• DocumentCode
    2912636
  • Title

    Relative navigation algorithm research of chaser spacecraft

  • Author

    Deng, Hong ; Zhong, Weichao ; Sun, Zhaowei ; Wu, Shunan

  • Author_Institution
    Res. Center of Satellite Technol., Harbin Inst. of Technol., Harbin, China
  • fYear
    2011
  • fDate
    5-12 March 2011
  • Firstpage
    1
  • Lastpage
    11
  • Abstract
    In this paper, the relative navigation algorithm of chaser spacecraft with orbit maneuvering is investigated. Based on the relative motion dynamic model and linear relative measurement model, a robust H filter for chaser spacecraft is proposed, which contains affine norm-bounded uncertainties, disturbances, and non-Gaussian noise. The necessary and sufficient conditions for the existence of robust H filter are obtained in terms of a linear matrix inequality(LMI). The filter design is then cast into a convex optimization problem subject to LMI constraints. The numerical simulation results show that the relative position precision is 0.1m and the relative velocity precision is 0.02m/s when the chaser spacecraft has orbit maneuvering, which illustrates the effectiveness and advantage of the proposed navigation algorithm.
  • Keywords
    H optimisation; Kalman filters; aircraft navigation; convex programming; filtering theory; linear matrix inequalities; robust control; space vehicles; LMI; chaser spacecraft; convex optimization problem; linear matrix inequality; linear relative measurement model; orbit maneuvering; relative motion dynamic model; relative navigation algorithm; robust H filter; Mathematical model; Maximum likelihood detection; Nonlinear filters; Optical filters; Orbits; Robustness; Space vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2011 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    978-1-4244-7350-2
  • Type

    conf

  • DOI
    10.1109/AERO.2011.5747614
  • Filename
    5747614