Leader-Follower UAV Formation Model Based on R5DOS-Intersection Model

被引:2
|
作者
Li, Jian [1 ,3 ]
Zhang, Weijian [1 ]
Hu, Yating [1 ,4 ]
Li, Xiaoguang [2 ]
Wang, Zhun [1 ]
机构
[1] Jilin Agr Univ, Coll Informat Technol, Changchun 130118, Peoples R China
[2] Changchun Guanghua Univ, Coll Elect & Informat, Changchun 130033, Peoples R China
[3] Bioinformat Res Ctr Jilin Prov, Changchun 130118, Peoples R China
[4] Delaware State Univ DSU, Dept Math Sci, Dover, DE 19901 USA
来源
CMC-COMPUTERS MATERIALS & CONTINUA | 2021年 / 69卷 / 02期
基金
芬兰科学院; 中国国家自然科学基金;
关键词
Artificial intelligence; RCC theory; R5DOS intersection matrix; UAV formation; communication; ALGORITHM;
D O I
10.32604/cmc.2021.018743
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposes a formation of multiple unmanned aerial vehicles (UAVs) based on the R5DOS (RCC-5 and orientation direction) intersection model. After improving the R5DOS-intersection model, we evenly arranged 16 UAVs in 16 spatial regions. Compared with those of the rectangular formation model and the grid formation model, the communication costs, time costs, and energy costs of the R5DOS model formation were effectively reduced. At the same time, the operation time of UAV formation was significantly enhanced. The leader-follower method can enhance the robustness of the UAV formation and ensure the integrity of communication during UAV formation operation. Finally, we conducted a simulation experiment on the model and found that the R5DOS model formation was stable and could maintain the desired formation. The randomly generated UAVs could quickly fly to the formation path in a short time, establish formation, and carry out operations. When the leader fails, the follower could travel to the original trajectory of the failed leader in a short time, replace the leader, and continue to communicate and improve the robustness of the formation. To sum up, the UAV formation based on the R5DOS model has the advantages of long operation time, strong endurance, low communication cost, and stable formation, which is of great significance for research on UAV formation.
引用
收藏
页码:2493 / 2511
页数:19
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