• DocumentCode
    3355350
  • Title

    Autonomous determination of relative orbit for satellite formation flying using fault tolerant UKF

  • Author

    Hui, Wang ; Xuemai, Gu

  • Author_Institution
    Dept. of Inf. & Commun. Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2009
  • fDate
    9-12 Aug. 2009
  • Firstpage
    3905
  • Lastpage
    3909
  • Abstract
    In the universe, the outliers always be included in the devices used for measuring on satellite, which affect the orthogonal property of Filter innovation sequence, filtering accuracy and make estimation inaccurate. In this paper, based on residual orthogonal UKF fault tolerant filtering method is used for autonomous determination of relative orbit for satellite formation flying, the outliers eliminating and instant modifying are implemented, which ensure the filter obtains stronger robustness, better stability(3.352 min, 3.348 min)and accuracy (0.06% and 0.02%). Simulation results show that this method is simple and effective, moreover have much value of theory and project.
  • Keywords
    Kalman filters; Monte Carlo methods; artificial satellites; fault tolerance; position control; stability; statistics; accuracy; fault tolerant UKF; filter innovation sequence; filtering accuracy; orthogonal property; outliers; relative orbit determination; robustness; satellite formation flying; stability; unscented Kalman filters; Artificial satellites; Extraterrestrial measurements; Fault tolerance; Information filtering; Information filters; Nonlinear equations; Optical filters; Orbital calculations; Robust stability; State estimation; Monte Carlo Simulation; fault tolerant filter; outlier; relative orbit determination;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, 2009. ICMA 2009. International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-4244-2692-8
  • Electronic_ISBN
    978-1-4244-2693-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2009.5244888
  • Filename
    5244888