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Feature-based Function Block Control Framework for Manufacturing Equipment in Cloud Environments
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID-id: 0000-0003-1265-8451
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. Department of Production Engineering, Royal Institute of Technology, Stockholm, Sweden. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID-id: 0000-0001-8679-8049
Högskolan i Skövde, Institutionen för ingenjörsvetenskap. Högskolan i Skövde, Forskningscentrum för Virtuella system. (Produktion och Automatiseringsteknik, Production and Automation Engineering)
2018 (engelsk)Inngår i: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 57, nr 12, s. 3954-3974Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The ability to adaptively control manufacturing equipment in cloud environments is becoming increasingly more important. Industry 4.0, supported by Cyber Physical Systems and the concept of on-demand, scalable and pay-for-usage resource-sharing in cloud environments offers many promises regarding effective and flexible manufacturing. For implementing the concept of manufacturing services in a cloud environment, a cloud control approach for the sharing and control of networked manufacturing resources is required. This paper presents a cloud service-based control approach which has a product perspective and builds on the combination of event-driven IEC 61499 Function Blocks and product manufacturing features. Distributed control is realised through the use of a networked control structure of such Function Blocks as decision modules, enabling an adaptive run-time behaviour. The control approach has been developed and implemented as prototype systems for both local and distributed manufacturing scenarios, in both real and virtual applications. An application scenario is presented to demonstrate the applicability of the control approach. In this scenario, Assembly Feature-Function Blocks for adaptive control of robotic assembly tasks have been used.

sted, utgiver, år, opplag, sider
Taylor & Francis, 2018. Vol. 57, nr 12, s. 3954-3974
Emneord [en]
manufacturing feature, function block, cloud, adaptive, control framework
HSV kategori
Forskningsprogram
Produktion och automatiseringsteknik
Identifikatorer
URN: urn:nbn:se:his:diva-16525DOI: 10.1080/00207543.2018.1542178ISI: 000474250800011Scopus ID: 2-s2.0-85057893093OAI: oai:DiVA.org:his-16525DiVA, id: diva2:1273460
Tilgjengelig fra: 2018-12-21 Laget: 2018-12-21 Sist oppdatert: 2019-08-06bibliografisk kontrollert

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