• DocumentCode
    693021
  • Title

    Micro-satellite attitude determination algorithm based on adaptive UKF

  • Author

    Min Li ; Song-yan Wang ; Bao-long Zhu ; Ying-chun Zhang ; Hua-yi Li

  • Author_Institution
    Coll. of Astronaut., Harbin Inst. of Technol., Harbin, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    2829
  • Lastpage
    2833
  • Abstract
    This paper addresses the problem of Micro-satellite attitude determination via adaptive unscented kalman filter (UKF). First, mathematical model for satellite attitude determination system is established based on bi-Vector method; then an adaptive UKF is constructed to achieve satellite attitude determination. Compared with UKF-based approach, the present method has an advantage to deal with the occurrence of external disturbance and the noise statistics. In adaptive UKF design, the adaptive factors are introduced to real-time adjust covariance matrix and gain matrix such that the present filter has self-adaptive ability. Finally, simulation results on a satellite example are provided to verify the effectiveness of the proposed attitude determination technique.
  • Keywords
    Kalman filters; adaptive filters; artificial satellites; attitude control; covariance matrices; nonlinear filters; adaptive UKF design; adaptive factors; adaptive unscented Kalman filter; bi-vector method; covariance matrix; gain matrix; microsatellite attitude determination algorithm; Adaptive systems; Estimation error; Mathematical model; Noise; Position measurement; Satellites; Vectors; Euler angles; adaptive unscented kalman filter; quaternion; satellite attitude determination system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885512
  • Filename
    6885512