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Control configuration selection for integrating processes using graphs
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Optimation AB.
2015 (English)In: 2015 IEEE International Conference on Control Applications (CCA 2015): Sydney, Australia, September 21-23, Piscataway, NJ: IEEE Communications Society, 2015, 1606-1611 p., 7320839Conference paper (Refereed)
Abstract [en]

Recently, methods for Control Configuration Selection (CCS) using weighted graphs have been introduced. These methods were integrated in a software tool which allows systematic CCS in industry processes by choosing a simplified model with a reduced structure on which control will be based. This paper addresses the extension of these graph-based methods to be applied to integrating systems, which often appear in industry processes, e.g. at storage vessels. The extension is based on restricting the analysis to a set of frequencies of interest which omits the infinite DC-gain. The results are validated and illustrated using a real-life case, namely the secondary heating system of a pulp & paper mill.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015. 1606-1611 p., 7320839
Series
, I E E E International Conference on Control Applications. Proceedings, ISSN 1085-1992
Research subject
Control Engineering; Signal Processing; Intelligent industrial processes (AERI)
Identifiers
URN: urn:nbn:se:ltu:diva-38725DOI: 10.1109/CCA.2015.7320839ScopusID: 84964345519Local ID: d34d29e6-aaf7-491a-b737-1ed603a2f77dISBN: 978-1-4799-7787-1 (PDF)OAI: oai:DiVA.org:ltu-38725DiVA: diva2:1012226
Conference
IEEE International Conference on Control Applications : 21/09/2015 - 23/09/2015
Note
Validerad; 2016; Nivå 1; 20150717 (wolfgang)Available from: 2016-10-03 Created: 2016-10-03Bibliographically approved

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