• DocumentCode
    3070827
  • Title

    Combined controller architecture for leader-follower robot formation control

  • Author

    Cosic, A. ; Susic, M. ; Graovac, S. ; Katic, D.

  • Author_Institution
    Mihajlo Pupin Inst., Univ. of Belgrade, Belgrade, Serbia
  • fYear
    2012
  • fDate
    20-22 Sept. 2012
  • Firstpage
    47
  • Lastpage
    52
  • Abstract
    Formation control is an important field in multi-robot coordinated control. Solution of formation navigation in structured static environment is presented in this paper. It is assumed that high level planner is available, which generates collision free trajectory for leader robot. Leader robot is forced to track generated trajectory, while followers´ trajectories are generated based on the trajectory realized by the real leader. Real environments contain large number of obstacles, which can be arbitrarily positioned. Hence, formation switching becomes necessary in cases when followers can collide with obstacles. In order to ensure trajectory tracking, as well as object avoidance, control structure with several conventional and fuzzy controllers of different roles (trajectory tracking, obstacle avoiding, vehicle avoiding and combined controller) has been adopted. Kinematic model of differentially driven two-wheeled mobile robot is assumed. Simulation results show the efficiency of the proposed approach.
  • Keywords
    collision avoidance; fuzzy control; mobile robots; multi-robot systems; navigation; robot kinematics; tracking; trajectory control; collision free trajectory; combined controller; control structure; controller architecture; differentially driven two-wheeled mobile robot; formation navigation; formation switching; fuzzy controller; high level planner; kinematic model; leader robot; leader-follower robot formation control; multirobot coordinated control; object avoidance; obstacle avoiding; obstacle collision; structured static environment; trajectory tracking; vehicle avoiding; Angular velocity; Collision avoidance; Mobile robots; Robot kinematics; Trajectory; Vehicles; formation control; fuzzy control; mobile robots;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Network Applications in Electrical Engineering (NEUREL), 2012 11th Symposium on
  • Conference_Location
    Belgrade
  • Print_ISBN
    978-1-4673-1569-2
  • Type

    conf

  • DOI
    10.1109/NEUREL.2012.6419962
  • Filename
    6419962