Title :
Adaptive residual generation on a winding machine described by multiple models
Author :
Gross, L. ; Noura, H. ; Bastogne, T. ; Sauter, D.
Author_Institution :
Centre de Rech. en Autom. de Nancy, Univ. Henri Poincare, Vandeuvre-lès-Nancy, France
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
An adaptation method for fault detection on systems described by multiple models is presented in this paper, based on the properties of the synthesis parameters Q and R of Kalman filters. A non linear winding machine described by multiple linearized models is used to highlight the principle of this adaptation method. The application to this winding machine is proposed, in the case where a fault occurs after a loss of the information used for the determination of the current valid model.
Keywords :
Kalman filters; adaptive control; fault diagnosis; nonlinear control systems; Kalman filter; adaptive residual generation; fault detection; linearized model; nonlinear winding machine; Adaptation models; Computational modeling; Fault detection; Kalman filters; Loss measurement; Mathematical model; Windings; Adaptation strategy; Adaptive Kalman filters; Fault detection; Multiple models;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5