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Towards Increased Flexibility and Interoperability in Distributed Process Control Applications

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)
36 Downloads (Pure)

Abstract

The modern process automation plants are changing into flexible designs, which raises the requirements for distributively controlled logic, a high degree of interoperability, dynamic reconfiguration and software reusability. Thus, creating an opportunity to integrate the distributed control system standards and platform independent communication protocols. In this paper, we propose the use of OPC UA to increase interoperability of communication and the utilization of Arrowhead Framework to enhance interoperable service compositions of control applications implemented in IEC 61499. The concept is outlined for the integration and modeling of a distributed control system for a FESTO laboratory batch process system. A control application example is provided to create distributed control of Cyber-Physical Systems using services that are connected using IEC 61499 in accordance to Industry 4.0 for improved interoperability and flexibility.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020
PublisherIEEE
Pages446-450
Number of pages5
ISBN (Electronic)9781728163895
DOIs
Publication statusPublished - 10 Jun 2020
Publication typeA4 Article in conference proceedings
EventIEEE Conference on Industrial Cyberphysical Systems - Virtual, Tampere, Finland
Duration: 10 Jun 202012 Jun 2020

Publication series

NameProceedings - 2020 IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020

Conference

ConferenceIEEE Conference on Industrial Cyberphysical Systems
Country/TerritoryFinland
CityVirtual, Tampere
Period10/06/2012/06/20

Keywords

  • 4Diac
  • Arrowhead Framework
  • Cyber-Physical Systems
  • IEC 61499
  • Industry 4.0
  • OPC UA

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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