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Grey-box nonlinear state-space modelling for mechanical vibrations identification
Noël, Jean-Philippe; Schoukens, Johan; Kerschen, Gaëtan
2015In IFAC-PapersOnLine, 48 (28), p. 817-822
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Keywords :
Nonlinear system identification; mechanical systems; state-space modelling; nonlinear subspace initialisation; maximum likelihood optimisation; Silverbox benchmark
Abstract :
[en] In the present paper, a flexible and parsimonious model of the vibrations of nonlinear mechanical systems is introduced in the form of state-space equations. It is shown that the nonlinear model terms can be formed using a limited number of output measurements. A two-step identification procedure is derived for this grey-box model, integrating nonlinear subspace initialisation and maximum likelihood optimisation. The complete procedure is demonstrated on the Silverbox benchmark, which is an electrical mimicry of a single-degree-of-freedom mechanical system with one displacement-dependent nonlinearity.
Disciplines :
Aerospace & aeronautics engineering
Author, co-author :
Noël, Jean-Philippe ;  Université de Liège > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux
Schoukens, Johan;  Vrije Universiteit Brussel - VUB
Kerschen, Gaëtan  ;  Université de Liège > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux
Language :
English
Title :
Grey-box nonlinear state-space modelling for mechanical vibrations identification
Publication date :
October 2015
Event name :
17th IFAC Symposium on System Identification
Event place :
Beijing, China
Event date :
19 October - 21 October 2015
Audience :
International
Journal title :
IFAC-PapersOnLine
ISSN :
2405-8971
eISSN :
2405-8963
Publisher :
Elsevier
Volume :
48
Issue :
28
Pages :
817-822
Peer reviewed :
Peer Reviewed verified by ORBi
Funders :
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
UE - Union Européenne [BE]
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