• DocumentCode
    631215
  • Title

    Adaptive sliding-mode guidance for terminal phase of approaching observation

  • Author

    Guanghua Li ; Hongbo Zhang ; Guojian Tang

  • Author_Institution
    Coll. of Aerosp. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha, China
  • fYear
    2013
  • fDate
    12-14 June 2013
  • Firstpage
    1121
  • Lastpage
    1125
  • Abstract
    An adaptive sliding-mode guidance is presented for the problem of terminal phase of approaching observation. Nominal trajectory designed previously was taken to get the relative state between the observation spacecraft and the target, which was regarded as the nominal data. Then state equations of relative motion were discretized and the Kalman Filter method was introduced to process the observation data. Sliding-mode Guidance laws in three channels were designed respectively in finite thrust to track the nominal data and adaptive method was adopted to eliminate system chattering. Finally, Simulations were given and their results showed the proposed guidance law can meet the requirements of approaching observation mission with a high precision. The study herein also can be used in the Missions such as Deep-space exploration and rendezvous and docking.
  • Keywords
    Kalman filters; adaptive control; aircraft control; control nonlinearities; space vehicles; trajectory control; variable structure systems; Kalman filter method; adaptive sliding-mode guidance; approaching observation; deep-space exploration; nominal trajectory; observation spacecraft; rendezvous; sliding-mode guidance law; system chattering elimination; terminal phase problem; Equations; Mathematical model; Adaptive Sliding-Mode Guidance Law; Approaching Observation; Reference Trajectory; Terminal Phase;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Recent Advances in Space Technologies (RAST), 2013 6th International Conference on
  • Conference_Location
    Istanbul
  • Print_ISBN
    978-1-4673-6395-2
  • Type

    conf

  • DOI
    10.1109/RAST.2013.6581171
  • Filename
    6581171