• DocumentCode
    3293562
  • Title

    Study on the coordinated relative navigation technology for clustered space robots

  • Author

    Zhai Guang ; Zhang Jing-rui ; Zhang Yao

  • Author_Institution
    Aerosp. Eng. Sch., Beijing Inst. of Technol., Beijing, China
  • fYear
    2013
  • fDate
    12-14 Dec. 2013
  • Firstpage
    1520
  • Lastpage
    1525
  • Abstract
    A coordinated relative navigation strategy is proposed in this paper. Firstly, the relative dynamics of clustered space robots are presented. Then, based on the linear Kalman filter theorem, different coordinated relative navigation filters are designed, and a linear time-invariant system observability analysis method is used to qualitatively evaluate the performance of the corresponding filters. Finally, mathematical simulation is performed to verify the performance of those coordinated navigation filtering algorithms that have been considered to be superior to the rest of algorithms. The simulation results verify the high stability and high accuracy of the proposed method of coordinated relative navigation, which could be used to provide highly accurate navigation data for the coordinated operating tasks of clustered space robots.
  • Keywords
    Kalman filters; aerospace robotics; navigation; observability; robot dynamics; clustered space robots; coordinated navigation filtering algorithm; coordinated operating tasks; coordinated relative navigation filter; coordinated relative navigation strategy; coordinated relative navigation technology; linear Kalman filter theorem; linear time-invariant system observability analysis method; mathematical simulation; navigation data; relative dynamics; Extraterrestrial measurements; Filtering; Filtering algorithms; Navigation; Robot kinematics; Space vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics (ROBIO), 2013 IEEE International Conference on
  • Conference_Location
    Shenzhen
  • Type

    conf

  • DOI
    10.1109/ROBIO.2013.6739682
  • Filename
    6739682