Integrated identification and robust control for paper machines

Alf Green, Konstantinos Tsakalis, Ward MacArthur, Sachi Dash

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

An integrated modeling and robust multivariable control approach is presented for paper machines. An application of this approach is demonstrated on a high-fidelity simulator. Modeling relies on input-output data, collected from an identification experiment at the desired operating condition. An estimate of the process model along with the uncertainty bounds that describe the confidence limits of the model, consistent with the robust control theory, is obtained. The results are used to design an multivariable controller based on loop-shaping principles and guided by the estimated uncertainty bounds. The simulations demonstrate the suitability of the approach and illustrate that the technique can be used to provide high bandwidth performance for both servo and regulatory control.

Original languageEnglish (US)
Title of host publicationProceedings of the American Control Conference
PublisherIEEE
Pages3970-3974
Number of pages5
Volume6
StatePublished - 1999
Externally publishedYes
EventProceedings of the 1999 American Control Conference (99ACC) - San Diego, CA, USA
Duration: Jun 2 1999Jun 4 1999

Other

OtherProceedings of the 1999 American Control Conference (99ACC)
CitySan Diego, CA, USA
Period6/2/996/4/99

ASJC Scopus subject areas

  • Control and Systems Engineering

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  • Cite this

    Green, A., Tsakalis, K., MacArthur, W., & Dash, S. (1999). Integrated identification and robust control for paper machines. In Proceedings of the American Control Conference (Vol. 6, pp. 3970-3974). IEEE.