On the way to autonomous model predictive control: a distillation column simulation study

M. (Mariette) Annergren, D. Kauven, C. A. Larsson, M. G. Potters, Q.N. Tran, L. Ozkan

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

7 Citations (Scopus)

Abstract

Model Predictive Control (MPC) is a powerful tool in the control of large scale chemical processes and has become the standard method for constrained multivariable control problems. Hence, the number of MPC applications is increasing steadily and it is being used in application domains other than petrochemical industries. A common observation by the industrial practitioners is that success of any MPC application requires not only efficient initial deployment but also maintenance of initial effectiveness. To this end, we propose a novel high level automated support strategy for MPC systems. Such a strategy consists of components such as performance monitoring, performance diagnosis, least costly closed loop experiment design, re-identification and autotuning. This work presents the novel technological developments in each component and demonstrates them on a distillation column case study. We show that automated support strategy restores nominal performance after a performance drop is detected and takes the right course of action depending on its cause.

Original languageEnglish
Title of host publication10th IFAC International Symposium on Dynamics and Control of Process Systems (2013)
PublisherIFAC
Pages713-720
Number of pages8
ISBN (Print)978-3-902823-59-5
DOIs
Publication statusPublished - 2013
Event10th IFAC International Symposium on Dynamics and Control of Process Systems (DYCOPS 2013) - Mumbai, India
Duration: 18 Dec 201320 Dec 2013
Conference number: 10

Publication series

NameIFAC Proceedings Volumes
Number32
Volume46
ISSN (Print)1474-6670
NameDynamics and Control of Process Systems
Number1
Volume10

Conference

Conference10th IFAC International Symposium on Dynamics and Control of Process Systems (DYCOPS 2013)
Abbreviated titleDYCOPS 2013
Country/TerritoryIndia
CityMumbai
Period18/12/1320/12/13

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