Performance assessment of constrained model predictive control systems

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 constrained minimum va...

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Bibliographic Details
Published in:AIChE journal 2001-06, Vol.47 (6), p.1363-1371
Main Authors: Ko, Byung-Su, Edgar, Thomas F.
Format: Article
Language:English
Subjects:
Applied sciences
Chemical engineering
Computer science
control theory
systems
Control system analysis
Control theory. Systems
Distillation
Exact sciences and technology
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Summary: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 constrained minimum variance controller. The performance bound computed using the proposed moving horizon approach converges to the unconstrained minimum variance performance bound when the constraints on process variables become inactive. The utility of the proposed method in the performance assessment of constrained model predictive control systems is demonstrated through a simulated example.
ISSN:0001-1541
1547-5905
DOI:10.1002/aic.690470613