Simulation Research on Multi-UAV Route Planning Under the Background of Urban Combat
TU Zhuang
YANG Liuqing
LIN Zhijian
ZHANG Yong
Abstract：Aiming at the problem of multi-UAV route planning under the background of urban combat,this paper uses the UAV cluster system simulation platform to model the urban scene,and uses the novel route planning algorithm autonomous decision mechanism algorithm to carry out multi-UAV route planning.The algorithm uses deep reinforcement learning to learn the environ-ment,and can select different algorithms stored in the algorithm library in real time for route planning of UAVs.After the urban scene modeling is completed,the performance of the new algorithm is compared with other common swarm intelligence algorithms in multi-UAV route planning according to the reward value.Finally,the autonomous decision mechanism algorithm is added to the UAV cluster system simulation platform to complete the simulation and verification of the autonomous decision mechanism algorithm.
Keywords：autonomous decision mechanism algorithmUAV cluster simulationpath planningurban scene
Publication Date：2024-09-20
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 48-54 )