• DocumentCode
    2818554
  • Title

    Modeling and Identifying the Acceleration Imposed on Maneuvering Spacecraft

  • Author

    Li Heng-nian ; Li Ji-sheng

  • Author_Institution
    Syst. Eng. Inst. (SEI), Xi´an JiaoTong Univ., Xi´an, China
  • fYear
    2009
  • fDate
    11-13 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In consideration of maneuvering spacecraft, the uncertainty of thrust acceleration will cause enormous error to model and track the accelerating motion, it´s reasonable to think that the measurements mainly reflect the uncertainty of the thrust acceleration. This paper focuses on modeling and building on-line filter to identify the continuous thrust acceleration to compensate the uncertainty of the force model during the maneuver process, an elegant differential equation is derived for variable acceleration, an extended Kalman filter (EKF) is developed for dynamic system to identify forwardly the variable acceleration in real time, also the variational equation for the measurement vector to acceleration is put forward to linearise the discrete-time measurement equations. The mission flight scenery shows the algorithm developed here can estimate the acceleration and determine the orbital parameters precisely during the continuous thrust maneuver process.
  • Keywords
    Kalman filters; acceleration control; aircraft control; differential equations; motion control; vectors; accelerating motion; differential equation; discrete-time measurement equation; extended Kalman filter; measurement vector; online filter; spacecraft maneuvering; thrust acceleration; variational equation; Acceleration; Accelerometers; Differential equations; Extraterrestrial measurements; Filters; Force measurement; Motion measurement; Real time systems; Space vehicles; Tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4507-3
  • Electronic_ISBN
    978-1-4244-4507-3
  • Type

    conf

  • DOI
    10.1109/CISE.2009.5363436
  • Filename
    5363436