UAVs cooperative task assignment and trajectory optimization with safety and time constraints

被引:15
|
作者
Zheng, Duo [1 ]
Zhang, Yun-fei [2 ]
Li, Fan [2 ]
Cheng, Peng [3 ]
机构
[1] Beijing Inst Technol, UAV Autonomous Control Inst, Beijing 100081, Peoples R China
[2] Shanghai Inst Mech & Elect Engn, Shanghai 201100, Peoples R China
[3] CAS Res Inst Intelligent Decis Engn, Wuhan 100074, Peoples R China
来源
DEFENCE TECHNOLOGY | 2023年 / 20卷
基金
中国国家自然科学基金;
关键词
Multi-UAV; Cooperative attacks; Task assignment; Trajectory optimization; Safety constraints; TRAVELING SALESMAN PROBLEM; MODEL;
D O I
10.1016/j.dt.2022.01.011
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper proposes new methods and strategies for Multi-UAVs cooperative attacks with safety and time constraints in a complex environment. Delaunay triangle is designed to construct a map of the complex flight environment for aerial vehicles. Delaunay-Map, Safe Flight Corridor (SFC), and Relative Safe Flight Corridor (RSFC) are applied to ensure each UAV flight trajectory's safety. By using such techniques, it is possible to avoid the collision with obstacles and collision between UAVs. Bezier-curve is further developed to ensure that multi-UAVs can simultaneously reach the target at the specified time, and the trajectory is within the flight corridor. The trajectory tracking controller is also designed based on model predictive control to track the planned trajectory accurately. The simulation and experiment results are presented to verifying developed strategies of Multi-UAV cooperative attacks. (c) 2022 China Ordnance Society. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
引用
收藏
页码:149 / 161
页数:13
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