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Optimizing Cycle Time and Energy Efficiency of a Robotic Cell Using an Emulation Model
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-9204-4603
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-0111-1776
University of Skövde, School of Engineering Science.
2018 (English)In: Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden / [ed] Peter Thorvald, Keith Case, Amsterdam: IOS Press, 2018, Vol. 8, p. 411-416Conference paper, Published paper (Refereed)
Abstract [en]

Industrial automated systems are mostly designed and pre-adjusted to always work at their maximum production rate. This leaves room for important energy consumption reductions considering the production rate variations of factories in reality. This article presents a multi-objective optimization application targeting cycle time and energy consumption of a robotic cell. A novel approach is presented where an existing emulation model of a fictitious robotic cell was extended with low-level electrical components modeled and encapsulated as FMUs. The model, commanded by PLC and Robot Control software, was subjected to a multi-objective optimization algorithm in order to find the Pareto front between energy consumption and production rate. The result of the optimization process allows selecting the most efficient energy consumption for the robotic cell in order to achieve the required cycle.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2018. Vol. 8, p. 411-416
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Keywords [en]
Emulation, Optimization, Energy efficiency, Robotic cell
National Category
Control Engineering Computer Systems
Research subject
Production and Automation Engineering
Identifiers
URN: urn:nbn:se:his:diva-16286DOI: 10.3233/978-1-61499-902-7-411ISI: 000462212700066Scopus ID: 2-s2.0-85057355546ISBN: 978-1-61499-901-0 (print)ISBN: 978-1-61499-902-7 (electronic)OAI: oai:DiVA.org:his-16286DiVA, id: diva2:1254396
Conference
16th International Conference on Manufacturing Research (ICMR), incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden
Available from: 2018-10-09 Created: 2018-10-09 Last updated: 2019-04-08Bibliographically approved

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Ayani, MikelNg, Amos H. C.

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