摘要
针对有人/无人机协同攻击中的航空集群最优空间构型问题,提出了基于自适应Tent混沌搜索灰狼优化算法的航空集群空间构型寻优方法。建立空空导弹协同攻击区数学模型,结合协同攻击区边界搜索方法,得到航空集群在任意空间构型下的协同攻击区解算方法;将自适应Tent混沌搜索方法应用到灰狼优化算法中,有效避免原算法易陷入局部最优和搜索速度慢的问题;以协同攻击区域大小作为目标函数,利用改进后的算法对航空集群空间构型进行寻优。仿真结果表明,改进后的算法能够有效地求得使航空集群协同攻击区域最大且我方伤亡最小的最优空间构型,且最优构型下航空集群协同攻击区明显大于单机攻击区的简单叠加。
An optimization method for spatial configuration of aircraft swarm based on self-adaptive Tent chaos search grey wolf optimizer is proposed for the optimal spatial configuration of aircraft swarm in the coordinated attack of fighters and unmanned aerial vehicles. A mathematical model of cooperative attack zone of air-to-air missiles is established, and a calculating method for cooperative attack zone under the condition of any aircraft swarm spatial configuration is proposed. The self-adaptive Tent chaos search is applied in grey wolf optimizer to improve the performance of the algorithm, thus avoiding the local optimum and the slow search speed. The size of cooperative attack zone is taken as the target function, and the spatial configuration of aircraft swarm is optimized by using the improved algorithm. The simulated results show that the improved algorithm can be used quickly to obtain the optimal spatial configuration with the largest cooperative attack zone and the minimal threat, and the cooperative attack zone of aircraft swarm is significantly larger than the sum of single aircraft attack zone under the optimal spatial configuration.
作者
史振庆
梁晓龙
张佳强
刘流
范翔宇
SHI Zhenqing;LIANG Xiaolong;ZHANG Jiaqiang;LIU Liu;FAN Xiangyu(National Key Laboratory of Air Traffic Collision Prevention,Air Force Engineering University,Xi an 710051,Shaanxi,China)
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2019年第4期788-798,共11页
Acta Armamentarii
基金
国家自然科学基金项目(61472443
61703427)
陕西省自然科学基础研究计划项目(2017JQ6035)
关键词
航空集群
协同攻击区
TENT映射
混沌理论
灰狼算法
空间构型
aircraft swarm
cooperative attack zone
Tent mapping
chaos theory
grey wolf optimizer
spatial configuration
