MAV/UAV task coalition phased-formation method

被引：6

作者：

Jiao Zhiqiang ^{[1
]}

Yao Peiyang ^{[1
]}

Zhang Jieyong ^{[1
]}

Zhong Yun ^{[1
]}

Wang Xun ^{[1
]}

机构：

[1] Air Force Engn Univ, Informat & Nav Coll, Xian 710077, Shaanxi, Peoples R China

来源：

JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS | 2019年 / 30卷 / 02期

基金：

中国国家自然科学基金;

关键词：

task coalition formation; task clustering; unmanned aerial vehicle (UAV) allocation; manned aerial vehicle (MAV) allocation; OPTIMIZATION; DESIGN;

D O I：

10.21629/JSEE.2019.02.18

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The formation of the manned aerial vehicle/unmanned aerial vehicle (MAV/UAV) task coalition is considered. To reduce the scale of the problem, the formation progress is divided into three phases. For the task clustering phase, the geographical position of tasks is taken into consideration and a cluster method is proposed. For the UAV allocation phase, the UAV requirement for both constrained and unconstrained resources is introduced, and a multi-objective optimal algorithm is proposed to solve the allocation problem. For the MAV allocation phase, the optimal model is firstly constructed and it is decomposed according to the ideal of greed to reduce the time complexity of the algorithm. Based on the above phases, the MAV/UAV task coalition formation method is proposed and the effectiveness and practicability are demonstrated by simulation examples.

引用

页码：402 / 414

页数：13

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