考虑软杀伤武器应用的多UCAV任务分配  

Task Assignment of Multi-UCAV Considering Application of Soft Kill Weapons

作　　者：吴文超[1] 黄长强[1] 白壬潮 董奇帅[3] 宋磊[1] 

机构地区：[1]空军工程大学工程学院 [2]空军装备部 [3]中国人民解放军93357部队

出　　处：《电光与控制》2011年第2期49-53,共5页Electronics Optics & Control

基　　金：国家高技术发展计划(2009AAJ205)

摘　　要：多UCAV任务分配通常需要综合考虑UCAV损耗风险、目标价值、武器的杀伤能力等因素。基于诱饵弹和干扰发射机等软杀伤武器的应用对UCAV生存能力的影响,建立了考虑软杀伤武器应用的UCAV任务分配目标函数,使UCAV损耗最小化的同时目标毁伤价值最大化。分析了目标函数的限制条件,然后基于遗传算法提出了一种新的编码方案,使其能够体现软杀伤武器应用对UCAV任务分配方案的影响,并设计了选择、交叉、倒置和变异等遗传操作算子。仿真结果显示该算法可行,使用软杀伤武器可以显著提高作战效果。In task assignment of multiple Unmanned Combat Aerospace Vehicles （UCAVs）, the wastage risk of UCAVs, target value and lethality of hard kill weapon should all be taken into consideration. Based on the effect of such Soft Kill Weapon Systems （SKWS） as missile decoys and jammers on UCAV, an objective function for muhi-UCAV task assignment was established considering the application of SKWS, which may maximize the Target Value Damage （TVD） while minimizing UCAV wastage. The restrained conditions were analyzed, then a new coding scheme, which could reflect the influence of SKWS to UCAV task assignment was proposed based on Genetic Algorithm （GA）, and the genetic operators such as selection, crossover, inversion and mutation operators were designed. Simulation results indicate that the GA based algorithm is a feasible approach and the use combat results of soft kill weapons may be highly propitious to the combat results

关 键 词：软杀伤武器 无人作战飞机 任务分配 遗传算法 

分 类 号：V279[航空宇航科学与技术—飞行器设计] TP301[自动化与计算机技术—计算机系统结构]