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On Guided and Automatic Control Configuration Selection
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-9992-7791
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-5888-8626
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-7598-4815
2018 (English)In: IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Piscataway, Nj: Institute of Electrical and Electronics Engineers (IEEE), 2018, Vol. F134116Conference paper, Published paper (Refereed)
Abstract [en]

This paper discusses the guided and automatic control configuration selection in large scale complex systems. Due to the trend of increasesd level of automation and connectedness which is promoted by the Industry 4.0 strategy and supported by technologies relating to cyber-physical systems and the industrial internet of things, selecting appropriate control strategies becomes increasingly important and complex. This is especially important as a control strategies will limit the achievable performance of the process system, and there are  trade-offs between complexity of the control strategies, achievable performance, vulnerability and maintainability.

The paper reviews the state of the art of methodologies that support the practitioners in taking decisions on control strategies, where two main approaches are considered, the guided one and a fully automatic one. It is shown how both approached can be conducted and examples are used to clarify the selection process.

Abstract [en]

Selecting appropriate control configurations becomes increasingly important and complex. This is due to the trend of increased level of automation and connectedness which is promoted by Industry 4.0 and supported by technologies relating to cyber-physical systems and the industrial internet of things. In this scenario, there are trade-offs between simplicity of the control configurations, achievable performance, vulnerability and maintainability. The paper reviews different state of the art tools before integrating them in guidelines and in automatic methods that support the practitioners in the design on control configurations.

Place, publisher, year, edition, pages
Piscataway, Nj: Institute of Electrical and Electronics Engineers (IEEE), 2018. Vol. F134116
Series
IEEE International Conference on Emerging Technologies and Factory Automation-ETFA, ISSN 1946-0740
Keywords [en]
automatic control configuration selection, decentralized control, interaction measures, sparse control
National Category
Control Engineering
Research subject
Control Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-63153DOI: 10.1109/ETFA.2017.8247700ISI: 000427812000135Scopus ID: 2-s2.0-85044482354ISBN: 978-1-5090-6505-9 (electronic)OAI: oai:DiVA.org:ltu-63153DiVA, id: diva2:1091056
Conference
22nd IEEE International Conference on Emerging Technologies And Factory Automation (ETFA), Limassol, Cyprus, 12-15 September 2017
Projects
OPTi Optimisation of District Heating Cooling systems, OPTiIntegrated Process Control based on Distributed In-Situ Sensors into Raw Material and Energy Feedstock, DISIREWARP
Funder
VINNOVAEU, Horizon 2020, 649796EU, Horizon 2020, 636834Available from: 2017-04-25 Created: 2017-04-25 Last updated: 2018-05-29Bibliographically approved

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Castaño Arranz, MiguelBirk, WolfgangKadhim, Ali

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