Bringing Automated Intelligence to Cyber-Physical Production Systems in Factory Automation

Birgit Vogel-Heuser; Luis Ribeiro

doi:10.1109/COASE.2018.8560430

Bringing Automated Intelligence to Cyber-Physical Production Systems in Factory Automation

Birgit Vogel-Heuser, Luis Ribeiro

Chair of Automation and Information Systems

Linköping University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

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.

Original language	English
Title of host publication	2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018
Publisher	IEEE Computer Society
Pages	347-352
Number of pages	6
ISBN (Electronic)	9781538635933
DOIs	https://doi.org/10.1109/COASE.2018.8560430
State	Published - 4 Dec 2018
Event	14th IEEE International Conference on Automation Science and Engineering, CASE 2018 - Munich, Germany Duration: 20 Aug 2018 → 24 Aug 2018

Publication series

Name	IEEE International Conference on Automation Science and Engineering
Volume	2018-August
ISSN (Print)	2161-8070
ISSN (Electronic)	2161-8089

Conference

Conference	14th IEEE International Conference on Automation Science and Engineering, CASE 2018
Country/Territory	Germany
City	Munich
Period	20/08/18 → 24/08/18

Access to Document

10.1109/COASE.2018.8560430

Cite this

Vogel-Heuser, B., & Ribeiro, L. (2018). Bringing Automated Intelligence to Cyber-Physical Production Systems in Factory Automation. In 2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018 (pp. 347-352). Article 8560430 (IEEE International Conference on Automation Science and Engineering; Vol. 2018-August). IEEE Computer Society. https://doi.org/10.1109/COASE.2018.8560430

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abstract = "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.",

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Vogel-Heuser, B & Ribeiro, L 2018, Bringing Automated Intelligence to Cyber-Physical Production Systems in Factory Automation. in 2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018., 8560430, IEEE International Conference on Automation Science and Engineering, vol. 2018-August, IEEE Computer Society, pp. 347-352, 14th IEEE International Conference on Automation Science and Engineering, CASE 2018, Munich, Germany, 20/08/18. https://doi.org/10.1109/COASE.2018.8560430

Bringing Automated Intelligence to Cyber-Physical Production Systems in Factory Automation. / Vogel-Heuser, Birgit; Ribeiro, Luis.
2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018. IEEE Computer Society, 2018. p. 347-352 8560430 (IEEE International Conference on Automation Science and Engineering; Vol. 2018-August).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AB - 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.

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Bringing Automated Intelligence to Cyber-Physical Production Systems in Factory Automation

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