DocumentCode :
1872557
Title :
Potential field based formation control in trajectory tracking and obstacle avoidance tasks
Author :
Tsankova, Diana D. ; Isapov, Nayden
Author_Institution :
Dept. of Control Syst., Tech. Univ.-Sofia, Plovdiv, Bulgaria
fYear :
2012
fDate :
6-8 Sept. 2012
Firstpage :
76
Lastpage :
81
Abstract :
An approach using potential functions applied to formation control (including aggregation, collision-free goal following behavior, and trajectory tracking one) is proposed. The formation control is considered as a special form of agent aggregation, where the final aggregated form has to constitute a particular previously determined geometrical configuration that is defined by a set of desired interagent distance values. This is achieved by defining an appropriate potential function, which reaches global minimum at the desired shape of formation. The innovation in this paper is the modification of the potential function by adding new parts that take into consideration: (1) the desired orientation of the formation as a whole; (2) obstacle avoidance behavior; and (3) goal following one. The control strategy is based on forcing the motion of the agents along the negative gradient of the potential field and taking into account the agents´ non-holonomic kinematics. The validation of the proposed formation control is confirmed by simulations in MATLAB environment.
Keywords :
collision avoidance; geometry; multi-robot systems; robot kinematics; tracking; trajectory control; MATLAB environment; agent aggregation; agent motion control; agent nonholonomic kinematics; collision-free goal following behavior; geometrical configuration; global minimum; inter-agent distance values; negative gradient; obstacle avoidance task; potential field-based formation control; trajectory tracking task; Collision avoidance; Mobile communication; Mobile robots; Robot sensing systems; Shape; Trajectory; formation control; non-holonomic robots; obstacle avoidance; potential field; trajectory tracking control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems (IS), 2012 6th IEEE International Conference
Conference_Location :
Sofia
Print_ISBN :
978-1-4673-2276-8
Type :
conf
DOI :
10.1109/IS.2012.6335117
Filename :
6335117
Link To Document :
بازگشت