DocumentCode
706908
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
fYear
1999
fDate
Aug. 31 1999-Sept. 3 1999
Firstpage
3399
Lastpage
3405
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 1999 European
Conference_Location
Karlsruhe
Print_ISBN
978-3-9524173-5-5
Type
conf
Filename
7099853
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