Adaptive Pseudospectral approach-based Input Trajectory Optimization for Spacecraft Inertia Parameter Identification

Shiyi Li; Kerun Liu; Ming Liu

doi:10.1145/3727648.3727700

Adaptive Pseudospectral approach-based Input Trajectory Optimization for Spacecraft Inertia Parameter Identification

Shiyi Li
, Kerun Liu^*
, Ming Liu

^*Corresponding author for this work

Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper investigates the problem of inertia parameter identification for on-orbit spacecraft, mainly studying the design of an optimized input trajectory for system identification. Firstly, the attitude dynamics of spacecraft is introduced and then transformed into an overdetermined linear equation for further analysis. Then, the optimization objective is established, considering the energy consumption during system identification. Moreover, through the adaptive pseudospectral approach, the optimization problem is addressed and the optimal system input is obtained. Finally, the Dual Kalman Filter is introduced to estimate the system state and the inertia parameters simultaneously and the effectiveness of the proposed method is verified via a numerical simulation.

Original language	English
Title of host publication	Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025
Publisher	Association for Computing Machinery, Inc
Pages	310-315
Number of pages	6
ISBN (Electronic)	9798400712647
DOIs	https://doi.org/10.1145/3727648.3727700
State	Published - 2 Jun 2025
Event	4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025 - Hefei, China Duration: 10 Jan 2025 → 12 Jan 2025

Publication series

Name	Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025

Conference

Conference	4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025
Country/Territory	China
City	Hefei
Period	10/01/25 → 12/01/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Adaptive pseudospectral approach
Dual Kalman filter
Input optimization
Spacecraft system identification

Access to Document

10.1145/3727648.3727700

Cite this

Li, S., Liu, K., & Liu, M. (2025). Adaptive Pseudospectral approach-based Input Trajectory Optimization for Spacecraft Inertia Parameter Identification. In Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025 (pp. 310-315). (Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025). Association for Computing Machinery, Inc. https://doi.org/10.1145/3727648.3727700

Li, Shiyi ; Liu, Kerun ; Liu, Ming. / Adaptive Pseudospectral approach-based Input Trajectory Optimization for Spacecraft Inertia Parameter Identification. Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025. Association for Computing Machinery, Inc, 2025. pp. 310-315 (Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025).

@inproceedings{24287bafcd994ba5890c17f2c8fc1cd6,

title = "Adaptive Pseudospectral approach-based Input Trajectory Optimization for Spacecraft Inertia Parameter Identification",

abstract = "This paper investigates the problem of inertia parameter identification for on-orbit spacecraft, mainly studying the design of an optimized input trajectory for system identification. Firstly, the attitude dynamics of spacecraft is introduced and then transformed into an overdetermined linear equation for further analysis. Then, the optimization objective is established, considering the energy consumption during system identification. Moreover, through the adaptive pseudospectral approach, the optimization problem is addressed and the optimal system input is obtained. Finally, the Dual Kalman Filter is introduced to estimate the system state and the inertia parameters simultaneously and the effectiveness of the proposed method is verified via a numerical simulation.",

keywords = "Adaptive pseudospectral approach, Dual Kalman filter, Input optimization, Spacecraft system identification",

author = "Shiyi Li and Kerun Liu and Ming Liu",

note = "Publisher Copyright: {\textcopyright} 2025 Copyright held by the owner/author(s).; 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025 ; Conference date: 10-01-2025 Through 12-01-2025",

year = "2025",

month = jun,

day = "2",

doi = "10.1145/3727648.3727700",

language = "英语",

series = "Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025",

publisher = "Association for Computing Machinery, Inc",

pages = "310--315",

booktitle = "Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025",

}

Li, S, Liu, K & Liu, M 2025, Adaptive Pseudospectral approach-based Input Trajectory Optimization for Spacecraft Inertia Parameter Identification. in Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025. Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025, Association for Computing Machinery, Inc, pp. 310-315, 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025, Hefei, China, 10/01/25. https://doi.org/10.1145/3727648.3727700

Adaptive Pseudospectral approach-based Input Trajectory Optimization for Spacecraft Inertia Parameter Identification. / Li, Shiyi; Liu, Kerun; Liu, Ming.
Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025. Association for Computing Machinery, Inc, 2025. p. 310-315 (Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Adaptive Pseudospectral approach-based Input Trajectory Optimization for Spacecraft Inertia Parameter Identification

AU - Li, Shiyi

AU - Liu, Kerun

AU - Liu, Ming

PY - 2025/6/2

Y1 - 2025/6/2

N2 - This paper investigates the problem of inertia parameter identification for on-orbit spacecraft, mainly studying the design of an optimized input trajectory for system identification. Firstly, the attitude dynamics of spacecraft is introduced and then transformed into an overdetermined linear equation for further analysis. Then, the optimization objective is established, considering the energy consumption during system identification. Moreover, through the adaptive pseudospectral approach, the optimization problem is addressed and the optimal system input is obtained. Finally, the Dual Kalman Filter is introduced to estimate the system state and the inertia parameters simultaneously and the effectiveness of the proposed method is verified via a numerical simulation.

AB - This paper investigates the problem of inertia parameter identification for on-orbit spacecraft, mainly studying the design of an optimized input trajectory for system identification. Firstly, the attitude dynamics of spacecraft is introduced and then transformed into an overdetermined linear equation for further analysis. Then, the optimization objective is established, considering the energy consumption during system identification. Moreover, through the adaptive pseudospectral approach, the optimization problem is addressed and the optimal system input is obtained. Finally, the Dual Kalman Filter is introduced to estimate the system state and the inertia parameters simultaneously and the effectiveness of the proposed method is verified via a numerical simulation.

KW - Adaptive pseudospectral approach

KW - Dual Kalman filter

KW - Input optimization

KW - Spacecraft system identification

UR - https://www.scopus.com/pages/publications/105021308932

U2 - 10.1145/3727648.3727700

DO - 10.1145/3727648.3727700

M3 - 会议稿件

AN - SCOPUS:105021308932

T3 - Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025

SP - 310

EP - 315

BT - Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025

PB - Association for Computing Machinery, Inc

T2 - 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025

Y2 - 10 January 2025 through 12 January 2025

ER -

Li S, Liu K, Liu M. Adaptive Pseudospectral approach-based Input Trajectory Optimization for Spacecraft Inertia Parameter Identification. In Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025. Association for Computing Machinery, Inc. 2025. p. 310-315. (Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, CAICE 2025). doi: 10.1145/3727648.3727700

Adaptive Pseudospectral approach-based Input Trajectory Optimization for Spacecraft Inertia Parameter Identification

Abstract

Publication series

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UN SDGs

Keywords

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