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作 者:马亮[1] 郭力强 张会[1] 杨静[1] 刘剑[1] MA Liang;GUO Liqiang;ZHANG Hui;YANG Jing;LIU Jian(Navy Submarine Academy,Qingdao 266199,China)
机构地区:[1]海军潜艇学院,山东青岛266199
出 处:《水下无人系统学报》2023年第2期323-328,共6页Journal of Unmanned Undersea Systems
基 金:国防科技创新特区项目(20-163-05-xxx)。
摘 要:无人装备的自主技术是当前最具活力的前沿技术领域,提高决策的智能化程度是无人水下航行器(UUV)发展的必然趋势。鱼雷攻击决策是攻击型UUV遂行攻击任务的重要环节,也是形成自组织跨域协同、自主集群对抗等作战能力的基础和前提。从梳理作战运用特点和典型任务样式出发,总结UUV与有人平台相比存在的优势和不足,分析其不同于传统鱼雷攻击的决策内容,阐述决策功能实现需要解决的关键问题,并结合机器学习技术的发展现状,提出适用于解决观测数据不确定性大、攻击决策实时性难保证和模型感知交互能力弱等方面问题的智能决策方法,可为未来无人装备研制与智能决策领域的研究提供借鉴。The autonomous technology of unmanned equipment is currently the most dynamic frontier technology field.Therefore,improving the intelligence of decision-making is an inevitable trend in the development of future unmannedundersea vehicles(UUVs).Torpedo attack decision-making is a critical aspect of UUVs on operational missions and also thebasis and prerequisite for the formation of self-organized cross-domain cooperation,autonomous swarm confrontation,andother operational capabilities.Beginning with a summary of the characteristics of their operational use and typical operationalmission styles,the advantages and shortcomings of UUVs with manned platforms in operational applications were compared,and their decision-making content differed from that of traditional torpedo attacks was analyzed.The key problems that need tobe solved to realize the decision-making function were expounded.Based on the development of machine learning technology,it is proposed that an intelligent decision-making method is suitable for solving the problems of large uncertainty ofobservation data,difficulty in guaranteeing real-time decision-making,and weak interaction ability of model perception.Thisstudy can provide a reference for future research in the field of unmanned equipment development and intelligent decision-making.
关 键 词:无人水下航行器 作战运用 鱼雷攻击 智能决策 机器学习
分 类 号:U674.7[交通运输工程—船舶及航道工程] TJ630[交通运输工程—船舶与海洋工程]
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