Skip to main content

Motion Parameters and State Estimation of Non-cooperative Target

  • Conference paper
  • First Online:
Intelligent Robotics and Applications (ICIRA 2022)

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

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Flores-Abad, A., Ma, O., Pham, K., et al.: A review of space robotics technologies for on-orbit servicing. Prog. Aerosp. Sci. 68, 1–26 (2014)

    Article  Google Scholar 

  2. Zhou, B.Z., Cai, G.P., Liu, Y.M., et al.: Motion prediction of a non-cooperative space target. Adv. Space Res. 61(1), 207–222 (2018)

    Article  Google Scholar 

  3. Kawamoto, S.: Research on a space debris removal system. NAL Res. Prog. 2002–2003 (2003)

    Google Scholar 

  4. Benninghoff, H., Boge, T.: Rendezvous involving a non-cooperative, tumbling target-estimation of moments of inertia and center of mass of an unknown target. In: 25th International Symposium on Space Flight Dynamics (2015)

    Google Scholar 

  5. Flores-Abad, A., Wei, Z., Ma, O., et al.: Optimal control of space robots for capturing a tumbling object with uncertainties. J. Guid. Control. Dyn. 37(6), 2014–2017 (2014)

    Article  Google Scholar 

  6. Palimaka, J., Burlton, B.V.: Estimation of spacecraft mass properties using angular rate gyro data. In: AIAA/AAS Astrodynamics Conference, Hilton Head Island, USA (1992)

    Google Scholar 

  7. Tanygin, S., Williams, T.: Mass property estimation using coasting maneuvers. J. Guid. Control. Dyn. 20, 625–632 (1997)

    Article  Google Scholar 

  8. Lefferts, E.J., Markley, F.L., Shuster, M.D.: Kalman filtering for spacecraft attitude estimation. J. Guid. Control. Dyn. 5(5), 417–429 (1982)

    Article  Google Scholar 

  9. Kim, D.H., Yang, S., Cheon, D., et al.: Combined estimation method for inertia properties of STSAT-3. J. Mech. Sci. Technol. 24(8), 1737–1741 (2010)

    Article  Google Scholar 

  10. Aghili, F.: Optimal control for robotic capturing and passivation of a tumbling satellite with unknown dynamics. In: AIAA Guidance, Navigation and Control Conference and Exhibit (2008)

    Google Scholar 

  11. Aghili, F.: Optimal trajectories and robot control for detumbling a non-cooperative satellite. J. Guid. Control. Dyn. 43(5), 981–988 (2020)

    Article  Google Scholar 

  12. Bar-Itzhack, I., Deutschmann, J., Markley, F.: Quaternion normalization in additive EKF for spacecraft attitude determination. In: Navigation and Control Conference (1991)

    Google Scholar 

Download references

Acknowledgment

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

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Guocai Yang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

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

Download citation

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

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-13843-0

  • Online ISBN: 978-3-031-13844-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics