首页|Cooperative UAV search strategy based on DMPC-AACO algorithm in restricted communication scenarios

Cooperative UAV search strategy based on DMPC-AACO algorithm in restricted communication scenarios

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Improvement of integrated battlefield situational awareness in complex environments involving dy-namic factors such as restricted communications and electromagnetic interference(EMI)has become a contentious research problem.In certain mission environments,due to the impact of many interference sources on real-time communication or mission requirements such as the need to implement commu-nication regulations,the mission stages are represented as a dynamic combination of several communication-available and communication-unavailable stages.Furthermore,the data interaction between unmanned aerial vehicles(UAVs)can only be performed in specific communication-available stages.Traditional cooperative search algorithms cannot handle such situations well.To solve this problem,this study constructed a distributed model predictive control(DMPC)architecture for a collaborative control of UAVs and used the Voronoi diagram generation method to re-plan the search areas of all UAVs in real time to avoid repetition of search areas and UAV collisions while improving the search efficiency and safety factor.An attention mechanism ant-colony optimization(AACO)algorithm is proposed for UAV search-control decision planning.The search strategy is adaptively updated by introducing an attention mechanism for regular instruction information,a priori information,and emergent information of the mission to satisfy different search expectations to the maximum extent.Simulation results show that the proposed algorithm achieves better search performance than tradi-tional algorithms in restricted communication constraint scenarios.

Unmanned aerial vehicles(UAV)Cooperative searchRestricted communicationMission planningDMPC-AACO

Shiyuan Chai、Zhen Yang、Jichuan Huang、Xiaoyang Li、Yiyang Zhao、Deyun Zhou

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School of Electronics and Information,Northwestern Polytechnical University,Xi'an 710072,China

School of Automation Science and Electrical Engineering,Beihang University,Beijing 100191,China

The 93147th Unit of Chinese PLA Air Force,Chengdu,610091,China

National Natural Science Foundation of ChinaSeed Foundation of Innovation and Creation for Graduate Students in Northwestern Polytechnical UniversityChina Postdoctoral Science Foundation

62076204CX20200192021M700337

2024

10.1016/j.dt.2022.12.012

防务技术
中国兵工学会

防务技术

CSTPCD
影响因子：0.358
ISSN：2214-9147
年,卷(期)：2024.(1)
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