A stochastic framework for subspace identification of a strongly nonlinear aerospace structure

Noël, Jean-Philippe; Schoukens, Johan; Kerschen, Gaëtan

doi:10.1007/978-3-319-04522-1_16

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A stochastic framework for subspace identification of a strongly nonlinear aerospace structure

Noël, Jean-Philippe; Schoukens, Johan; Kerschen, Gaëtan

2014 • In Proceedings of the International Modal Analysis Conference (IMAC) XXXII

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https://hdl.handle.net/2268/161925

DOI
10.1007/978-3-319-04522-1_16

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Keywords :

System identification; maximum likelihood; subspace method; aerospace structure; nonsmooth nonlinearities

Abstract :

[en] The present study exploits the maximum likelihood identification framework for deriving statistically-optimal models of nonlinear mechanical systems. The identification problem is formulated in the frequency domain, and model parameters are calculated by minimising a weighted least-squares cost function. Initial values of the model parameters are obtained by means of a nonlinear subspace algorithm. The complete identification methodology is first demonstrated on a Duffing oscillator, prior to being applied to a full-scale aerospace structure.

Disciplines :

Aerospace & aeronautics engineering

Author, co-author :

Noël, Jean-Philippe ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux

Schoukens, Johan; Vrije Universiteit Brussel - VUB > ELEC

Kerschen, Gaëtan ; Université de Liège - ULiège > Département d'aérospatiale et mécanique > Laboratoire de structures et systèmes spatiaux

Language :

English

Title :

A stochastic framework for subspace identification of a strongly nonlinear aerospace structure

Publication date :

February 2014

Event name :

International Modal Analysis Conference (IMAC) XXXII

Event organizer :

SEM

Event place :

Orlando, United States - Florida

Event date :

du 2 février 2014 au 6 février 2014

Audience :

International

Main work title :

Proceedings of the International Modal Analysis Conference (IMAC) XXXII

Funders :

FRIA - Fonds pour la Formation à la Recherche dans l'Industrie et dans l'Agriculture [BE]

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since 23 January 2014

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Bibliography

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