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The goal of this book is to present the theoretical background and practical techniques for the
identification and control of sheet and film processes. The reasons why many existing industrial
control systems perform poorly for sheet and film processes are explained. Identification and control
algorithms which provide consistent and reliable product quality are described and illustrated.
These algorithms include an experimental design technique that ensures that informative data are
collected during input—output experimentation, model identification techniques that produce a process
model and an estimate of its accuracy, and control techniques that take into account actuator constraints
as well as robustness to model uncertainties.
The algorithms covered in this book are truly state of the art. Variations on some of the
algorithms have been implemented on industrial sheet and film processes. Other algorithms are in various
stages of implementation. All of the algorithms have been applied to realistic simulation models
constructed from industrial plant data; many of these studies are included in this book.
From the Preface: “...Sheet and film processes include coating, papermaking, metal rolling, and
polymer film extrusion. Coating processes are of great importance to manufacturing, especially in
the photographic, magnetic, and optical memory, electronic, and adhesive industries...Improving
the control of sheet and film processes is of substantial industrial interest. Improved control of sheet
and film properties can mean significant reductions in material consumption, greater production rates
for existing equipment, improved product quality, elimination of product rejects, and reduced
energy consumption...”
Target Audience: Industrial, process, quality, maintenance, and design engineers; technical and
operations managers; and upper-level students and academic researchers concerned with the control
of sheet and film processes.
Table of Contents:
Background:
Sheet and Film Processes
Process Characteristics
Literature Review
Identification and Control:
Model Requirements and Process Identification
Design of Experiments
Robust Control
Model Predictive Control
Afterword
References
Index
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