From collective flight in bird flocks to unmanned aerial vehicle autonomous swarm formation

被引：0

作者：

Qiu H.-X. ^{[1
]}

Duan H.-B. ^{[1
]}

机构：

[1] Bio-inspired Autonomous Flight Systems Research Group, Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing

来源：

Gongcheng Kexue Xuebao/Chinese Journal of Engineering | 2017年 / 39卷 / 03期

关键词：

Autonomous control; Collective motion; Coordinated decision; Swarm formation; Unmanned aerial vehicle;

D O I：

10.13374/j.issn2095-9389.2017.03.001

中图分类号：

学科分类号：

摘要：

The mission abilities of unmanned aerial vehicles (UAVs) under complex environments will be improved by autonomous swarm formations. The coexistence of multiple aircrafts raises a series of problems, such as growing difficulties in coordinated managements. As a result, the design of the UAV swarm formation coordinated autonomous control algorithm is an urgent and crux problem. During the process of collective flight in bird flocks, complex and orderly collective behaviors emerges after the cooperation among individuals based on simple behavior rules. Due to the agreement between the autonomous, coordinated and intelligent control requirements of UAV swarm formations and the characteristic of bird flock collective flight such as adjacent interactions, group stabilities and environment adaptions, the study on the mechanism of collective flight in bird flocks and the mapping relationship between bird flocks and UAV swarm systems will give a feasible way to solve the UAV swarm formation coordinated autonomous control problem. © All right reserved.

引用

下载

页码：317 / 322

页数：5

共 38 条

[1] Peng Z.H., Sun L., Chen J., Online path planning for UAV low-altitude penetration based on an improved differential evolution algorithm, J Univ Sci Technol Beijing, 34, 1, (2012)
[2] Lundquist E.H., Drone duties: the dull, the dirty, and the dangerous, Naval Forces, 24, 3, (2003)
[3] You F.C., Ma W.X., Yang B.R., Application of multi-agent technologies to the model design of knowledge discovery in database based on the double-bases cooperation mechanism, J Univ Sci Technol Beijing, 25, 1, (2003)
[4] Liu C., Zhou Q., Hu X.G., Consensus control of discrete-time heterogeneous multi-agent systems, Chin J Eng, 38, 1, (2016)
[5] Cheng D.Z., Chen H.F., From swarm to social behavior control, Sci Technol Rev, 22, 408, (2004)
[6] Duan H.B., Shao S., Su B.W., Et al., New development thoughts on the bio-inspired intelligence based control for unmanned combat aerial vehicle, Sci China Technol Sci, 53, 8, (2010)
[7] Duan H.B., From swarm intelligence to multiple unmanned aerial vehicle autonomous control, All Syst Control, 1, 2, (2014)
[8] Qiu H.X., Wei C., Dou R., Et al., Fully autonomous flying: From collective motion in bird flocks to unmanned aerial vehicle autonomous swarms, Sci China Inf Sci, 58, 12, (2015)
[9] Bajec I.L., Heppner F.H., Organized flight in birds, Anim Behav, 78, 4, (2009)
[10] Ballerini M., Cabibbo N., Candelier R., Et al., Interaction ruling animal collective behavior depends on topological rather than metric distance: evidence from a field study, Proc Nat Acad Sci, 105, 4, (2008)

← 1 2 3 4 →