• DocumentCode
    2293379
  • Title

    UAV formations control using high order sliding modes

  • Author

    Galzi, D. ; Shtessel, Y.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Alabama Univ., Huntsville, AL
  • fYear
    2006
  • fDate
    14-16 June 2006
  • Abstract
    Formations of unmanned aerial vehicles´ (UAV) using high/second order sliding mode (HOSM/SOSM) controllers are studied. The purpose of the study is to control the formation of several agents, or a swarm of UAVs, using robust and continuous controllers to achieve leader/followers collision-free path-tracking formation in the presence of unknown bounded disturbances acting on each UAV. A strategic formation expansion process is developed allowing extensive formation of n agents through a chain of predefined strategies. Computer simulations of three, four, and six UAVs demonstrate a collision-free flight formation while continuing on a specific path. All formations remain in the presence of unknown bounded disturbances via bounded, robust, accurate and continuous SOSM controls, specifically applying super-twist control method
  • Keywords
    aircraft control; collision avoidance; motion control; multi-agent systems; remotely operated vehicles; robust control; variable structure systems; UAV formation control; UAV swarm; collision-free flight formation; continuous controller; high order sliding mode control; leader-followers collision-free path-tracking formation; robust controller; second order sliding mode controller; super-twist control; unmanned aerial vehicles; Computer simulation; Control systems; Linear feedback control systems; Robust control; Robust stability; Samarium; Sliding mode control; Surveillance; USA Councils; Unmanned aerial vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2006
  • Conference_Location
    Minneapolis, MN
  • Print_ISBN
    1-4244-0209-3
  • Electronic_ISBN
    1-4244-0209-3
  • Type

    conf

  • DOI
    10.1109/ACC.2006.1657386
  • Filename
    1657386