Intelligent Control of Wind Conversion ...
Document type :
Compte-rendu et recension critique d'ouvrage
Title :
Intelligent Control of Wind Conversion System based on PMSG using TS Fuzzy Scheme
Author(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]
Journal title :
International Journal of Renewable Energy Research
Pages :
952-962
Publisher :
IJRER
Publication date :
2015-07-21
ISSN :
1309-0127
English keyword(s) :
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
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [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 ...
Show more >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.Show less >
Show more >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.Show less >
Language :
Anglais
Popular science :
Non
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