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T. Anthony, G. Andersen (1995)
On-orbit modal identification of the Hubble Space TelescopeProceedings of 1995 American Control Conference - ACC'95, 1
(2004)
State space modeling and identification of stochastic linear structural systems
H.M. Kim (1997)
Mir structural dynamics experiment: a flight experiment development. In: Proceedings of the 38th AIAA SDM ConferenceProceedings of the 38th AIAA SDM Conference
H.M. Kim (1999)
Mir structural dynamics experiment: first test and model refinement. In: Proceedings of the 40th SDM ConferenceProceedings of the 40th SDM Conference
O. Paweł (1980)
Solution of the Kalman filtering problem in control and modeling of a double inverted pendulum with rolling friction. Meas. Autom. Robot. 1
E. Reynders, G. Roeck (2006)
Reference-based combined deterministic–stochastic subspace identification for experimental and operational modal analysisMechanical Systems and Signal Processing, 22
Xiaojuan Song, B. Yue, Wenjing Wu (2015)
Investigation on attitude disturbance control and vibration suppression for fuel-filled flexible spacecraftActa Mechanica Sinica, 31
D. Michael (2013)
Efficient multi-order uncertainty computation for stochastic subspace identification. Mech. Syst. Signal Process. 38
Hyoung Kim, E. Bokhour (1997)
MIR STRUCTURAL DYNAMICS EXPERIMENT: A FLIGHT EXPERIMENT DEVELOPMENT
(1995)
ETS-VI on-orbit parameter estimation by random excitation
P. Olejnik, J. Awrejcewicz, M. Niełaczny (2013)
Solution of the Kalman filtering problem in control and modeling of a double inverted pendulum with rolling friction
A. Velazquez, R. Swartz (2015)
Output-only cyclo-stationary linear-parameter time-varying stochastic subspace identification method for rotating machinery and spinning structuresJournal of Sound and Vibration, 337
S. Adachi, I. Yamaguchi, T. Kida, T. Sekiguchi, Katsuhiko Yamada, Y. Chida (1999)
On-orbit system identification experiments on Engineering Test Satellite-VIControl Engineering Practice, 7
K. Mohamed (2003)
Shuttle-ISS Flight-7A on Orbit Test Verification: Pre and Post Flight Analysis. Society for Experimental Mechanics
H.M. Kim (2000)
Modal analysis and model correlation of the Mir Space Station. In: Proceedings of the 18th IMAC Conference on Computational Challenges in Structural DynamicsProceedings of the 18th IMAC Conference on Computational Challenges in Structural Dynamics
(2003)
Shuttle-ISS Flight-7A onOrbit Test Verification: Pre and Post Flight Analysis
I. Yamaguchi (1995)
Experimental demonstration of LSS system identification by eigensystem realization algorithm. In: Proceedings of American Control ConferenceProceedings of American Control Conference
I. Yamaguchi, T. Kida, K. Komatsu, M. Sano, T. Sekiguchi, S. Ishikawa, S. Ichikawa, Katsuhiko Yamada, Y. Chida, S. Adachi (1997)
ETS-VI On-Orbit System Identification ExperimentsJsme International Journal Series C-mechanical Systems Machine Elements and Manufacturing, 40
Hyoung Kim, M. Kaouk (2000)
Modal Analysis and Model Correlation of the Mir Space Station, 4062
S. Ishikawa (1995)
ETS-VI on-orbit parameter estimation by random excitation. In: Proceedings of Astrodynamics SymposiumProceedings of Astrodynamics Symposium
Guowen Zhang, B. Tang, Guangwu Tang (2012)
An improved stochastic subspace identification for operational modal analysisMeasurement, 45
Hyoung Kirn, M. Kaouk (1998)
MIR STRUCTURAL DYNAMICS EXPERIMENT: FIRST PHASE TEST AND DATA ANALYSIS
(1997)
Modal parameter identification of controlled flexible structures
M. Döhler, L. Mevel (2013)
Efficient Multi-Order Uncertainty Computation for Stochastic Subspace IdentificationMechanical Systems and Signal Processing, 38
K. Mohamed (2002)
Modal Analysis and Correlation of International Space Station 4A Mated Configuration. Society for Experimental Mechanics
I. Yamaguchi, T. Kida, T. Kasai (1995)
Experimental demonstration of LSS system identification by eigensystem realization algorithmProceedings of 1995 American Control Conference - ACC'95, 1
H.M. Kim (1998)
Mir structural dynamics experiment: first phase test and data analysis. In: Proceedings of the 39th AIAA SDM ConferenceProceedings of the 39th AIAA SDM Conference
A. Tobin (1995)
On-orbit modal identification of the Hubble space telescope. In: Proceeding of the American Control ConferenceProceeding of the American Control Conference
B. Pridham (2004)
State space modeling and identification of stochastic linear structural systems. [Ph.D. Thesis]
B. Peeters, G. Roeck (2001)
Stochastic System Identification for Operational Modal Analysis: A ReviewJournal of Dynamic Systems Measurement and Control-transactions of The Asme, 123
Abstract In this paper, the on-orbit identification of modal parameters for a spacecraft is investigated. Firstly, the coupled dynamic equation of the system is established with the Lagrange method and the stochastic state-space model of the system is obtained. Then, the covariance-driven stochastic subspace identification (SSI-COV) algorithm is adopted to identify the modal parameters of the system. In this algorithm, it just needs the covariance of output data of the system under ambient excitation to construct a Toeplitz matrix, thus the system matrices are obtained by the singular value decomposition on the Toeplitz matrix and the modal parameters of the system can be found from the system matrices. Finally, numerical simulations are carried out to demonstrate the validity of the SSI-COV algorithm. Simulation results indicate that the SSI-COV algorithm is effective in identifying the modal parameters of the spacecraft only using the output data of the system under ambient excitation.
"Acta Mechanica Sinica" – Springer Journals
Published: Aug 1, 2016
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