The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies ... , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The steel industry world-wide is highly competitive and there is significant research in progress to ensure competitive success prevails in the various companies. From an engineering viewpoint, this means the use of increasingly sophisticated techniques and state-of-the-art theory to optimise process throughput and deliver ever more exacting dimensional and material property specifications. Dr. Bjöm Sohlberg's monograph demonstrates this interplay between fundamental control engineering science and the demands of a particular applications project in the steel strip production business. It is an excellent piece of work which clearly shows how these industrial engineering challenges can be formulated and solved.

A clear exposition of the grey box modelling process * Demonstrates how such models can be used for supervision and control of industrial processes - Sohlberg draws upon his experiences of working with process control to present a valuable insight into the field

Klappentext

Within the process industry, many economic benefits can be achieved by controlling industrial processes at a supervisory level. From an engineering viewpoint, this means using increasingly sophisticated techniques and state-of-the-art theory to optimise process through put and deliver ever more exacting property specifications. Supervision and Control for Industrial Processes considers ways of improving and developing processes using these new methods. In particular, the book demonstrates the use of the grey box modelling method to find an appropriate process model which can be used for control, fault detection and isolation at a supervisory level. This publication will be of particular interest to engineers and graduate students involved in the areas of process control, supervision of industrial processes and failure diagnosis.

Inhalt
1 Background.- 1.1 Introduction.- 1.2 Rinsing process.- 1.3 Outline of the chapters.- 2 Grey Box Modelling.- 2.1 Introduction.- 2.2 Background for grey box modelling.- 2.3 Model construction procedure.- 2.4 Software tools.- 2.5 Summary.- 3 Application of Basic Modelling.- 3.1 Introduction.- 3.2 Basic modelling of the rinsing process.- 3.3 Summary.- 4 Application of Augmented Modelling.- 4.1 Introduction.- 4.2 Experiment.- 4.3 Searching for an appropriate model.- 4.4 Modelling aspects.- 4.5 Alternative tank models.- 4.6 Summary.- 5 Real-Time Estimation.- 5.1 Introduction.- 5.2 Data acquisition.- 5.3 Off-line identification.- 5.4 On-line estimation.- 5.5 Summary.- 6 Process Control.- 6.1 Introduction.- 6.2 Combined feedforward and feedback controller.- 6.3 Application of the combined controller.- 6.6 Summary.- 7 Process Supervision.- 7.1 Introduction.- 7.2 Terminology.- 7.3 Supervision methods.- 7.4 Application of supervision.- 7.5 Summary.- 8 Fault Detection, Diagnosis & Identification.- 8.1 Introduction.- 8.2 Fault-related methods.- 8.3 Application of fault-related methods.- 8.4 Summary.- References.