Fuzzy Scheduler Fault-Tolerant Control for ...
Document type :
Article dans une revue scientifique
Title :
Fuzzy Scheduler Fault-Tolerant Control for Wind Energy Conversion Systems
Author(s) :
Kamal, Elkhatib [Auteur]
Abdel, Aitouche [Auteur]
Reza, Ghorbani [Auteur]
Merchez, Mireille [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Abdel, Aitouche [Auteur]
Reza, Ghorbani [Auteur]
Merchez, Mireille [Auteur]

Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Journal title :
IEEE Transactions on Control Systems Technology
Pages :
pp. 119-131
Publisher :
Institute of Electrical and Electronics Engineers
Publication date :
2014-01
ISSN :
1063-6536
English keyword(s) :
Wind Energy
Fault tolerant control
Fault tolerant control
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
In this paper, a new fuzzy scheduler fault-tolerant control method is proposed for nonlinear systems subject to sensor faults, parameter uncertainties, wind disturbance, and state variables unavailable for measurements. ...
Show more >In this paper, a new fuzzy scheduler fault-tolerant control method is proposed for nonlinear systems subject to sensor faults, parameter uncertainties, wind disturbance, and state variables unavailable for measurements. An algorithm based on the reconfiguration mechanism is then investigated for detection, isolation, and accommodation of sensor faults. The Takagi-Sugeno fuzzy model is employed to represent the nonlinear wind energy conversion system, and then a model-based fuzzy scheduler controller design uses the concept of general-distributed compensation. Sufficient stability conditions are expressed in terms of linear matrix inequalities, which can be solved very efficiently using convex optimization techniques. The proposed algorithm maximizes the produced power and minimizes the voltage ripple and is able to maintain stability of the system during sensor faults, wind disturbance, and parameter uncertainties. The design procedures are applied to a dynamics model of the typical wind energy conversion system to illustrate the effectiveness of the proposed control technique.Show less >
Show more >In this paper, a new fuzzy scheduler fault-tolerant control method is proposed for nonlinear systems subject to sensor faults, parameter uncertainties, wind disturbance, and state variables unavailable for measurements. An algorithm based on the reconfiguration mechanism is then investigated for detection, isolation, and accommodation of sensor faults. The Takagi-Sugeno fuzzy model is employed to represent the nonlinear wind energy conversion system, and then a model-based fuzzy scheduler controller design uses the concept of general-distributed compensation. Sufficient stability conditions are expressed in terms of linear matrix inequalities, which can be solved very efficiently using convex optimization techniques. The proposed algorithm maximizes the produced power and minimizes the voltage ripple and is able to maintain stability of the system during sensor faults, wind disturbance, and parameter uncertainties. The design procedures are applied to a dynamics model of the typical wind energy conversion system to illustrate the effectiveness of the proposed control technique.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
Collections :
Source :