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

fYear

2005

fDate

28-31 Aug. 2005

Firstpage

1642

Lastpage

1647

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Applications, 2005. CCA 2005. Proceedings of 2005 IEEE Conference on

Conference_Location

Toronto, Ont.

Print_ISBN

0-7803-9354-6

Type

conf

DOI

10.1109/CCA.2005.1507368

Filename

1507368