On-Orbit System Identification Experiments of the Engineering Test Satellite-VIII

Kasai, Tokio; Yamaguchi, Isao; Igawa, Hirotaka; Mitani, Shinji; Ohtani, Takashi; Ikeda, Masafumi; Sunagawa, Kenji

doi:10.2322/tstj.7.pc_79

Cited by 6 publications

(12 citation statements)

References 1 publication

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“…On-orbit identification experiments of spacecrafts that determine the modal parameters have been performed in some studies [1][2][3], such as the Galileo spacecraft and Hubble space telescope [4][5]. However, these identification experiments are mostly based on the linear time-invariant (LTI) system.…”

Section: Introductionmentioning

confidence: 99%

“…Then, the system modal parameters and state-space model matrices {A, B, C} are determined. However, the ERA was mainly based on the time-invariant and slow time-varying system [1][2][3][4]11]. For common timevarying system, the ERA is not always suitable.…”

Section: Introductionmentioning

confidence: 99%

“…In existing identification algorithm for on-orbit spacecraft, the eigensystem realization algorithm (ERA) was mostly often used for the identification of modal parameters [1][2][3][4][5][9][10]. The ERA is a typical system realization method.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Time-varying modal parameters identification of large flexible spacecraft using a recursive algorithm

Ni¹,

Wu²,

Wu³

2016

International Journal of Aeronautical and Space Sciences

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In existing identification methods for on-orbit spacecraft, such as eigensystem realization algorithm (ERA) and subspace method identification (SMI), singular value decomposition (SVD) is used frequently to estimate the modal parameters. However, these identification methods are often used to process the linear time-invariant system, and there is a lower computation efficiency using the SVD when the system order of spacecraft is high. In this study, to improve the computational efficiency in identifying time-varying modal parameters of large spacecraft, a faster recursive algorithm called fast approximated power iteration (FAPI) is employed. This approach avoids the SVD and can be provided as an alternative spacecraft identification method, and the latest modal parameters obtained can be applied for updating the controller parameters timely (e.g. the self-adaptive control problem). In numerical simulations, two large flexible spacecraft models, the Engineering Test Satellite-VIII (ETS-VIII) and Soil Moisture Active/Passive (SMAP) satellite, are established. The identification results show that this recursive algorithm can obtain the time-varying modal parameters, and the computation time is reduced significantly.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Time-varying modal parameters identification of large flexible spacecraft using a recursive algorithm

Ni¹,

Wu²,

Wu³

2016

International Journal of Aeronautical and Space Sciences

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show abstract

“…[1][2][3][4][5] For instance, in the 1980s and 90s, Juang et al identified the modal parameters and corresponding state-space model parameters for the Galileo spacecraft and Hubble Space Telescope using the eigensystem realization algorithm (ERA). 6,7) However, these identification experiments are mostly based on the linear time-invariant (LTI) system.…”

mentioning

confidence: 99%

“…[3][4][5][6][7]11,12) The ERA is a typical system realization method. This approach constructs the Hankel matrix using complete input and output (I-O) data sequences over a period of time and utilizes singular value decomposition (SVD) at each time step to extract the observability matrices.…”

mentioning

confidence: 99%

Identification of Time-varying Frequencies and Model Parameters for Large Flexible On-orbit Satellites Using a Recursive Algorithm

Tan

2016

Trans. Japan Soc. Aero. S Sci.

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Today, the primary identification methods in time domain for spacecraft are based on singular value decomposition (SVD), such as the eigensystem realization algorithm (ERA) or stochastic subspace identification (SSI), which requires significant computation time. However, some control problems, such as self-adaptive control, need the latest modal parameters to update controller parameters online. To improve computational efficiency, the fast approximated power iteration (FAPI) recursive algorithm, which avoids SVD, is applied as an alternative method to identify the time-varying frequencies of large flexible satellites. Moreover, an improved recursive form is also proposed to obtain the time-varying input matrix in a state-space model by rewriting the relation of the input and output data. In numerical simulations, the time-varying model of the Engineering Test Satellite-VIII (ETS-VIII) is established. The results illustrate that this recursive algorithm can implement time-varying parameter online identification and it has a better computational efficiency than the SVD-based methods.

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Modal frequency identification using the predictor subspace approach for a space solar power station

Ni,

Wu,

2024

J. Phys.: Conf. Ser.

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The system’s modal frequency parameters are determined by using a technique known as predictor-based subspace identification (PBSID), which is based on the dynamic properties of space solar power stations’ huge size and low frequency. First, the dynamic equation for the space solar power station with an Abacus configuration’s attitude-vibration coupling is developed. Additionally, the PBSID approach is used to build the relevant parameter matrix, and singular value decomposition (SVD) is chosen to evaluate the system’s structural frequency parameters. The right input signals are created via numerical simulation, and the best sensor placement technique yields the associated vibration response signals. The computing results then demonstrate that the modal frequency characteristics of the space solar power station may be successfully identified by the PBSID method, which is based on SVD. Additionally, the findings demonstrate the superior noise immunity capabilities of the PBSID algorithm when compared to the standard modal parameter identification approaches.

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On-Orbit System Identification Experiments of the Engineering Test Satellite-VIII

Cited by 6 publications

References 1 publication

Time-varying modal parameters identification of large flexible spacecraft using a recursive algorithm

Time-varying modal parameters identification of large flexible spacecraft using a recursive algorithm

Identification of Time-varying Frequencies and Model Parameters for Large Flexible On-orbit Satellites Using a Recursive Algorithm

Modal frequency identification using the predictor subspace approach for a space solar power station

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