Modal parameter identification of flexible spacecraft using the covariance-driven stochastic subspace identification (SSI-COV) method
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.
- Publication:
-
Acta Mechanica Sinica
- Pub Date:
- August 2016
- DOI:
- 10.1007/s10409-016-0579-x
- Bibcode:
- 2016AcMSn..32..710X
- Keywords:
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- Spacecraft;
- Modal parameter;
- On-orbit identification;
- Stochastic subspace identification