Integral processes with dead time are frequently encountered in
the process industry; typical examples include supply chains, level
control and batch distillation columns. Special attention must be
paid to their control because they lack asymptotic stability (they
are not self-regulating) and because of their delays. As a result,
many techniques have been devised to cope with these hurdles both
in the context of single-degree-of-freedom
(proportional-integral-differential (PID)) and
two-degree-of-freedom control schemes.
Control of Integral Processes with Dead Time provides a unified
and coherent review of the various approaches devised for the
control of integral processes, addressing the problem from
different standpoints. In particular, the book treats the following
topics:
how to tune a PID controller and assess its performance;
how to design a two-degree-of-freedom control scheme in order to
deal with both the set-point following and load disturbance
rejection tasks;
how to modify the basic Smith predictor control scheme in order
to cope with the presence of an integrator in the process; and
how to address the presence of large process dead times.
The methods are presented sequentially, highlighting the
evolution of their rationale and implementation and thus clearly
characterising them from both academic and industrial perspectives.
Control of Integral Processes with Dead Time will serve academic
researchers in systems with dead time both as a reference and
stimulus for new ideas for further work and will help
industry-based control and process engineers to solve their control
problems using the most suitable technique and achieving the best
cost: benefit ratio."
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