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Adaptive Assembly Feature Based Function Block Control of Robotic Assembly Operations
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.ORCID iD: 0000-0003-1265-8451
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.ORCID iD: 0000-0002-1699-3778
University of Skövde, The Virtual Systems Research Centre. University of Skövde, School of Technology and Society.ORCID iD: 0000-0001-8679-8049
University College Falmouth, United Kingdom.
2012 (English)In: The 13th Mechatronics Forum International Conference Proceedings: Vol. 1/3 / [ed] Rudolf Scheidl & Bernhard Jakoby, Linz: TRAUNER Verlag, 2012, 8-13 p.Conference paper, (Refereed)
Abstract [en]

Many manufacturing systems are exposed to a variety of unforeseen changes, negatively restricting their performances. External variations depending on market demand (e.g. changes in design, quantity and product mix) and internal variations in production capability and flexibility (e.g. equipment breakdowns, missing/worn/broken tools, delays and express orders) all contribute to an environment of uncertainty. In these dynamically changing environments, adaptability is a key feature for manufacturing systems to be able to perform at a maximum level, while keeping unscheduled downtime to a minimum. Targeting manufacturing equipment adaptability, this paper reports an assembly feature (AF) based approach for robotic assembly, using IEC 61499 compliant Function Blocks (FBs). Through the use of a network of event-driven FBs, an adaptive controller system for an industrial gantry robot’s assembly operations has been designed, implemented and tested. Basic assembly operations have been mapped as AFs into Assembly Feature Function Blocks (AF-FBs). Through their combination in FB networks, they can be aggregated to perform higher level assembly tasks. The AF-FBs dynamic execution and behavior can be adaptively controlled through embedded eventdriven algorithms, enabling the ability of adaptive decisions to handle unforeseen changes in the runtime environment.

Place, publisher, year, edition, pages
Linz: TRAUNER Verlag, 2012. 8-13 p.
Series
Advances in Mechatronics
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-6576ISBN: 978-3-99033-042-5 OAI: oai:DiVA.org:his-6576DiVA: diva2:563090
Conference
13th Mechatronics Forum International Conference, Johannes Kepler University, Linz, Monday, September 17, 2012 to Wednesday, September 19, 2012
Available from: 2012-10-29 Created: 2012-10-29 Last updated: 2015-12-29Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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