Research on Optimization Method of Multi-UAV Collaborative Task Planning

被引:0
作者
Cao Ze-ling [1 ]
Wang Qi [1 ]
Yang Ye-qing [1 ]
机构
[1] Nanchang Hangkong Univ, Coll Informat Engn, Nanchang 330063, Jiangxi, Peoples R China
来源
2018 IEEE CSAA GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC) | 2018年
关键词
Multi-UAV; Path planning; Cooperation; simulated annealing algorithm; Ant colony algorithm;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Based on collaborative missions of reconnaissance, communication relay and target attack of multiple Unmanned Aerial Vehicle,with the target of estimate the reconnaissance shortest time,unmanned aerial vehicle cooperative multi-objective linear programming model is established respectively,and the wide-area search pattern is used.To achieve a short time attack with high efficiency and achieve the optimal path for unmanned aerial vehicle,combining with ant colony optimization algorithm the voronoi diagram path planning method is Introduced.Integrated use of simulated annealing algorithm and ant colony algorithm in the optimization theory,the unmanned aerial vehicle cooperative task scheduling strategy which conclude task allocation and path planning is gained.Finally,Matlab software simulation is used for unmanned aerial vehicle (UAV)flight maps.the results confirmed that the model and algorithm is reliable and has certain practical value.
引用
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页数:6
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