Intelligent Control of Wind Conversion ...
Type de document :
Article dans une revue scientifique
Titre :
Intelligent Control of Wind Conversion System based on PMSG using TS Fuzzy Scheme
Auteur(s) :
Harrabi, Naziha [Auteur]
Souissi, Mansour [Auteur]
Aitouche, Abdel [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Chaabane, Mohamed [Auteur]
Souissi, Mansour [Auteur]
Aitouche, Abdel [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Chaabane, Mohamed [Auteur]
Titre de la revue :
International Journal of Renewable Energy Research
Pagination :
952-962
Éditeur :
IJRER
Date de publication :
2015-07-21
ISSN :
1309-0127
Mot(s)-clé(s) en anglais :
wind energyconversion systems
Takagi-sugeno T-S
LMI Linear Matrix Inequalities
C/DC converter
Takagi-sugeno T-S
LMI Linear Matrix Inequalities
C/DC converter
Discipline(s) HAL :
Sciences de l'ingénieur [physics]/Automatique / Robotique
Résumé en anglais : [en]
This paper presents a control strategy for a wind conversion system (WECS) based on permanent magnet synchronous generator (PMSG) and AC/DC converter in the objective of ensuring maximum power generation. The control aim ...
Lire la suite >This paper presents a control strategy for a wind conversion system (WECS) based on permanent magnet synchronous generator (PMSG) and AC/DC converter in the objective of ensuring maximum power generation. The control aim is to track the generator speed with wind velocity variation in order to maximize the power output and enhance system performance. For this purpose, the Takagi–Sugeno (TS) fuzzy model is adopted for the WECS modeling. The control gains are calculated by solving Linear Matrix Inequalities (LMIs). Finally, numerical simulations have been presented to check the effectiveness of our approach.Lire moins >
Lire la suite >This paper presents a control strategy for a wind conversion system (WECS) based on permanent magnet synchronous generator (PMSG) and AC/DC converter in the objective of ensuring maximum power generation. The control aim is to track the generator speed with wind velocity variation in order to maximize the power output and enhance system performance. For this purpose, the Takagi–Sugeno (TS) fuzzy model is adopted for the WECS modeling. The control gains are calculated by solving Linear Matrix Inequalities (LMIs). Finally, numerical simulations have been presented to check the effectiveness of our approach.Lire moins >
Langue :
Anglais
Comité de lecture :
Oui
Audience :
Internationale
Vulgarisation :
Non
Collections :
Source :