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Bringing Automated Intelligence to Cyber-Physical Production Systems in Factory Automation
Tech Univ Munich, Germany.
Linköping University, Department of Management and Engineering, Manufacturing Engineering. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-0248-8180
2018 (English)In: 2018 IEEE 14TH INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING (CASE), IEEE , 2018, p. 347-352Conference paper, Published paper (Refereed)
Abstract [en]

Learning and intelligent algorithms are the basis for Cyber-Physical Production Systems (CPPS). They enable flexibility through reconfiguration ease and fault tolerance by ensuring that the CPPS adapts to changing conditions. However, in order to exhibit such characteristics, CPPS require a proper support for reliably handling the real time behavior of the physical systems they are in control of. This paper presents and discusses basic requirements for control software, which enables flexible and adaptable automated Production Systems (aPS) modelled according to the CPPS concept. In doing so, the paper exposes the main architectural guidelines and rationale for where to place and operate intelligent algorithms in the context of industrial automation for continuous processes.

Place, publisher, year, edition, pages
IEEE , 2018. p. 347-352
Series
IEEE International Conference on Automation Science and Engineering, ISSN 2161-8070
National Category
Embedded Systems
Identifiers
URN: urn:nbn:se:liu:diva-155958DOI: 10.1109/COASE.2018.8560430ISI: 000460536600054ISBN: 978-1-5386-3593-3 (print)OAI: oai:DiVA.org:liu-155958DiVA, id: diva2:1301005
Conference
14th IEEE International Conference on Automation Science and Engineering (IEEE CASE)
Available from: 2019-04-01 Created: 2019-04-01 Last updated: 2019-04-01

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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