摘要
战术阶段的天气变化实时地影响着管制决策,在无决策支持手段的情况下,飞行员不同的绕航偏好加深了对流天气下的管制负荷。针对战术阶段对流天气影响计划航路的情形,使用考虑了飞行员实际绕飞偏好的天气避让区产品,以准确反映对流天气对实际飞行的影响。进而以连续更新的天气避让区产品为基础,建立了多目标整数规划模型,设计了基于线性组合加权的遗传算法。以广州白云至上海虹桥的城市对航线为例,生成的改航路径完全避开实际连续更新的对流天气,可用于战术阶段对管制员的决策支持。
The Air Traffic Control(ATC)decision updates along with the convective weather conditions in real time.In the absence of decision-making support tools,the different rerouting preferences of the pilots deepen the controller workload in convective weather.In response to the convective weather covering the planned route in tactical stage,the Weather Avoidance Field(WAF)product considering the pilot's actual flight preference was used to accurately reflect the impact of convective weather during actual flight.Based on the continuously updated Weather Avoidance Field products,a multi-objective integer programming model was established and a genetic algorithm based on linear combination weighting was designed.Taking the city-pair--Guangzhou Baiyun to Shanghai Hongqiao--as an example,this study finds out that the generated diversion route completely avoids the actual continuously updated convective weather,which can be used for the decision support of the controller in the tactical stage.
作者
毛利民
彭瑛
贾子君
Mao Limin;Peng Ying;Jia Zijun(College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)
出处
《华东交通大学学报》
2020年第2期72-80,共9页
Journal of East China Jiaotong University
基金
国家自然科学基金(61903187)。
关键词
对流天气
战术改航
多目标优化
遗传算法
convective weather
tactical reroute
multi-objective optimization
genetic algorithm
