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Motion Parameters and State Estimation of Non-cooperative Target

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Intelligent Robotics and Applications (ICIRA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13455))

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Abstract

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.

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Acknowledgment

This work was supported by Self-Planned Task (No. SKLRS202201A02) of State Key Laboratory of Robotics and System (HIT).

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Correspondence to Guocai Yang .

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Zhang, Z., Yang, G., Jin, M., Fan, S. (2022). Motion Parameters and State Estimation of Non-cooperative Target. In: Liu, H., et al. Intelligent Robotics and Applications. ICIRA 2022. Lecture Notes in Computer Science(), vol 13455. Springer, Cham. https://doi.org/10.1007/978-3-031-13844-7_44

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  • DOI: https://doi.org/10.1007/978-3-031-13844-7_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13843-0

  • Online ISBN: 978-3-031-13844-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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