Abstract
Individual customer demands in special purpose machinery shift the focus towards efficient engineering. However, automated engineering approaches fail due to lack of an appropriate description language for the system modelling. Therefore, a categorisation of capabilities and functions is proposed, that can serve as basis for the description of machine parts in model-based approaches. As an example an approach that synthesises control code from a plant model, based on the description language developed in this paper, is presented.
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Helbig, T., Henning, S., Hoos, J. (2016). Efficient engineering in special purpose machinery through automated control code synthesis based on a functional categorisation. In: Niggemann, O., Beyerer, J. (eds) Machine Learning for Cyber Physical Systems. Technologien für die intelligente Automation. Springer Vieweg, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48838-6_9
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DOI: https://doi.org/10.1007/978-3-662-48838-6_9
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