Science & Technology Review
|
2019, 37(13): 53-58
• Exclusive: System of Systems Engineering •
Route planning of UAV cluster via periodic bilevel optimization
Full
ZHAO Xuejun, DONG Yuhao, YUAN Xiujiu, BAO Zhuangzhuang, LI Jialin, LIANG Xiaolong
Affiliations
Graduate School of Air Force Engineering University, Xi'an 710051, China
Published: 2019-07-13
doi: 10.3981/j.issn.1000-7857.2019.13.007
Outline
Aiming at route planning of UAV cluster under various threats, this paper proposes a cluster control method and periodic bilevel optimization algorithm. Based on a fixed-point arrival mission, a cluster dynamic control model is constructed by combining d-norm, impact function and inverse function, which can realize Reynolds rules. A periodic bilevel optimization algorithm is designed to solve the route planning problem of central UAV. Eeffectiveness of the model and feasibility of the optimization algorithm are verified by simulation examples. Compared with the hybrid genetic algorithm ie. artificial potential field algorithm, the periodic bilevel optimization algorithm has a higher efficiency and better optimization effect.
UAV
/
cluster route planning
/
military simulation
赵学军, 董玉浩, 袁修久, 包壮壮, 李嘉林, 梁晓龙.
具有周期性双层优化结构的无人机集群航路规划模型.
科技导报,
2019
, 37
(13)
: 53
-58
.
DOI: 10.3981/j.issn.1000-7857.2019.13.007
ZHAO Xuejun, DONG Yuhao, YUAN Xiujiu, BAO Zhuangzhuang, LI Jialin, LIANG Xiaolong.
Route planning of UAV cluster via periodic bilevel optimization[J].
Science & Technology Review,
2019
, 37
(13)
: 53
-58
.
DOI: 10.3981/j.issn.1000-7857.2019.13.007
Year 2019 volume 37 Issue 13
PDF
411
67
Cite this Article
BibTeX
Article Info
doi: 10.3981/j.issn.1000-7857.2019.13.007
- Receive Date:2019-03-12
- Online Date:2019-09-05
- Published:2019-07-13