Analysis of the model-based corrector approach for explicit cosimulation

In many industries, the focus of testing is currently shifting away from classical hardware tests to the virtual verification and validation of products. To this end, cosimulation has become a common tool for the simulation and analysis of complex systems that span multiple engineering domains and u...

Full description

Bibliographic Details
Main Authors: Haid, T. (Author), Stettinger, G. (Author), Watzenig, D. (Author)
Format: Article
Language:English
Published: Springer Science and Business Media B.V. 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 02670nam a2200373Ia 4500
001 0.1007-s11044-022-09822-3
008 220421s2022 CNT 000 0 und d
020 |a 13845640 (ISSN) 
245 1 0 |a Analysis of the model-based corrector approach for explicit cosimulation 
260 0 |b Springer Science and Business Media B.V.  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1007/s11044-022-09822-3 
520 3 |a In many industries, the focus of testing is currently shifting away from classical hardware tests to the virtual verification and validation of products. To this end, cosimulation has become a common tool for the simulation and analysis of complex systems that span multiple engineering domains and usually involve multiple, heterogeneous and application-specific simulation environments. In particular, the so-called explicit cosimulation allows a widespread application since it has minimal requirements regarding the capabilities of the tool interfaces. However, explicit cosimulation also poses a numerical challenge, especially when the system includes stiff coupling loops. The model-based corrector approach presented in Haid et al. (The 5th Joint International Conference on Multibody System Dynamics, 2018) provides a method for the efficient cosimulation of such systems. In this article, this model-based corrector approach is extended to additional extrapolation methods. By modeling the cosimulation process through a linear recurrence equation and applying it to the two-mass oscillator test model, the influence of model-based correction on the underlying extrapolation methods in terms of stability, accuracy, and error convergence is analyzed. It is shown that adding model-based correction can significantly improve the overall cosimulation, allowing > 10 times larger macrostep sizes or reducing the cosimulation error by a factor of 10 or more in some cases. © 2022, The Author(s). 
650 0 4 |a Accuracy analysis 
650 0 4 |a Accuracy analysis 
650 0 4 |a Cosimulation 
650 0 4 |a Error convergence 
650 0 4 |a Error convergence 
650 0 4 |a Errors 
650 0 4 |a Explicit cosimulation 
650 0 4 |a Explicit cosimulation 
650 0 4 |a Extrapolation 
650 0 4 |a Extrapolation methods 
650 0 4 |a Hardware test 
650 0 4 |a Model-based correction 
650 0 4 |a Model-based corrections 
650 0 4 |a Model-based OPC 
650 0 4 |a Propagation matrix 
650 0 4 |a Propagation matrix 
650 0 4 |a Stability analysis 
650 0 4 |a Stability analyze 
700 1 0 |a Haid, T.  |e author 
700 1 0 |a Stettinger, G.  |e author 
700 1 0 |a Watzenig, D.  |e author 
773 |t Multibody System Dynamics