Detail publikace

The IMOCO4.E reference framework for intelligent motion control systems

Mohamed, 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. Beltman, A.

Originální název

The IMOCO4.E reference framework for intelligent motion control systems

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

Intelligent 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.

Klíčová slova

AI; cyber-physical systems; data management; digital twin; edge computing; mechatronics; motion control; reference framework; smart system integration

Autoři

Mohamed, 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.; Beltman, A.

Vydáno

12. 9. 2023

Nakladatel

IEEE

Místo

Sinaia, Romania

ISBN

979-8-3503-3991-8

Kniha

IEEE International Conference on Emerging Technologies and Factory Automation, ETFA

Strany od

1

Strany do

8

Strany počet

8

BibTex

@inproceedings{BUT187824,
  author="Mohamed, S. and Van Der Veen, G. and Kuppens, H. and Vierimaa, M. and Kanellos, T. and Stoutjesdijk, H. and Masiero, R. and Määttä, K. and Van Der Weit J. W. and Ribeiro, G. and Bergmann, A. and Colombo, D. and Arenas, J. and Keary, A. and Goubej, M. and Rouxel, B. and Kilpeläinen, P. and Kadikis, R. and Armendia, M. and Blaha, P. and Stokkermans, J. and Čech, M. and Beltman, A.",
  title="The IMOCO4.E reference framework for intelligent motion control systems",
  booktitle="IEEE International Conference on Emerging Technologies and Factory Automation, ETFA",
  year="2023",
  pages="1--8",
  publisher="IEEE",
  address="Sinaia, Romania",
  doi="10.1109/ETFA54631.2023.10275410",
  isbn="979-8-3503-3991-8"
}