TY - GEN
T1 - Distributed Array Planning Method with Layered Constraint in Multi-UAV Formation with Bearing-only Detection
AU - Chen, Zhan
AU - Fu, Wenxing
AU - Zhang, Ruitao
AU - Ye, Bowen
AU - Fang, Yangwang
N1 - Publisher Copyright:
© 2024 Technical Committee on Control Theory, Chinese Association of Automation.
PY - 2024
Y1 - 2024
N2 - Multi-UAV formations for bearing-only detection are increasingly important in modern military confrontations, and the geometric array of the formation is one of the decisive factors affecting the detection accuracy of the system. This paper proposed the distributed stochastic subgradient projection algorithm (DSSPA) with layered constraint to solve this problem. Firstly, the system model for cooperative positioning of UAV formation using bearing-only detection method was constructed. And based on the constraints of safe flight altitude and fixed baseline, the UAV formation is layered. Then, the proposed DSSPA combines the idea of stochastic subgradient descent and the projection method, making it more suitable for processing the objective function including non-smooth and convex optimization parts. Simultaneously, by applying the projection operation on each feasible solution, it can ensure that the constraints of the problem are met when updating parameters. Finally, simulation experiment was set up to verify the effectiveness and superiority of the proposed distributed method in array planning of UAV formations with bearing-only detection.
AB - Multi-UAV formations for bearing-only detection are increasingly important in modern military confrontations, and the geometric array of the formation is one of the decisive factors affecting the detection accuracy of the system. This paper proposed the distributed stochastic subgradient projection algorithm (DSSPA) with layered constraint to solve this problem. Firstly, the system model for cooperative positioning of UAV formation using bearing-only detection method was constructed. And based on the constraints of safe flight altitude and fixed baseline, the UAV formation is layered. Then, the proposed DSSPA combines the idea of stochastic subgradient descent and the projection method, making it more suitable for processing the objective function including non-smooth and convex optimization parts. Simultaneously, by applying the projection operation on each feasible solution, it can ensure that the constraints of the problem are met when updating parameters. Finally, simulation experiment was set up to verify the effectiveness and superiority of the proposed distributed method in array planning of UAV formations with bearing-only detection.
KW - Distributed Stochastic Algorithm
KW - Geometry Dilution of Precision
KW - layered constraint
KW - UAV formation
UR - https://www.scopus.com/pages/publications/85205493503
U2 - 10.23919/CCC63176.2024.10661432
DO - 10.23919/CCC63176.2024.10661432
M3 - 会议稿件
AN - SCOPUS:85205493503
T3 - Chinese Control Conference, CCC
SP - 5790
EP - 5795
BT - Proceedings of the 43rd Chinese Control Conference, CCC 2024
A2 - Na, Jing
A2 - Sun, Jian
PB - IEEE Computer Society
T2 - 43rd Chinese Control Conference, CCC 2024
Y2 - 28 July 2024 through 31 July 2024
ER -