Recently, the connection between manufacturing systems and their digital counterparts has become of great significance for planning and control activities in a short-term scope. However, the alignment of a digital model with a very dynamic system is not always guaranteed, and traditional validation techniques cannot be used since they are designed for off-line simulators and rely on the availability of a large amount of data. This work develops a novel validation procedure inspired by signal-processing theory and a novel approach called quasi Trace Driven Simulation. The procedure is coherent with a Real-Time Simulation framework since it does not require large datasets to provide a good solution. The approach has been tried on test cases which demonstrated its applicability to a manufacturing environment.

Real-time validation of digital models for manufacturing systems: A novel signal-processing-based approach

Lugaresi G.;Matta A.
2019-01-01

Abstract

Recently, the connection between manufacturing systems and their digital counterparts has become of great significance for planning and control activities in a short-term scope. However, the alignment of a digital model with a very dynamic system is not always guaranteed, and traditional validation techniques cannot be used since they are designed for off-line simulators and rely on the availability of a large amount of data. This work develops a novel validation procedure inspired by signal-processing theory and a novel approach called quasi Trace Driven Simulation. The procedure is coherent with a Real-Time Simulation framework since it does not require large datasets to provide a good solution. The approach has been tried on test cases which demonstrated its applicability to a manufacturing environment.
2019
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, CASE 2019
978-1-7281-0356-3
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1110279
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