Simultaneous Design and Control of Chemical Plants

This book presents a set of methods proposed for the
simultaneous design and control of chemical
processes under the effect of external perturbations
and parametric uncertainties. The proposed
methodologies borrow tools from robust control
theory to test the process stability and to
calculate bounds on the worst-case process output
variability and the process constraints. Thus, the
proposed methods avoid the solution of dynamic
optimization problems which are computationally
expensive and even prohibitive for the design and
control of processes with several process units.
The proposed methods were applied to a mixing tank
process and to the Tennessee Eastman process. Due to
the robust approach, the final design obtained by
these methods may be conservative. However, the
computational demand required by the present
approach is several orders of magnitude lower than
that required by a dynamic optimization-based
methodology. Therefore, the present approach is a
practical and computationally efficient tool that
can be used for the simultaneous design and control
of chemical plants.

Autorentext

Dr. Ricardez-Sandoval is an Assistant Professor in the Chemical
Engineering Department at the University of Waterloo. Prior to
joining UW, he worked in the manufacturing and Oil&Gas
industry for several years. His current research interests
include: multiscale modelling, design and control, systems
identification and robust control.

Klappentext

This book presents a set of methods proposed for the
simultaneous design and control of chemical
processes under the effect of external perturbations
and parametric uncertainties. The proposed
methodologies borrow tools from robust control
theory to test the process stability and to
calculate bounds on the worst-case process output
variability and the process constraints. Thus, the
proposed methods avoid the solution of dynamic
optimization problems which are computationally
expensive and even prohibitive for the design and
control of processes with several process units.
The proposed methods were applied to a mixing tank
process and to the Tennessee Eastman process. Due to
the robust approach, the final design obtained by
these methods may be conservative. However, the
computational demand required by the present
approach is several orders of magnitude lower than
that required by a dynamic optimization-based
methodology. Therefore, the present approach is a
practical and computationally efficient tool that
can be used for the simultaneous design and control
of chemical plants.