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A hybrid approach for the initialization of tracking simulation systems
Aalto University, Helsinki.
Department of Automation and Systems Technology, School of Electrical Engineering, Aalto University.
VTT Technical Research Centre of Finland, Espoo.
Outotec Oy, Espoo.
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2015 (English)In: Proceedings of 2015 IEEE 20th International Conference on Emerging Technologies & Factory Automation (ETFA 2015): Luxembourg, 8-11 Sept. 2015, Piscataway, NJ: IEEE Communications Society, 2015, article id 7301532Conference paper, Published paper (Refereed)
Abstract [en]

In the online and tracking simulation context, precise model initialization is highly important to ensure the quality of predictions made based on simulation. This paper presents a hybrid approach for the initialization of tracking simulation systems that combines different techniques and utilizes the persistent communication between model and process in order to initialize the simulation model. In the proposed approach, the model initialization is performed throughout different stages. A model is first fed with initial conditions that are close to the physical plant's state. Then, the model is run to the same state as the physical system using a process control system. Possible mass or energy errors in the state of the simulation model are corrected before the actual tracking process is started. This paper first introduces previously studied initialization techniques for online simulation systems. Then the proposed hybrid initialization method is elaborated. Finally, its implementation is demonstrated using a simple but representative process system.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015. article id 7301532
Series
I E E E International Conference on Emerging Technologies and Factory Automation. Proceedings, ISSN 1946-0740
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-31932DOI: 10.1109/ETFA.2015.7301532Scopus ID: 2-s2.0-84952932529Local ID: 64206737-c30f-4942-85ad-d9e76adb2ab7ISBN: 978-1-4673-7929-8 (electronic)OAI: oai:DiVA.org:ltu-31932DiVA, id: diva2:1005166
Conference
IEEE International Conference on Emerging Technologies and Factory Automation : 08/09/2015 - 11/09/2015
Note
Validerad; 2016; Nivå 1; 20160114 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved

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Vyatkin, Valeriy

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf