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Optimal search path planning of UUV in battlefeld ambush scene

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Aiming at the practical application of Unmanned Underwater Vehicle(UUV)in underwater combat,this paper proposes a battlefield ambush scene with UUV considering ocean current.Firstly,by establishing these mathematical models of ocean current environment,target movement,and sonar detection,the probability calculation methods of single UUV searching target and multiple UUV cooperatively searching target are given respectively.Then,based on the Hybrid Quantum-behaved Particle Swarm Optimization(HQPSO)algorithm,the path with the highest target search probability is found.Finally,through simulation calculations,the influence of different UUV parameters and target parameters on the target search probability is analyzed,and the minimum number of UUVs that need to be deployed to complete the ambush task is demonstrated,and the optimal search path scheme is obtained.The method proposed in this paper provides a theoretical basis for the practical application of UUV in the future combat.

Battlefield ambushOptimal search path planningUUV path PlanningProbability of cooperative search

Wei Feng、Yan Ma、Heng Li、Haixiao Liu、Xiangyao Meng、Mo Zhou

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Naval Research Institute,Beijing,100161,China

2024

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):2024.32(2)
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