoltaic (PV) systems. First, a nonlinear PV plant with a Takagi-Sugeno (TS) fuzzy model is presented. Then a model-based fuzzy ...
Lire la suite >This paper deals with a design methodology for stabilization of a class of nonlinear Photovoltaic (PV) systems. First, a nonlinear PV plant with a Takagi-Sugeno (TS) fuzzy model is presented. Then a model-based fuzzy controller design utilizing the concept of the Parallel Distributed Compensation (PDC) is employed. The proposed algorithm depends on the fuzzy reference model. The fuzzy control system consists of observer and fuzzy control components. The state observer does not require the system states to be available for measurement. Sufficient conditions are derived for stabilization is formulated in Linear Matrix Inequalities (LMIs). An application to PV system is given in this paper to illustrate the effectiveness of the proposed TS fuzzy controller and observer-design meth-odology. The simulation results demonstrate that the proposed fuzzy control sys-tem can guarantee the system stability and also maintain a good tracking perfor-mance.Lire moins >
Lire la suite >This paper deals with a design methodology for stabilization of a class of nonlinear Photovoltaic (PV) systems. First, a nonlinear PV plant with a Takagi-Sugeno (TS) fuzzy model is presented. Then a model-based fuzzy controller design utilizing the concept of the Parallel Distributed Compensation (PDC) is employed. The proposed algorithm depends on the fuzzy reference model. The fuzzy control system consists of observer and fuzzy control components. The state observer does not require the system states to be available for measurement. Sufficient conditions are derived for stabilization is formulated in Linear Matrix Inequalities (LMIs). An application to PV system is given in this paper to illustrate the effectiveness of the proposed TS fuzzy controller and observer-design meth-odology. The simulation results demonstrate that the proposed fuzzy control sys-tem can guarantee the system stability and also maintain a good tracking perfor-mance.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :