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
Link To Document :
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