This paper derives a measure of dynamic control quality within the Taguchi
framework (G. Taguchi, E.A. Elsayed, T. Hsiang, Quality Engineering in Prod
uction Systems, McGraw-Hill, New York, 1989) which estimates product qualit
y (in economic terms) by the losses incurred when specified product charact
eristics depart from their nominal values. In this sense, a control system
may be viewed as a "product" with stability and performance properties as i
ts required characteristics. The degree to which system inputs and outputs
depart from their nominal values is used to give an estimate of stability a
nd performance quality, respectively. Displaying control quality graphicall
y with stability and performance qualities as the two axes can be used to h
ighlight the trade-off between these two characteristics. This technique wa
s used to evaluate the quality offered by four model-based controllers on a
distillation column model responding to a typical disturbance, and how the
presence of measurement and valve dynamics affected control quality. It is
anticipated that the measures derived in this paper (being both time-based
and economic) may prove useful in conveying control quality in a common la
nguage understood by engineers, operators and management. (C) 2000 Elsevier
Science Ltd. All rights reserved.