Swarm Formation Control Utilizing Elliptical Surfaces and Limiting Functions

被引:92
作者
Barnes, Laura E. [1 ]
Fields, Mary Anne [2 ]
Valavanis, Kimon P. [3 ]
机构
[1] Univ Texas Arlington, Automat & Robot Res Inst, Arlington, TX 76019 USA
[2] USA, Res Lab, Vehicle Technol Directorate, Intelligent Control Team,Unmanned Syst Div, Adelphi, MD 20783 USA
[3] Univ Denver, Dept Elect & Comp Engn, Denver, CO 80208 USA
来源
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2009年 / 39卷 / 06期
关键词
Formation control; multiagent systems; potential fields; swarms; QUEUE-FORMATION SCHEME; MOBILE ROBOTS; PATTERNS;
D O I
10.1109/TSMCB.2009.2018139
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, we present a strategy for organizing swarms of unmanned vehicles into a formation by utilizing artificial potential fields that were generated from normal and sigmoid functions. These functions construct the surface on which swarm members travel, controlling the overall swarm geometry and the individual member spacing. Nonlinear limiting functions are defined to provide tighter swarm control by modifying and adjusting a set of control variables that force the swarm to behave according to set constraints, formation, and member spacing. The artificial potential functions and limiting functions are combined to control swarm formation, orientation, and swarm movement as a whole. Parameters are chosen based on desired formation and user-defined constraints. This approach is computationally efficient and scales well to different swarm sizes, to heterogeneous systems, and to both centralized and decentralized swarm models. Simulation results are presented for a swarm of 10 and 40 robots that follow circle, ellipse, and wedge formations. Experimental results are included to demonstrate the applicability of the approach on a swarm of four custom-built unmanned ground vehicles (UGVs).
引用
收藏
页码:1434 / 1445
页数:12
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