摘要
随着无人机(UAV)应用场景的不断丰富,近年来利用无人机编队实现空地协同的任务日益增多。根据现阶段的编队体系和控制方法,该文设计一种基于行为策略的空地协同无人机编队控制算法:通过引入空地协同思想,为地面移动用户提供中继通信服务,扩大了无人机编队的通信覆盖范围。为7架无人机组成的编队设计了4种无人机队形,推导相应的单位中心站位标准,并使用Unity软件对空地协同无人机编队控制算法进行仿真,测试使用该算法的无人机编队在理想环境下的转弯性能和模拟实际环境下的避障、中继通信以及队形变化能力。基于所提出的空地协同算法,设计了两种任务方案:区域搜索覆盖主任务方案和用户失联搜救应急方案。实验仿真证明了改进的空地协同无人机编队控制算法及两种方案具有可行性。
With the continuous enrichment of Unmanned Aerial Vehicles(UAV)application scenarios,in recent years,the use of UAV formation to achieve air-ground coordination tasks is increasing.According to the current formation systems and control methods,an air-ground collaborative UAV formation control algorithm based on behavior strategy is designed:by introducing the idea of air-ground collaboration,it provides relay communication services for ground moving users and expands the communication coverage of UAV formations.Four UAV formations are designed for the formation of seven UAVs,the corresponding unit center position standards are derived,and the air-ground collaborative UAV formation control algorithm is simulated by the Unity software.The turning performance of the UAV formation using the algorithm is tested in the ideal environment and the obstacle avoidance,relay communication and formation change capabilities are tested in the simulated actual environment.Based on the proposed air-ground cooperative algorithm,two mission schemes are designed:the main mission scheme of regional search coverage,user lost contact search and rescue crash plan.Theoretical analysis and experimental simulation show that the algorithm and three schemes are feasible.
作者
李博
陈梦媛
杨洪娟
赵楠
王钢
LI Bo;CHEN Mengyuan;YANG Hongjuan;ZHAO Nan;WANG Gang(School of Information Science and Engineering,Harbin Institute of Technology at Weihai,Weihai 264209,China;Department of Electronic Information and Electrical Engineering,Dalian University of Technology,Dalian 116024,China;Communication Research Center,Harbin Institute of Technology,Harbin 150001,China)
出处
《电子与信息学报》
EI
CSCD
北大核心
2023年第8期2839-2846,共8页
Journal of Electronics & Information Technology
基金
国家自然科学基金(62171154,61901137)
山东省自然科学基金(ZR2020MF007)
广东省空天通信与网络技术重点实验室开放基金(2018B030322004)。
关键词
空地协同
无人机编队
编队控制算法
基于行为策略算法
Air-ground coordination
UAV formation
Formation control
Based on behavior strategy algorithm