Multi-UAV Mission Planning Method

被引:0
|
作者
Huang, Tianyu [1 ]
Wang, Yue [1 ]
Cao, Xiaowen [2 ]
Xu, Dongfang [1 ]
机构
[1] Beijing Inst Technol, Sch Mechatron Engn, Beijing, Peoples R China
[2] Beijing Electromech Engn Inst, Beijing, Peoples R China
关键词
mission planning; genetic algorithm; simulated annealing algorithm;
D O I
10.1109/icus50048.2020.9274958
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Compared with the single UAV system, multi-UAV cooperative system has the advantage in multiple complex tasks. This paper mainly focuses on the modeling of the constraints and studies the algorithms in the cooperative mission planning problem. Firstly, based on the constraint of time, UAV attributes and target attributes, the cooperative task assignment and cooperative resource allocation are modeled respectively. Then the genetic algorithm which solves the task assignment problem and the simulated annealing algorithm which solves the resource allocation problem are proposed. Finally, the simulation of cooperative mission planning is carried out, and the results show that the two algorithms can be used to solve the multi-UAV mission planning problem with complex space-time constraints.
引用
收藏
页码:325 / 330
页数:6
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