• DocumentCode
    3607205
  • Title

    Coordination control design for formation reconfiguration of multiple spacecraft

  • Author

    Ning Zhou ; Yuanqing Xia

  • Author_Institution
    Key Lab. of Intell. Control & Decision of Complex Syst., Beijing Inst. of Technol., Beijing, China
  • Volume
    9
  • Issue
    15
  • fYear
    2015
  • Firstpage
    2222
  • Lastpage
    2231
  • Abstract
    This study investigates the high precision control design of formation reconfiguration for a group of spacecraft with obstacle/collision avoidance and unknown disturbances. First, by utilising the null-space-based method, a set of pre-designed velocities are calculated for each spacecraft to perform the tasks with the obstacle/collision avoidance task has a higher priority. Second, a task-based adaptive non-singular fast terminal sliding mode coordination control algorithm (TANCCA) is proposed, which can guarantee all the spacecraft to implement the formation reconfiguration while avoiding obstacles/collisions under an unknown disturbed environment. To solve the chattering problem caused by the discontinuity of TANCCA, a modified TANCCA (MTANCCA) is then developed, which is continuous and chattering-free. Finally, the authors use the solution to the formation reconfiguration control problem for six spacecrafts in a circular Low Earth Orbit at 600 km altitude. The results of the simulation show that the MTANCCA is successful in achieving the obstacle/collision avoidance, disturbance rejection, fast convergence, and high control precision without any collisions or rules broken.
  • Keywords
    Earth orbit; adaptive control; collision avoidance; control system synthesis; convergence; space vehicles; variable structure systems; MTANCCA; circular low Earth orbit; collision avoidance; coordination control design; disturbance rejection; fast convergence; fast terminal sliding mode control algorithm; formation reconfiguration; high precision control design; modified TANCCA; multiple spacecraft; null-space-based method; obstacle avoidance; task-based adaptive nonsingular control algorithm;
  • fLanguage
    English
  • Journal_Title
    Control Theory Applications, IET
  • Publisher
    iet
  • ISSN
    1751-8644
  • Type

    jour

  • DOI
    10.1049/iet-cta.2015.0144
  • Filename
    7279236