Task Decision-making for UAV Swarms Based on Robustness Evaluation

被引：5

作者：

Wang, Xiaohong ^{[1
]}

Zhang, Yuan ^{[1
]}

Wang, Lizhi ^{[2
]}

Lu, Dawei ^{[3
]}

Sun, Yusheng ^{[1
]}

Yao, Jun ^{[1
]}

Ma, Tielin ^{[2
]}

Wang, Xiaohui ^{[1
]}

机构：

[1] Beihang Univ, Sch Reliabil & Syst Engn, Beijing, Peoples R China

[2] Beihang Univ, Unmanned Syst Inst, Beijing, Peoples R China

[3] CETHIK Grp Co Ltd, Res Inst 52, Hangzhou, Peoples R China

来源：

2019 COMPANION OF THE 19TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE QUALITY, RELIABILITY AND SECURITY (QRS-C 2019) | 2019年

基金：

中国国家自然科学基金;

关键词：

UAV swarms; task decision-making; robustness evaluation; fuzzy synthetic evaluation; MISSION PLANNING METHOD;

D O I：

10.1109/QRS-C.2019.00054

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Unmanned aerial vehicle (UAV) swarms is an emerging technology that will expand the application of UAVs and present the new requirements for its reliability and robustness. However, in the current research for the task decision-making of UAV swarms, few papers have considered the system robustness. That will be hard to adapt to some tasks with high uncertainty. Therefore, based on our previous research, this paper proposes a task decision-making method for UAV swarms considering system robustness under two kinds of dynamic evolution processes. Fuzzy comprehensive evaluation is used to solve this model. The validity of the method is verified by a case study. The method presented in this paper can provide some guidance for the mission pluming and formation size control for UAV swarms.

引用

页码：242 / 248

页数：7

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