Process simulation on single-board computers
Decentralised simulation in the field
DOI:
https://doi.org/10.17560/atp.v60i11-12.2388Keywords:
real-time simulation, (Open)Modelica, single-board computer, benchmarkAbstract
Simulation is already essential for the engineering of automation systems. Developments like high-value optimisation or new digital services in combination with predictive functionalities require simulation as part of the operating machine or plant. Current implementations use centralised simulation architectures or
integrate simulation workstations. This paper proposes a concept in combination with a prototypical implementation for the decentralised simulation of physical systems or processes in the field. The simulation models are executed on singleboard computers that promise to form a new element of machine automation
systems. To evaluate the concept, state-of-the-art simulation benchmarks have been executed. The results show the positive capability of SBCs for real-time simulations within the machine.
References
Rosen, R., Von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015). About the importance of autonomy and digital twins for the future of manufacturing. IFAC-PapersOnLine, 48(3), 567-572.
Shahim, N., & Møller, C. (2016, December). Economic justification of virtual commissioning in automation industry. In Proceedings of the 2016 Winter Simulation Conference (pp. 2430-2441). IEEE Press.
Vermaak, H., & Niemann, J. (2017, May). Virtual commissioning: A tool to ensure effective system integration. In Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM), 2017 IEEE International Workshop of (pp. 1-6). IEEE.
Thongnuch, S., & Fay, A. (2017, July). A practical simulation model generation for virtual commissioning. In Advanced Intelligent Mechatronics (AIM), 2017 IEEE International Conference on (pp. 1077-1082). IEEE.
Barth, M., & Fay, A. (2013). Automated generation of simulation models for control code tests. Control Engineering Practice, 21(2), 218-230.
Boer, C. A., De Bruin, A., Verbraeck, A. (2006). Distributed simulation in industry-a survey part 2-experts on distributed simulation. In Simulation Conference, 2006, WSC 06, Proceedings of the Winter, IEEE, 1061-1068.
Dotoli, M., Fay, A., Miśkowicz, M., & Seatzu, C. (2018). An overview of current technologies and emerging trends in factory automation. International Journal of Production Research, 1-21.
Kraft, N. (o. J.) Open Source SW im industriellen Einsatz. Abgerufen von: https://subs.emis.de/LNI/Proceedings/Proceedings154/gi-proc-154-244.pdf
Gómez, F., Vanfretti, L., & Olsen, S. H. (2014, October). A Modelica-based execution and simulation engine for automated power system model validation. In Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES (pp. 1-6). IEEE.
Schneider, G. F., Peßler, G. A., & Steiger, S. (2017, July). Modelling and Simulation of Standardised Control Functions from Building Automation. In Proceedings of the 12th International Modelica Conference, Prague, Czech Republic, May 15-17, 2017 (No. 132, pp. 209-218). Linköping University Electronic Press.
Hoernicke, M., Fay, A., & Barth, M. (2015, September). Virtual plants for brown-field projects. In Emerging Technologies & Factory Automation (ETFA), 2015 IEEE 20th Conference on (pp. 1-8). IEEE.
Dizqah, A. M., Maheri, A., Busawon, K., & Fritzson, P. (2013, April). Acausal modelling and dynamic simulation of the standalone wind-solar plant using modelica. In Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on (pp. 580-585). IEEE.
Kulhánek, T., Ježek, F., Mateják, M., Šilar, J., & Kofránek, J. (2015, August). Experiences in teaching of modeling and simulation with emphasize on equation-based and acausal modeling techniques. In Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE (pp. 3683-3686). IEEE.
Engelson, V., Larsson, H., & Fritzson, P. (1999, July). A design, simulation and visualization environment for object-oriented mechanical and multi-domain models in Modelica. In iv (p. 188). IEEE.
Titus, J. (1976). Build dyna-micro an 8080 microcomputer, Construction manual from the Maker-scene. Abgerufen von: https://de.scribd.com/document/234922267/re-1976-06
Barth, M. (2017). Mikrorechner in modularen Anlagen. atp magazin, 59(03), 30-39.
Patil, S. A., & Pinki, V. (2017). Home Automation Using Single Board Computing as an Internet of Things Application. In Proceedings of International Conference on Communication and Networks (pp. 245-253). Springer, Singapore.
Axceleon, Inc. (2005). Multi-Core Utilization without Threading: EnFuzion Lets Single-Threaded Applications Execute in Parallel, Without Re-Writing. Abgerufen von: http://www.cloudfuzion.com/info/AxceleonIntelSolution_Profile.pdf
Frenkel, J., Schubert, C., Kunze, G., Fritzson, P., Sjölund, M., & Pop, A. (2011, June). Towards a benchmark suite for Modelica compilers: Large models. In Proceedings of the 8th International Modelica Conference; March 20th-22nd; Technical Univeristy; Dresden; Germany (No. 63, pp. 143-152). Linköping University Electronic Press.
Bélanger, J., Venne, P., Paquin, J.-N. (2018). The What, Where and Why of Real-Time Simulation. Abgerufen von:
www.opal-rt.com
Marti, J. R., & Lin, J. (1989). Suppression of numerical oscillations in the EMTP. IEEE Power Engineering Review, 9(5), 71-72.
Noda, T., Takenaka, K., & Inoue, T. (2009). Numerical integration by the 2-stage diagonally implicit Runge-Kutta method for electromagnetic transient simulations. IEEE Transactions on Power Delivery, 24(1), 390-399.
Hopfgarten, S. (2017). Objektorientierte Simulation. Technische Universität Ilmenau.
OpenModelica. (2018). Roadmap. Abgerufen von: https://openmodelica.org/home/roadmap
T. Jung, N. Jazdi, and M. Weyrich. (2018). Dynamische Co-Simulation von Automatisierungssystemen und ihren Komponenten im Internet der Dinge. In VDI Tagungsband Automation, 2018, Baden-Baden.
Published
Issue
Section
License
Die Zeitschrift und alle in ihr enthaltenen Beiträge und Abbildungen sind urheberrechtlich geschützt. Jede Verwertung außerhalb der engen Grenzen des Urheberrechtsgesetzes ist ohne Zustimmung des Verlages unzulässig und strafbar. Das gilt insbesondere für Vervielfältigungen, Übersetzungen, Mikroverfilmungen und die Einspeicherung und Bearbeitung in elektronischen Systemen. Auch die Rechte der Wiedergabe durch Vortrag, Funk- und Fernsehsendung, im Magnettonverfahren oder ähnlichem Wege bleiben vorbehalten.
