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Distributed Co-simulation of Embedded Control Software Using INTO-CPS

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Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2017)

Abstract

The systematic engineering of Cyber-Physical Systems is a challenging endeavour. In order to manage the complexity of such multi-disciplinary development collaborative modelling and co-simulation has been proposed. In this setting models are made of different constituent models with different mathematical formalisms using different tools. This paper demonstrates how this can be achieved for a commercial system developed by MAN Diesel & Turbo using such a co-simulation approach. The tool chain is centered around a de-facto standard called Functional Mock-up Interface, and it is open for any tools that can support version 2.0 of this standard for co-simulation. The application support emission reduction control systems for large two-stroke engines which is strategically important. It is demonstrated how this approach can reduce the need for expensive tests on the real system in order to reduce the overall costs of validation.

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Notes

  1. 1.

    http://www.imo.org.

  2. 2.

    The tool chain is available as open source, owned and further developed by the INTO-CPS Association, see http://into-cps.org/.

  3. 3.

    http://fmi-standard.org.

  4. 4.

    The protocol is available at https://into-cps-association.github.io/simulation/coe.html.

  5. 5.

    See https://www.eclipse.org/4diac/.

  6. 6.

    See https://af3.fortiss.org/.

  7. 7.

    http://www.modelon.com/products/fmi-tools/fmi-toolbox-for-matlabsimulink/.

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Acknowledgements

The work presented here is partially supported by the INTO-CPS project funded by the European Commission’s Horizon 2020 programme under grant agreement number 664047.

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Correspondence to Nicolai Pedersen .

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Pedersen, N., Lausdahl, K., Sanchez, E.V., Thule, C., Larsen, P.G., Madsen, J. (2019). Distributed Co-simulation of Embedded Control Software Using INTO-CPS. In: Obaidat, M., Ören, T., Rango, F. (eds) Simulation and Modeling Methodologies, Technologies and Applications . SIMULTECH 2017. Advances in Intelligent Systems and Computing, vol 873. Springer, Cham. https://doi.org/10.1007/978-3-030-01470-4_3

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