飞行流量变化下的动态扇区划分研究  

Research on Dynamic Sector Partitioningunder Change of Flight Flow

作　　者：张文倩[1] 王瑛[1] 李超[1] 严伟 ZHANG Wen-qian;WANG Ying;LI Chao;YAN Wei(School of Equipment Management and Safety Engineering,Air Force Engineering University,Xi’an 710051,China)

机构地区：[1]空军工程大学装备管理与安全工程学院,西安710051

出　　处：《火力与指挥控制》2019年第1期125-130,共6页Fire Control & Command Control

基　　金：国家自然科学基金资助项目(71601183)

摘　　要：为了解决当前扇区动态配置效率低下的问题,提出了飞行流量变化下的扇区动态划分方法。分析非决定性因素影响下飞行流量服从的不确定分布,通过建立空域有限元拓扑网络和量化管制员负荷,以均衡监视负荷和减少协作负荷为目标,应用结合二进制和反向学习的高级烟花算法,最终生成了最优扇区划分结果。仿真实例表明,该方法在满足时效性的同时加快了收敛速度,提高了管制效率,适用于实际扇区的优化调控。In order to solve the low efficiency of current dynamic sector configuration,this paper proposes an approach of sector dynamic partitioning under the change of flight flow. After analysis of the uncertainty distribution that flight flow obey under the influence of decisive factors,airspace finite elementtopology network and quantized controllers load are established,aimed at equilibrium monitoring load and reduce cooperation load,advanced fireworks algorithm combined with binary and opposite learning are applied,and finally the optimal sector partition result is generated. The simulation results show that this approachcan speed up the convergence speed as meeting timeliness,improve the efficiency of air traffic management,and is suitable forthe optimization and control of real sector.

关 键 词：动态扇区 飞行流量管理 不确定分布 二进制反向学习烟花算法 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]