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作 者:郭卫燕 鲁涛[1] 王硕[1] 阎岩 GUO Weiyan;LU Tao;WANG Shuo;YAN Yan(The State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China;China Academy of Aerospace Science and Innovation,Beijing 100076,China)
机构地区:[1]中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京100190 [2]中国航天科技创新研究院,北京100076
出 处:《指挥与控制学报》2024年第1期106-111,共6页Journal of Command and Control
摘 要:多导弹-多目标的空地战斗中,通过最优火力分配实现打击毁伤最大化,是取得战斗胜利的重要因素。传统火力分配方法默认弹载通讯条件稳定且不受干扰,将火力分配问题转化为最优求解问题。但实际战斗中,弹群受到来自敌方的固定及机动电子干扰,通讯条件受到极大挑战,考虑攻击前的通讯变化成为智能弹群发展的趋势。针对变通讯条件下的弹群火力分配问题,提出一种基于知识引导和遗传算法相融合的火力分配方法,实现变通讯条件下最优火力分配方案的稳定求解,仿真实验结果表明,该算法可以有效解决变通信条件下弹群针对目标的火力分配问题,为多导弹-多目标空地作战的火力分配决策提供支持。Strike damage maximization by optimal firepower allocation is an important factor for achieving the victory in the air-to-ground combat with multi-missile and multi-target.In traditional firepower allocation method,the missile borne communication condition is defaulted as stable and undisturbed,the firepower allocation problem is transformed the allocation problem into an optimal solution problem.In actual combat,the missile inner communication condition is greatly influenced due to the fixed and maneuvering electronic jamming on missile group from the enemy.The communication variation before attack can be considered as the trend of future intelligent missile group development.According to missile group firepower allocation problem under variable communication condition,a firepower allocation method based on the fusion of knowledge guidance and genetic algorithm to realize the stable solution of the optimal firepower allocation scheme under variable communication condition.The simulation results show that this method can effectively solve the firepower allocation problem of missile group on the targets under the variable communication condition,and can provide the support for the firepower allocation decision-making of air-to-the ground combat of multi-missile and multi-target.
分 类 号:TP18[自动化与计算机技术—控制理论与控制工程] E927[自动化与计算机技术—控制科学与工程]
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