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作 者:王蕾 刘洋[1] 谭波[1] WANG Lei;LIU Yang;TAN Bo(Naval University of Engineering,Wuhan 430033)
机构地区:[1]海军工程大学,武汉430033
出 处:《舰船电子工程》2023年第9期141-144,共4页Ship Electronic Engineering
摘 要:为了提高对长航程持续反潜型水面无人艇作战系统评估能力,结合对反潜作战、监视警戒、防空反导、海上搜救参数分析,提出基于深度学习和寻优控制的长航程持续反潜型水面无人艇作战系统可靠性评估模型。以指挥控制系统、态势感知系统、软硬武器系统、救生勤务系统、航行控制系统作为评价对象,建立长航程持续反潜型水面无人艇作战系统可靠性评估的指标参数集,通过威胁判断、目标分配、武器分配等作战决策部署模型,采用深度学习和寻优控制的方法实现对长航程持续反潜型水面无人艇作战武器的火控解算,有效指导控制武器实施射击,根据射击效果实现对水面无人艇作战系统可靠性自适应评估。仿真测试结果表明,采用该方法进行长航程持续反潜型水面无人艇作战系统可靠性评估,提高了武器系统的命中率和可靠性,评估适应性较强,准确性较高。In order to improve the ability of evaluating the combat system of long-range sustained anti-submarine unmanned surface boat,a reliability evaluation model of long-range sustained anti-submarine unmanned surface boat combat system based on deep learning and optimization control is put forward by analyzing the parameters of anti-submarine warfare,surveillance and warning,air defense and anti-missile and maritime search and rescue.Taking command and control system,situation awareness system,soft and hard weapon system,life-saving service system and navigation control system as evaluation objects,the index parameter set of reliability evaluation of long-range sustained anti-submarine unmanned surface vehicle combat system is established.Through the operational decision deployment model such as threat judgment,target allocation and weapon allocation,the fire control solution of long-range sustained anti-submarine unmanned surface vehicle combat weapon is realized by deep learning and optimization control method,which effectively guides and controls the weapon to shoot,and realizes the self-adaptive evaluation of the reliability of the surface unmanned surface vehicle combat system according to the shooting effect.The simulation results show that the reliability evaluation of long-range sustained anti-submarine unmanned surface boat combat system by this method improves the hit rate and reliability of weapon system,and the evaluation adaptability is strong and the accuracy is high.
关 键 词:长航程 持续反潜 水面无人艇 作战系统 可靠性评估
分 类 号:TJ83[兵器科学与技术—武器系统与运用工程]
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