ACTUATOR FAULT DETECTION, ISOLATION METHOD AND STATE ESTIMATOR DESIGN FOR HOT ROLLING MILL MONITORING

Abstract

This paper proposes a method for actuator fault diagnosis in a speed control loop of a hot roughing rolling mill used to carry out multi-pass forward-forward or forward-reverse rolling. The main objectives of the work is to first improve an actuator fault detection and fault magnitude estimation problem for a particular system and second to estimate non measurable variables in order to provide suitable information to the monitoring system. According to fault diagnosis theory and the specific application domain, a model-based fault detection filter combined with a conventional Luenberger observer is proposed. Based on an appropriate gain, the developed technique enables to supervise the hot roughing rolling mill. The effectiveness and performances of the technique are illustrated on a computer simulation platform.