Reference : A system-level model reduction technique for efficient simulation of flexible multibody ...

	Document type :	Scientific congresses and symposiums : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science Engineering, computing & technology : Electrical & electronics engineering Engineering, computing & technology : Mechanical engineering
	To cite this reference:	http://hdl.handle.net/2268/27070

Title :	A system-level model reduction technique for efficient simulation of flexible multibody dynamics
Language :	English
Author, co-author :	Heirman, Gert H.K [Department of Mechanical Engineering Katholieke Universiteit Leuve > > > >]
	Bruls, Olivier [Université de Liège - ULg > Département d'aérospatiale et mécanique > Laboratoire des Systèmes Multicorps et Mécatroniques >]
	Desmet, Wim [Department of Mechanical Engineering Katholieke Universiteit Leuve > > > >]
Publication date :	Jun-2009
Main document title :	Proceedings of the Multibody Dynamics ECCOMAS Conference
Publisher :	K. Arczewski, J. Fraczek, M. Wojtyra
Pages :	1-16
Peer reviewed :	No
Audience :	International
Event name :	Multibody Dynamics 2009, ECCOMAS Thematic Conference
Event date :	29 June–2 July 2009
Event place (city) :	Warsaw
Event country :	Poland
Keywords :	[en] Non-linear Model Reduction, Flexible Multibody Dynamics, Moving Connection Points, Global Modal Parametrization, Real-Time Simulation
Abstract :	[en] In flexible multibody dynamics, body-level model reduction is typically used to decrease the computational load of a simulation. Body-level model reduction is generally performed by means of Component Mode Synthesis. This offers an acceptable solution for many applications, but does not result in significant model reduction for systems with moving connection points, e.g. due to a flexible sliding joint. In this research, Global Modal Parametrization, a model reduction technique initially proposed for real-time control of flexible mechanisms, is further developed to speed up simulation of multibody systems. The reduction is achieved by a system-level modal description, as opposed to the classic body-level modal description. As the dynamics is configuration-dependent, the system-level modal description is chosen configuration-dependent in such a way that the system dynamics are optimally described with a minimal number of degrees of freedom. Moving connection points do not pose a problem to the proposed model reduction methodology. The complexity of simulation of the reduced model equations is estimated. The applicability to systems with moving connection points is highlighted. In a numerical experiment, simulation results for the original model equations are compared with simulation results for the model equations obtained after model reduction, showing a good match. The approximation errors resulting from the model reduction techniques are investigated by comparing results for different mode sets. The mode set affects the approximation error similarly as it does in linear modal synthesis.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/2268/27070

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