• DocumentCode
    2856860
  • Title

    Vision based trajectory tracking of space debris in close proximity via integrated estimation and control

  • Author

    Ni Li ; Yunjun Xu ; Basset, G. ; Fitz-Coy, N.

  • Author_Institution
    Dept. of Mech., Mater., & Aerosp. Eng., Univ. of Central Florida, Orlando, FL, USA
  • fYear
    2011
  • fDate
    June 29 2011-July 1 2011
  • Firstpage
    1033
  • Lastpage
    1038
  • Abstract
    The increasingly cluttered environment in space is placing a premium on techniques capable of tracking and estimating the trajectory of space debris. Unlike the debris smaller than 1 cm or larger than 10 cm, it is always a challenge for spacecraft or satellite mission designers to consider explicitly the ones ranged from 1 cm to 10 cm a priori. To tackle this challenge, this paper presents a vision based debris´ trajectory tracking method in close proximity using two cameras onboard satellites in a formation. Also to differentiate the target debris from other clutters, data association is investigated. A two-stage nonlinear robust controller is developed to adjust the attitude of the satellites such that the desired field of view can be achieved for the target debris. Capabilities of the proposed integrated estimation and control methods are validated in the simulations.
  • Keywords
    artificial satellites; computer vision; object tracking; data association; increasingly cluttered environment; integrated control; integrated estimation; nonlinear robust controller; satellite altitude; satellite mission designers; satellite onboard cameras; space debris; spacecraft; trajectory estimation; vision based trajectory tracking; Angular velocity; Attitude control; Cameras; Estimation; Radar tracking; Satellites; Trajectory; data association; robust control; space debris; vision based estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2011
  • Conference_Location
    San Francisco, CA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-0080-4
  • Type

    conf

  • DOI
    10.1109/ACC.2011.5991383
  • Filename
    5991383