Identification and Control of Sheet and Film Processing

Citation

Rigelsford, J. (2001), "Identification and Control of Sheet and Film Processing", Industrial Robot, Vol. 28 No. 2. https://doi.org/10.1108/ir.2001.04928bae.001

Identification and Control of Sheet and Film Processing

Identification and Control of Sheet and Film Processing

A.P. Featherstone, J.G. VanAntwerp and R.D. BraatzSpringer-Verlag2000170 pp.ISBN 1-85233-305-7£49.50 (hardcover)Keywords: Film, Control, Plastics

Among the many products of sheet and film processes are paper, bumper stickers, plastic bags, windscreen safety glass and sheet metal. These processes are well known for being difficult to control.

The Identification and Control of Sheet and Film Processing is another addition to the Advances in Industrial Control series published by Springer-Verlag. The book is divided into two parts and comprises eight chapters. Part I gives an introduction to sheet and film processes and discusses plastic film extrusion, paper manufacture, coatings and metal rolling. This is followed by a chapter addressing process characteristics. It discusses topics including sensors, actuators, process dynamics, model structures, large-scale systems and model uncertainty. Chapter 3 is a literature review of different methods of control. These methods include linear control, model predictive control, robust control, profile estimation, model identification and process monitoring.

Part II addresses identification and control. Model requirements and process identification are discussed in chapter 4, and is followed by a chapter on the design of experiments. This covers previous research, process gain estimation, problem formulation for constrained input designs, and a case study. Chapters 6 and 7 discuss Robust control and Model predictive control respectively. The final chapter of this book contains a summary of the previous chapters.

Identification and Control of Sheet and Film Processing is a well written text which provides informative discussion and useful algorithms – all of which have been applied to realistic simulation models constructed from industrial plant data. This book will be invaluable to professionals in this field and the 375 references ensure its suitability for academics and researchers.