弹炮结合武器编队火力分配算法  

Research of Weapon-target Assignment for Anti-aircraft Gun-missile Weapon Formation

作　　者：王越[1] 周德云[1] 刘建生[2] 耿修堂[3] 白浩[3] WANG Yue;ZHOU De-yun;LIU Jian-sheng;GENG Xiu-tang;BAI hao(School of Electronics and Information,Northwestern Polytechnical University,Xi’an 710072,China;North Automatic Control Technology Institute,Taiyuan 030006,China;Northwest Institute of Mechanical&Electrical Engineering,Xianyang 712099,China)

机构地区：[1]西北工业大学电子信息学院,西安710072 [2]北方自动控制技术研究所,太原030006 [3]西北机电工程研究所,陕西咸阳712099

出　　处：《火力与指挥控制》2018年第3期16-20,共5页Fire Control & Command Control

摘　　要：针对弹炮结合武器编队防空的火力分配问题,根据防空导弹和高炮系统射击的不同特点,建立了弹炮结合武器编队的火力分配模型,该模型带有毁歼概率门限,充分考虑了导弹和高炮的杀伤区域和弹炮火力交接点,分配结果可使弹炮结合武器准确把握导弹发射和高炮射击的时机。在此基础上,提出了变异离散粒子群混合优化算法(VDPSO)求解编队防空作战火力分配,提高了算法收敛速度以及全局搜索能力。仿真结果验证了该模型的有效性。To solve weapon-target assignment for anti-aircraft gun-missile weapon formation,according to characteristic of air-defense missile system and antiaircraft gun system,a new weapontarget assignment mathematical model for gun-missile weapon formation is proposed.The new model guarantees the threshold of damage probability by employing fewer weapon units to attack targets,and it also considers fully the killing area of air-defense missile and gun system,the weapon-target assignment result can seize the precious opportunity to launch missile or fire the guns.Based on the new model,a mixed variation discrete particle swarm optimization algorithm is proposed to solve weapon-target assignment and improve the seeking ability for the global optimal result so that the local maximum is avoided.Simulation results show the advantage of the proposed new model and the effectiveness of VDPSO algorithm.

关 键 词：火力分配 弹炮结合 毁伤概率门限 变异离散粒子群 

分 类 号：TJ012[兵器科学与技术—兵器发射理论与技术]