Adaptive dynamic matrix control of a distillation column with closed-loop online identification

This paper presents an online identification technique where a process is identified in terms of pseudo impulse response coefficients and subsequently used to update convolution type models to accommodate process-model mismatch. As an example, dynamic matrix control has been applied adaptively to co...

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Bibliographic Details
Published in:Journal of process control 1995, Vol.5 (5), p.315-327
Main Authors: Maiti, Sachi N., Saraf, Deoki N.
Format: Article
Language:English
Subjects:
distillation column control
DMC
model predictive control
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Summary:This paper presents an online identification technique where a process is identified in terms of pseudo impulse response coefficients and subsequently used to update convolution type models to accommodate process-model mismatch. As an example, dynamic matrix control has been applied adaptively to control the top product composition of a distillation column for both servo and regulatory problems. The algorithm automatically detects a large step-like disturbance requiring fresh identification of the process and subsequently adapts the controller to the new model. Simulation studies using an analytical dynamic full order model of a distillation column demonstrated the usefulness of the adaptation scheme. Experimentation on a pilot scale distillation unit vindicated the simulation results.
ISSN:0959-1524
1873-2771
DOI:10.1016/0959-1524(95)00002-8