• DocumentCode
    183765
  • Title

    Decentralized hybrid formation control of Unmanned Aerial Vehicles

  • Author

    Karimoddini, Ali ; Karimadini, Mohammad ; Hai Lin

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina Agric. & Tech. State Univ., Greensboro, NC, USA
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    3887
  • Lastpage
    3892
  • Abstract
    This paper presents a decentralized hybrid supervisory control approach for two unmanned helicopters that are involved in a leader-follower formation mission. Using a polar partitioning technique, the motion dynamics of the follower helicopters are abstracted to finite state machines. Then, a discrete supervisor is designed in a modular way for different components of the formation mission. Furthermore, a formal technique is developed to design the local supervisors decentralizedly, so that the team of helicopters as whole, can cooperatively accomplish a collision-free formation task.
  • Keywords
    autonomous aerial vehicles; decentralised control; discrete systems; mobile robots; motion control; collision-free formation task; decentralized hybrid formation control; decentralized hybrid supervisory control; discrete supervisor; finite state machine; leader-follower formation mission; motion dynamics; polar partitioning technique; unmanned aerial vehicle; unmanned helicopter; Aerospace electronics; Automata; Collision avoidance; Dynamics; Helicopters; Unmanned aerial vehicles; Vehicle dynamics; Autonomous systems; Cooperative control; Hybrid systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6858770
  • Filename
    6858770