Title :
Control and Fault Diagnosis of a Winding Machine Based on a LTV Model
Author :
Ponsart, Jean-Christophe ; Sauter, Dominique ; Theilliol, Didier
Author_Institution :
Centre de Recherche en Automatique de Nancy, Univ. Henri Poincare
Abstract :
This paper describes a controller design and also a sensor fault diagnosis based on a LTV model for a winding machine. It shows that, according to an experimental identification approach, a LTV model is ideally suited to improve the control of web tension. Moreover, based on this model, an innovative bank of interpolated LTI Kalman filters is synthesised to allow sensor fault detection and isolation (FDI). The advanced control law has been successfully applied to a winding machine. Also, software sensor fault has been generated to improve the accuracy of FDI algorithm in winding machine
Keywords :
Kalman filters; control system synthesis; fault diagnosis; linear systems; machine control; machine windings; sensors; FDI algorithm; LTV model; controller design; fault detection; fault isolation; interpolated LTI Kalman filter; sensor fault diagnosis; software sensor fault; web tension; winding machine; Control design; Control system synthesis; Control systems; Fault detection; Fault diagnosis; Machine windings; Metals industry; Sensor phenomena and characterization; Strips; Velocity control;
Conference_Titel :
Control Applications, 2005. CCA 2005. Proceedings of 2005 IEEE Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-9354-6
DOI :
10.1109/CCA.2005.1507368
