首页|期刊导航|自动化学报|USV集群对正态分布目标的拦截任务筹划:布阵设计、方案实现与概率计算

USV集群对正态分布目标的拦截任务筹划:布阵设计、方案实现与概率计算OA

Interception Mission Planning of USV Swarms for Normally Distributed Targets:Deployment Design,Scheme Implementation and Probability Calculation

中文摘要英文摘要

移动目标出现的时空信息不确定性为水面无人艇(USV)集群拦截带来巨大挑战.针对出现位置服从正态分布、出现时间服从均匀分布的水面移动目标,开展 USV 集群对这类移动目标的拦截任务筹划研究.首先,在 USV 集群的布阵设计阶段,结合目标出现位置的正态分布特性,提出 USV 集群"非均匀"布阵设计方案,生成与目标出现位置的正态分布特性相匹配的优化拦截线;其次,分别通过预设时间控制、主从一致性等关键技术,实现 USV 集群入阵、定速跟踪以及协同撤收,三者共同完成 USV 集群对移动目标的拦截控制;最后,根据正态分布概率密度函数特性,给出该拦截方案下 USV 集群对该类移动目标拦截概率的解析表达式.研究表明,该方案能显著应对目标出现的时空不确定性,显著提升了对该类移动目标的拦截效能.

The spatiotemporal information uncertainty associated with emerging mobile targets presents a signific-ant challenge for interception by unmanned surface vessel(USV)swarms.This paper addresses the problem of in-tercepting a surface mobile target whose emerging location follows a normal distribution and emergence time fol-lows a uniform distribution.During the deployment design phase,a novel"non-uniform"deployment design scheme of the USV swarms is first introduced,generating an optimized interception line that matches the normal distribu-tion characteristic of the target's location.The scheme then integrates prescribed-time control and leader-following consensus laws to manage the entire interception cycle:Swarm deployment into formation,constant-speed tracking,and coordinated withdrawal.Finally,leveraging the properties of the normal distribution probability density func-tion,an analytical expression for the interception probability under the proposed scheme is derived.Simulation studies demonstrate that the proposed scheme effectively counters the spatiotemporal uncertainty of target emer-gence and markedly enhances interception performance.

王晓玲;徐英杰;徐伟辰;刘浏;苏厚胜

南京邮电大学自动化学院 南京 210023南京邮电大学自动化学院 南京 210023华中科技大学人工智能与自动化学院 武汉 430074南京邮电大学通信与信息工程学院 南京 210023华中科技大学人工智能与自动化学院 武汉 430074

正态分布目标USV集群目标拦截集群布阵USV控制

normally distributed targetsUSV swarmstarget interceptionswarm deploymentUSV control

《自动化学报》 2026 (4)

846-864,19

国家自然科学基金(62522313,62425602,62473207,U25B2078,62561160100)资助 Supported by National Natural Science Foundation of China(62522313,62425602,62473207,U25B2078,62561160100)

10.16383/j.aas.c250669

评论