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Performance assessment of cascade control loops

✍ Scribed by Byung-Su Ko; Thomas F. Edgar

Publisher
American Institute of Chemical Engineers
Year
2000
Tongue
English
Weight
154 KB
Volume
46
Category
Article
ISSN
0001-1541

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✦ Synopsis

Abstract

The minimum variance control law for a cascade control system is derived for two cases: the primary process has stable and unstable inverses. The expression for the primary output variable under the minimum variance cascade control is shown to be feedback‐invariant. An estimate of the minimum achievable variance in a cascade control loop can be obtained via multivariate time‐series modeling of the primary and secondary measurements collected under normal operation. The utility of the proposed performance assessment method is demonstrated using simulated and industrial data.

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## Abstract A constrained minimum variance controller is derived based on a moving horizon approach that explicitly accounts for hard constraints on process variables. A procedure for the performance assessment of constrained model predictive control systems is then developed based on the constrain