The IMOCO4.E reference framework for intelligent motion control systems

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dc.contributor.authorMohamed, Sajiden
dc.contributor.authorvan der Veen, Gijsen
dc.contributor.authorKuppens, Hansen
dc.contributor.authorVierimaa, Matiasen
dc.contributor.authorKanellos, Tassosen
dc.contributor.authorStoutjesdijk, Henryen
dc.contributor.authorMasiero, Riccardoen
dc.contributor.authorMäättä, Kalleen
dc.contributor.authorvan der Weit, Jan Wytzeen
dc.contributor.authorRibeiro, Gabrielen
dc.contributor.authorBergmann, Ansgaren
dc.contributor.authorColombo, Davideen
dc.contributor.authorArenas, Javieren
dc.contributor.authorKeary, Alfieen
dc.contributor.authorGoubej, Martinen
dc.contributor.authorRouxel, Benjaminen
dc.contributor.authorKilpeläinen, Pekkaen
dc.contributor.authorKadikis, Robertsen
dc.contributor.authorArmendia, Mikelen
dc.contributor.authorBlaha, Petren
dc.contributor.authorStokkermans, Joepen
dc.contributor.authorČech, Martinen
dc.contributor.authorBeltman, Arend-Janen
dc.contributor.funderHorizon 2020en
dc.date.accessioned2023-11-29T10:38:37Z
dc.date.available2023-11-29T10:38:37Z
dc.date.issued2023-10-12en
dc.description.abstractIntelligent motion control is integral to modern cyber-physical systems. However, smart integration of intelligent motion control with commercial and industrial systems requires domain expertise, industrial ‘know-how’ of the production processes, and resilient adaptation for the various engineering phases. The challenge is amplified with the adoption of advanced digital twin approaches, big data and artificial intelligence in the various industrial domains. This paper proposes the IMOCO4.E reference framework for the smart integration of intelligent motion control with commercial platforms (e.g. from SMEs) and industrial systems. The IMOCO4.E reference framework brings together the architecture, data management, artificial intelligence and digital twin viewpoints from the industrial users of the large-scale ‘Intelligent Motion Control under Industry4.E’ (IMOCO4.E) consortium. The framework envisions a generic platform for designing, developing, and implementing novice and complex motion-controlled industrial systems. Refinements and instantiations of the framework for the IMOCO4.E industrial cases validate the framework’s applicability for various industrial domains throughout the engineering phases and under different constraints imposed on the industrial cases.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMohamed, S., van der Veen, G., Kuppens, H., Vierimaa, M., Kanellos, T., Stoutjesdijk, H., Masiero, R., Määttä, K., van der Weit, J. W., Ribeiro, G., Bergmann, A., Colombo, D., Arenas, J., Keary, A., Goubej, M., Rouxel, B., Kilpeläinen, P., Kadikis, R., Armendia, M., Blaha, P., Stokkermans, J., Čech, M. and Beltman, A.-J. (2023) 'The IMOCO4. E reference framework for intelligent motion control systems', 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA), Sinaia, Romania, 12-15 September, pp. 1-8, doi: 10.1109/ETFA54631.2023.10275410en
dc.identifier.doi10.1109/etfa54631.2023.10275410en
dc.identifier.eissn1946-0759en
dc.identifier.endpage8en
dc.identifier.isbn979-8-3503-3992-5en
dc.identifier.isbn979-8-3503-3990-1en
dc.identifier.isbn979-8-3503-3991-8en
dc.identifier.issn1946-0740en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/15272
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)en
dc.relation.projectinfo:eu-repo/grantAgreement/EC/H2020::ECSEL-RIA/101007311/EU/Intelligent Motion Control under Industry 4.E/IMOCO4.Een
dc.rights© 2023, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectReference frameworken
dc.subjectSmart system integrationen
dc.subjectAIen
dc.subjectDigital twinen
dc.subjectData managementen
dc.subjectCyber-physical systemsen
dc.subjectMechatronicsen
dc.subjectMotion controlen
dc.subjectEdge computingen
dc.titleThe IMOCO4.E reference framework for intelligent motion control systemsen
dc.typeConference itemen
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