An adaptive observer for sensor fault estimation in a class of uniformly observable non-linear systems

2008 ◽  
Vol 4 (1) ◽  
pp. 37 ◽  
Author(s):  
Qinghua Zhang ◽  
Gildas Besancon
Keyword(s):  
Linear Systems ◽  
Adaptive Observer ◽  
Fault Estimation ◽  
Sensor Fault ◽  
Non Linear ◽  
Non Linear Systems ◽  
Sensor Fault Estimation

scholarly journals Robust Multiple Sensor Fault–Tolerant Control For Dynamic Non–Linear Systems: Application To The Aerodynamical Twin–Rotor System

2018 ◽  
Vol 28 (2) ◽  
pp. 297-308 ◽  
Author(s):  
Marcin Pazera ◽  
Mariusz Buciakowski ◽  
Marcin Witczak
Keyword(s):  
Linear Systems ◽  
Fault Tolerant ◽  
Estimation Error ◽  
Fault Tolerant Control ◽  
Rotor System ◽  
Fault Estimation ◽  
Sensor Fault ◽  
Non Linear ◽  
Non Linear Systems ◽  
Twin Rotor

Abstract The paper deals with the problem of designing sensor-fault tolerant control for a class of non-linear systems. The scheme is composed of a robust state and fault estimator as well as a controller. The estimator aims at recovering the real system state irrespective of sensor faults. Subsequently, the fault-free state is used for control purposes. Also, the robust sensor fault estimator is developed in a such a way that a level of disturbances attenuation can be reached pertaining to the fault estimation error. Fault-tolerant control is designed using similar criteria. Moreover, a separation principle is proposed, which makes it possible to design the fault estimator and control separately. The final part of the paper is devoted to the comprehensive experimental study related to the application of the proposed approach to a non-linear twin-rotor system, which clearly exhibits the performance of the new strategy.

Robust and simple intelligent observer-based fault estimation and reconstruction for a class of non-linear systems: HIRM aircraft

2016 ◽  
Vol 120 (1225) ◽  
pp. 457-472 ◽  
Author(s):  
M.H. Khooban ◽  
M. Siahi ◽  
M.-R. Soltanpour
Keyword(s):  
Linear Systems ◽  
Sliding Mode ◽  
Fault Estimation ◽  
Reconstructed Signal ◽  
Non Linear ◽  
Linear Observer ◽  
Non Linear Systems ◽  
Aircraft System ◽  
Output Information ◽  
Non Linear System

ABSTRACTThis paper introduces an observer strategy, namely a Sliding Mode Observer (SMO), to realise the fault detection and estimation of general uncertain non-linear systems. The use of a non-linear observer is considered for monitoring the states of a high incidence research model (HIRM) aircraft system. For a special class of Lipschitz non-linear system, a fault reconstruction scheme is presented where the reconstructed signal can approximate the fault signal to any accuracy. The proposed method is based only on the available plant input-output information and can be calculated online. Moreover, the globally asymptotic stability of the closed-loop system is mathematically proved. Finally, an HIRM aircraft system example is given to illustrate the efficiency of the proposed approach.

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