DocumentCode :
3525543
Title :
Formation control of multiple groups of robots
Author :
Sarkar, Santonu ; Kar, I.N.
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol., New Delhi, New Delhi, India
fYear :
2013
fDate :
10-13 Dec. 2013
Firstpage :
1466
Lastpage :
1471
Abstract :
Formation of multiple groups of agents is an important issue to generate different geometric patterns and shapes. In this paper, a centroid based transformation (CBT), that captures the constraint relationship among agents, has been introduced for multiple groups of agents, and it decomposes the combined dynamics of double integrator systems into intra group shape dynamics, inter group shape dynamics, and the dynamics of the centroid. Upon application of the transformation, a modular architecture is formed, which gives the flexibility to design separate control laws for intra group, inter group shape variables, and the tracking control of the centroid. A new control law has been proposed such that the overall error dynamics becomes singularly perturbed system. Three time scale convergence of the error dynamics, has been achieved by selecting suitable controller gains, and also order of the system is significantly reduced after the convergence of the intra and inter group shape variables. Negative gradient of a potential based function has been appended to the controller to ensure collision avoidance among the agents. Simulation results has been provided to demonstrate the effectiveness of the proposed controller.
Keywords :
collision avoidance; matrix algebra; motion control; multi-robot systems; singularly perturbed systems; CBT; centroid based transformation; collision avoidance; double integrator system; formation control; intergroup shape dynamics; intragroup shape dynamics; negative gradient; potential based function; robots; scale convergence; singularly perturbed system; tracking control; Convergence; Equations; Robots; Shape; Stability analysis; Trajectory; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
Conference_Location :
Firenze
ISSN :
0743-1546
Print_ISBN :
978-1-4673-5714-2
Type :
conf
DOI :
10.1109/CDC.2013.6760089
Filename :
6760089
Link To Document :
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