Systematic identification and robust control design for uncertain time delay processes

Jakob Kjøbsted Huusom; Niels Kjølstad Poulsen; Sten Bay Jørgensen; John Bagterp Jørgensen

doi:10.1016/B978-0-444-53711-9.50089-4

Systematic identification and robust control design for uncertain time delay processes

Jakob Kjøbsted Huusom, Niels Kjølstad Poulsen, Sten Bay Jørgensen, John Bagterp Jørgensen

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

A systematic procedure is proposed to handle the standard process control problem. The considered standard problem involves infrequent step disturbances to processes with large delays and measurement noise. The process is modeled as an ARX model and extended with a suitable noise model in order to reject unmeasured step disturbances and unavoidable model errors. This controller is illustrated to perform well for both set point tracking and a disturbance rejection for a SISO process example of a furnace which has a time delay which is significantly longer than the dominating time constant.

Original language	English
Title of host publication	21st European Symposium on Computer Aided Process Engineering
Publisher	Elsevier
Publication date	2011
Pages	442-446
ISBN (Print)	978-0-444-53895-6
DOIs	https://doi.org/10.1016/B978-0-444-53711-9.50089-4
Publication status	Published - 2011
Event	21st European Symposium on Computer Aided Process Engineering - Chalkidiki, Greece Duration: 29 May 2011 → 1 Jun 2011 http://www.escape-21.gr/

Conference

Conference	21st European Symposium on Computer Aided Process Engineering
Country/Territory	Greece
City	Chalkidiki
Period	29/05/2011 → 01/06/2011
Internet address	http://www.escape-21.gr/

Series	Computer Aided Chemical Engineering
Number	29
ISSN	1570-7946

Keywords

Time delay systems
Model Predictive Control
Autoregressive models

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title = "Systematic identification and robust control design for uncertain time delay processes",

abstract = "A systematic procedure is proposed to handle the standard process control problem. The considered standard problem involves infrequent step disturbances to processes with large delays and measurement noise. The process is modeled as an ARX model and extended with a suitable noise model in order to reject unmeasured step disturbances and unavoidable model errors. This controller is illustrated to perform well for both set point tracking and a disturbance rejection for a SISO process example of a furnace which has a time delay which is significantly longer than the dominating time constant.",

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Huusom, JK, Poulsen, NK, Jørgensen, SB & Jørgensen, JB 2011, Systematic identification and robust control design for uncertain time delay processes. in 21st European Symposium on Computer Aided Process Engineering. Elsevier, Computer Aided Chemical Engineering, no. 29, pp. 442-446, 21st European Symposium on Computer Aided Process Engineering, Chalkidiki, Greece, 29/05/2011. https://doi.org/10.1016/B978-0-444-53711-9.50089-4

Systematic identification and robust control design for uncertain time delay processes. / Huusom, Jakob Kjøbsted; Poulsen, Niels Kjølstad; Jørgensen, Sten Bay et al.
21st European Symposium on Computer Aided Process Engineering. Elsevier, 2011. p. 442-446 (Computer Aided Chemical Engineering; No. 29).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Systematic identification and robust control design for uncertain time delay processes

Abstract

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Keywords

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