Title :
Sensor fault-tolerant control method based on multiple model approach
Author :
Theilliol, D. ; Ponsart, J.C. ; Noura, H. ; Sauter, D.
Author_Institution :
Centre de Rech. en Autom. de Nancy, Univ. Henri Poincare, Vandoeuvre-les, France
Abstract :
In this paper, a sensor fault-tolerant control method is developed. The proposed method makes possible the compensation of additive or multiplicative sensor faults and failures. Its principle is based on the on-line estimation of an accurate state system when a fault occurs. Based on the multiple model algorithm, called interacting multiple model, applied to a particular bank of Kalman filters, a sensor fault-tolerant control is computed in order to compensate the fault effect on the system. The performances of the method are tested in simulation on a pilot plant.
Keywords :
Kalman filters; compensation; estimation theory; fault diagnosis; fault tolerant control; sensors; Kalman filter; additive sensor fault; compensation; fault effect; interacting multiple model; multiple model algorithm; multiple model approach; multiplicative sensor fault; online estimation; sensor fault-tolerant control method; state system; Computational modeling; Covariance matrices; Fault diagnosis; Fault tolerance; Fault tolerant systems; State estimation; Vectors; Kalman filter; fault-tolerant control; interacting multiple model algorithm; sensor fault diagnosis;
Conference_Titel :
Control Conference (ECC), 2001 European
Conference_Location :
Porto
Print_ISBN :
978-3-9524173-6-2