ADVANCED MODEL BASED PROCESS SUPERVISION IN HOT STEEL MILLING

Abstract This paper presents the principles, as well as a prototype implementation, of a model-based supervisory system for the hot steel milling process. Here, a set of simulation models builds the core of the system and possess updated processes information. A model-based setup calculation and tendency prediction, as well as an online fault detection and equipment diagnostics, enhance the performance of the facility control procedure. Concepts of hierarchical modeling, distributed control and decentralized process data acquisition are studied in order to design a methodology for low-cost development of advanced supervision and control systems in industry. Copyright © 2002 IFAC