Assessment of nonlinear system identification methods using the SmallSat spacecraft structure

[en] In this paper, several techniques for nonlinear system identification are applied to a real-world structure, the SmallSat spacecraft structure developed by EADS-Astrium. This composite structure comprises two vibration isolation systems, one of which possesses mechanical stops. The loading case considered in the present study is a random (local) excitation. A careful progression through the different steps of the system identification process, namely detection, characterization and parameter estimation, is carried out. Different methods are applied to data resulting from numerical experiments, without having access to the finite element model which generated these data.

Disciplines :

Aerospace & aeronautics engineering

Author, co-author :

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

Soula, L.

Vergniaud, J.B.

Newerla, A.

Language :

English

Title :

Assessment of nonlinear system identification methods using the SmallSat spacecraft structure

Publication date :

2011

Event name :

29th International Modal Analysis Conference

Event place :

Jacksonville, United States

Event date :

February 2011

Audience :

International

Main work title :

Proceedings of the 29th International Modal Analysis Conference

Available on ORBi :

since 06 May 2012

Statistics

Number of views

41 (0 by ULiège)

Number of downloads

0 (0 by ULiège)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

Bibliography

K. Worden, G.R. Tomlinson, Nonlinearity in Structural Dynamics: Detection, Identification and Modelling. Institute of Physics Publishing, Bristol and Philadelphia, 2001.
G. Kerschen, K. Worden, A.F. Vakakis, J.C. Golinval, Past, present and future of nonlinear system identification in structural dynamics, Mechanical Systems and Signal Processing 20 (2006), 505-592.
S.F. Masri, T.K. Caughey, A nonparametric identification technique for nonlinear dynamic problems, Journal of Applied Mechanics 46 (1979), 433-447.
I.J. Leontaritis, S.A. Billings, Input-output parametric models for nonlinear systems, part I: deterministic nonlinear systems, International Journal of Control 41 (1985), 303-328. (Pubitemid 15476363)
I.J. Leontaritis, S.A. Billings, Input-output parametric models for nonlinear systems, part II: stochastic nonlinear systems, International Journal of Control 41 (1985), 329-344. (Pubitemid 15476364)
C.M. Richards, R. Singh, Identification of multi-degree-of-freedom non-linear systems under random excitations by the reverse-path spectral method, Journal of Sound and Vibration 213 (1998), 673-708.
D.E. Adams, R.J. Allemang, A frequency domain method for estimating the parameters of a non-linear structural dynamic model through feedback, Mechanical Systems and Signal Processing 14 (2000), 637-656.
M. Ruzzene, A. Fasana, L. Garibaldi, B. Piombo, Natural frequencies and dampings identification using wavelet transform: application to real data, Mechanical Systems and Signal Processing 11 (1997), 207-218. (Pubitemid 127401955)
A.G. Russell, Thick skin, faceted, CFRP, monocoque tube structure for smallsats, Proceedings of the European Conference on Spacecraft Structures, Materials and Mechanical Testing, Noordwijk, The Netherlands, 2000.
P. Camarasa, S. Kiryenko, Shock attenuation system for spacecraft and adaptor (SASSA), Proceedings of the European Conference on Spacecraft Structures, Materials and Mechanical Testing, Toulouse, France, 2009.
G. Kerschen, P. De Boe, J.C. Golinval, K. Worden, Sensor validation using principal component analysis, Smart Materials and Structures 14 (2005), 36-42. (Pubitemid 40253469)
A. Hot, G. Kerschen, E. Foltte, S. Cogan, Detection and quantification of non-linear structural behavior using principal component analysis, Mechanical Systems and Signal Processing, in review.
C. Jordan, Essai sur la gomtrie n dimensions, Bulletin de la Socit mathmatique 3 (1875), 103-174.
A. Bjorck, G.H. Golub, Numerical methods for computing angles between linear subspaces, Mathematics of Computations 27(1973), 579-594.
G.H. Golub, C.F. Van Loan, Matrix Computations, The Johns Hopkins University Press, Baltimore, 1996.
K. Worden, Data processing and experimental design for the restoring force surface method, part 1 : integration and differentiation of measured time data, Mechanical Systems and Signal Processing 4 (1990), 295-319.
G. Kerschen, J.C. Golinval, K. Worden, Theoretical and experimental identification of a non-linear beam, Journal of Sound and Vibration 244 (2001), 597-613. (Pubitemid 32609711)
C.M. Richards, R. Singh, Feasibility of identifying non-linear vibratory systems consisting of unknown polynomial forms, Journal of Sound and Vibration 220 (1999), 413-450. (Pubitemid 129550053)
S. Marchesiello, Application of the conditioned reverse path method, Mechanical Systems and Signal Processing 17 (2003), 183-188.
G. Kerschen, V. Lenaerts, J.C. Golinval, Identification of a continuous structure with a geometrical non-linearity, part I: conditioned reverse path method, Journal of Sound and Vibration 262 (2003), 889-906.