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An OPC UA Based Architecture for Testing Tracking Simulation Methods
Aalto University, Helsinki.
Department of Automation and Systems Technology, School of Electrical Engineering, Aalto University.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0002-9315-9920
Number of Authors: 3
2015 (English)In: IEEE TrustCom-BigDataSE-ISPA 2015: Helsinki, 20-22 Aug. 2015, Piscataway, NJ: IEEE Communications Society, 2015, p. 275-280, article id 7345660Conference paper, Published paper (Refereed)
Abstract [en]

A tracking simulator is a simulation system that runs in parallel with the real process. They integrate model and process using a persistent and direct communication between the physical system and the simulation. In a tracking simulator, the simulation system receives data measured from the process instrumentation in order to adjust the model parameters so that the simulated state matches the real process state. Tracking simulation systems have a number of applications and the benefits in comparison to conventional simulation systems are numerous. This paper presents an architecture for testing different methods that can be used in tracking simulation. The proposed approach employs the OPC Unified Architecture as the protocol for the communication between the simulation model and the physical system. This work first introduces the structure of the testbed. Then, in order to test the proposed system, a previously published tracking method based on the tuning of the model parameters using PI controllers is implemented and the test results are shown. Finally, the conclusions and future work are discussed

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2015. p. 275-280, article id 7345660
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-32021DOI: 10.1109/Trustcom.2015.644ISI: 000380431400039Local ID: 66076f92-e359-4b55-842d-772dcf9b16cbISBN: 9781467379519 (print)OAI: oai:DiVA.org:ltu-32021DiVA, id: diva2:1005255
Conference
IEEE TrustCom-BigDataSE-ISPA : 20/08/2015 - 22/08/2015
Note

Validerad; 2016; Nivå 1; 2016-10-11 (andbra)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-01-14Bibliographically approved

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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