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Feature-based control and information framework for adaptive and distributed manufacturing in cyber physical systems
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-1265-8451
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Production Engineering, Royal Institute of Technology, Stockholm, Sweden. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-8679-8049
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)
2016 (English)In: Journal of manufacturing systems, ISSN 0278-6125, E-ISSN 1878-6642Article in journal (Refereed) Epub ahead of print
Abstract [en]

Modern distributed manufacturing within Industry 4.0, supported by Cyber Physical Systems (CPSs), offers many promising capabilities regarding effective and flexible manufacturing, but there remain many challenges which may hinder its exploitation fully. One major issue is how to automatically control manufacturing equipment, e.g. industrial robots and CNC-machines, in an adaptive and effective manner. For collaborative sharing and use of distributed and networked manufacturing resources, a coherent, standardised approach for systemised planning and control at different manufacturing system levels and locations is a paramount prerequisite.

In this paper, the concept of feature-based manufacturing for adaptive equipment control and resource-task matching in distributed and collaborative CPS manufacturing environments is presented. The concept has a product perspective and builds on the combination of product manufacturing features and event-driven Function Blocks (FB) of the IEC 61499 standard. Distributed control is realised through the use of networked and smart FB decision modules, enabling the performance of collaborative run-time manufacturing activities according to actual manufacturing conditions. A feature-based information framework supporting the matching of manufacturing resources and tasks, as well as the feature-FB control concept, and a demonstration with a cyber-physical robot application, are presented.

Place, publisher, year, edition, pages
Elsevier, 2016.
Keyword [en]
Cyber physical system, Adaptive manufacturing, Feature-based control, Feature-level capability model
National Category
Other Mechanical Engineering
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-13262DOI: 10.1016/j.jmsy.2016.12.003OAI: oai:DiVA.org:his-13262DiVA: diva2:1060100
Funder
Knowledge Foundation, 20130303
Available from: 2016-12-27 Created: 2016-12-27 Last updated: 2017-01-20Bibliographically approved

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Adamson, GöranWang, LihuiMoore, Philip
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CiteExportLink to record
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Citation style
  • apa
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  • modern-language-association-8th-edition
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