• DocumentCode
    2638880
  • Title

    Autonomous integrated navigation plan for Space Transfer Vehicle

  • Author

    Ma, Weihua ; Xu, Yajun ; Bao, Yong ; Yang, Bo

  • Author_Institution
    Coll. of Astronaut., Northwestern Polytech. Univ., Xian
  • fYear
    2008
  • fDate
    10-12 Dec. 2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Space transfer vehicle (STV), which performs missions such as servicing, repairing and rescuing in space without the ground tracking or communication, creates the requirement for the development of an autonomous navigation capability. The navigation sensors should have autonomous characteristics. Strapdown inertial navigation system (SINS), Global Positioning System (GPS) and star sensors (SS) are selected as the navigation sensors for STV. Models of SINS navigation and error for STV are described, but some matrix parameter in models is re-derived. Attitude of SINS is modified as a more intuitionistic mode, too. The extend Kalman filter(EKF) of the SINS/GPS/SS is constructed. Simulations show SINS/GPS/SS could supply the better estimation of position, velocity and attitude during STV orbit changing mission.
  • Keywords
    Kalman filters; aircraft navigation; inertial navigation; matrix algebra; sensors; space vehicles; Global Positioning System; autonomous integrated navigation plan; extend Kalman filter; ground communication; ground tracking; matrix parameter; navigation sensors; orbit changing mission; space transfer vehicle; star sensors; strapdown inertial navigation system; Global Positioning System; Land vehicles; Mobile robots; Navigation; Remotely operated vehicles; Sensor phenomena and characterization; Sensor systems; Silicon compounds; Space missions; Space vehicles; Integrated; SINS/GPS/SS; Space Transfer Vehicle (STV); autonomous navigation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-3908-9
  • Electronic_ISBN
    978-1-4244-2386-6
  • Type

    conf

  • DOI
    10.1109/ISSCAA.2008.4776342
  • Filename
    4776342