Fault tolerant control for a class of ...
Document type :
Communication dans un congrès avec actes
Title :
Fault tolerant control for a class of nonlinear systems using an iterative learning observer
Author(s) :
Yao, Lina [Auteur]
Cocquempot, Vincent [Auteur]
Systèmes Tolérants aux Fautes [STF]
Dongshu, Wang [Auteur]
Cocquempot, Vincent [Auteur]
Systèmes Tolérants aux Fautes [STF]
Dongshu, Wang [Auteur]
Conference title :
International Asia Conference on Informatics in Control, Automation and Robotics (CAR 2010)
City :
Wuhan
Country :
Chine
Start date of the conference :
2010-03-06
Book title :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference
Publication date :
2010-03-06
English keyword(s) :
Nonlinear systems
adaptive tuning
fault tolerant control
iterative learning observer
adaptive tuning
fault tolerant control
iterative learning observer
HAL domain(s) :
Sciences de l'ingénieur [physics]/Automatique / Robotique
English abstract : [en]
A new active fault tolerant control method is proposed for a wide class of nonlinear systems. When the system works normally, the output feedback control strategy is introduced using an iterative learning observer, the ...
Show more >A new active fault tolerant control method is proposed for a wide class of nonlinear systems. When the system works normally, the output feedback control strategy is introduced using an iterative learning observer, the controller is a function of the states of the iterative learning observer (ILO) and a tuning parameter. The fault estimation is introduced into the adaptive tuning rule of the tuning parameter to guarantee the stability of the post-fault system, leading to the fault tolerant control of the nonlinear system. Simulation results illustrate the validity of the method.Show less >
Show more >A new active fault tolerant control method is proposed for a wide class of nonlinear systems. When the system works normally, the output feedback control strategy is introduced using an iterative learning observer, the controller is a function of the states of the iterative learning observer (ILO) and a tuning parameter. The fault estimation is introduced into the adaptive tuning rule of the tuning parameter to guarantee the stability of the post-fault system, leading to the fault tolerant control of the nonlinear system. Simulation results illustrate the validity of the method.Show less >
Language :
Anglais
Peer reviewed article :
Oui
Audience :
Internationale
Popular science :
Non
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