Actuator fault detection, isolation method and state estimator design for hot rolling mill monitoring

Abstract

This chapter proposes a method for actuator fault diagnosis in a speed control loop of a hot roughing rolling mill used to carry out multipass forward–forward or forward–reverse rolling. The main objectives of the work are to improve an actuator fault detection and fault magnitude estimation problem for a particular system and to estimate nonmeasurable variables 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 the supervision of the hot roughing rolling mill. The effectiveness and performances of the technique are illustrated on a computer simulation platform.