TY - GEN
T1 - Motion Parameters and State Estimation of Non-cooperative Target
AU - Zhang, Ziyang
AU - Yang, Guocai
AU - Jin, Minghe
AU - Fan, Shaowei
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - This paper proposes a state estimation method of non-cooperative target, which can be used to identify the target satellite motion. Firstly, tumbling motion of the target is analyzed, while dynamic of non-cooperative target is built. Secondly, an estimate method based on least squares method is proposed to identify the kinematic and dynamic parameters. Both of them are based on least squares methods. Thirdly, with parameters estimated, error state Kalman filter is used to estimate the angular velocity and filter attitude of the target at the same time. Finally, a simulation experiment is carried out to verify the effectiveness of the method. Simulation results reveal the method proposed by this paper can identify parameter and estimate motion state accurately, which is meaningful for non-cooperative target capture.
AB - This paper proposes a state estimation method of non-cooperative target, which can be used to identify the target satellite motion. Firstly, tumbling motion of the target is analyzed, while dynamic of non-cooperative target is built. Secondly, an estimate method based on least squares method is proposed to identify the kinematic and dynamic parameters. Both of them are based on least squares methods. Thirdly, with parameters estimated, error state Kalman filter is used to estimate the angular velocity and filter attitude of the target at the same time. Finally, a simulation experiment is carried out to verify the effectiveness of the method. Simulation results reveal the method proposed by this paper can identify parameter and estimate motion state accurately, which is meaningful for non-cooperative target capture.
KW - ESKF
KW - Motion estimation
KW - Non-cooperative target
KW - Parameters identification
UR - https://www.scopus.com/pages/publications/85135841347
U2 - 10.1007/978-3-031-13844-7_44
DO - 10.1007/978-3-031-13844-7_44
M3 - 会议稿件
AN - SCOPUS:85135841347
SN - 9783031138430
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 457
EP - 469
BT - Intelligent Robotics and Applications - 15th International Conference, ICIRA 2022, Proceedings
A2 - Liu, Honghai
A2 - Ren, Weihong
A2 - Yin, Zhouping
A2 - Liu, Lianqing
A2 - Jiang, Li
A2 - Gu, Guoying
A2 - Wu, Xinyu
PB - Springer Science and Business Media Deutschland GmbH
T2 - 15th International Conference on Intelligent Robotics and Applications, ICIRA 2022
Y2 - 1 August 2022 through 3 August 2022
ER -