• DocumentCode
    1795147
  • Title

    Research on SINS in application of reentry navigation for lifting reentry vehicles

  • Author

    Jing Yang ; Longtao Kong ; Zhao Zhang

  • Author_Institution
    Sci. & Technol. on Aircraft Control Lab., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    1494
  • Lastpage
    1500
  • Abstract
    Because of the black-out phenomenon and limited available navigation means in reentry phase for lifting reentry vehicles, the strapdown inertial navigation system (SINS) based on geocentric inertial coordinate system is employed and analyzed. Various Error sources of SINS are modeled to analyze the influence on navigation accuracy by means of covariance analysis. Then the importance degree of each error sources obtained is used to improve navigation accuracy. A second-order damping scheme is designed to restrain the SINS divergence in three channels by using the assisted altitude from outside during reentry phase. For the SINS with given specifications applied on a typical reentry trajectory, the simulation results via covariance analysis show that the initial attitude error has the greatest influence on navigation accuracy among certain typical error resources. The designed damping loop alleviates the divergence of SINS effectively. The effect depends on the designed damping coefficients.
  • Keywords
    aerospace navigation; covariance analysis; entry, descent and landing (spacecraft); inertial navigation; covariance analysis; geocentric inertial coordinate system; reentry navigation; reentry vehicles; second-order damping scheme; strapdown inertial navigation system; Accuracy; Damping; Earth; Monte Carlo methods; Navigation; Silicon compounds; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007413
  • Filename
    7007413