Restarting algorithms for simulation problems with discontinuities

Mohammadi, Fatemeh; Arévalo, Carmen; Führer, Claus (2014). Restarting algorithms for simulation problems with discontinuities. Tummescheit, Hubertus; Årzén, Karl-Erik (Eds.). Linköping Electronic Conference Proceedings, 819 - 826. 10th International Modelica Conference. Lund, Sweden: Linköping University Electronic Press
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Conference Proceeding/Paper | Published | English
Authors:
Mohammadi, Fatemeh ; Arévalo, Carmen ; Führer, Claus
Editors:
Tummescheit, Hubertus ; Årzén, Karl-Erik
Department:
Mathematics (Faculty of Engineering)
Numerical Analysis
Project:
LCCC
Research Group:
Numerical Analysis
Abstract:
Modelica has in its language support for describing discontinuities; so-called events. Modern integrating environments; like Assimulo; provide elaborated event detection and event handling methods. In addition; the overall performance of a simulation of models with discontinuities (hybrid models) depends strongly on methods for restarting integration after event detection. The presented paper reviews two restarting methods; based oRunge--Kutta starters for multistep methods; and presents first experiments on a hybrid system described in Modelica and simulated by JModelica.org/PyFMI and Assimulo.
Keywords:
Events ; discontinuities ; hybrid systems ; multistep method ; Runge–Kutta method ; simulation restart
ISBN:
978-91-7519-380-9
LUP-ID:
d8e6ba44-e4ad-40ed-b611-d4d3ceaabe70 | Link: https://lup.lub.lu.se/record/d8e6ba44-e4ad-40ed-b611-d4d3ceaabe70 | Statistics

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