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柔性空域结构下四维航迹多目标优化研究

Research on multi-objective optimization of four-dimensional trajectory in the flexible airspace structure
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摘要 针对柔性空域结构下四维航迹多目标优化问题开展了研究。首先,根据BADA手册,建立飞机四维航迹模型,设计新型多点融合柔性空域结构:燕型进场空域。然后,结合NSGA-Ⅱ算法,建立以飞行总时间最小和冷却时间差方差最小的多目标优化模型。最后,对机型、数量和比例均不同的时刻表进行优化分析。研究结果表明,在燕型柔性空域运行场景下,该模型可完成航迹优化和管制难度指标触发次数优化,为提高空域效能提供新的实用方案。 Research has been conducted on the multi-objective optimization of four-dimensional traj-ectory in flexible airspace structure.Firstly,a four-dimensional aircraft trajectory model of the air-craft is established according to the BADA manual,and a new multi-point merge flexible airspace structure,the swallow shaped approach airspace is designed.Then,combined with the NSGA-Ⅱal-gorithm,a multi-objective optimization model is built up to minimize the total flight hours and the variance of cooling time difference.Finally,optimization analysis is implemented on schedules with different quantities and proportions for the two aircraft types.The research results show that such model can achieve trajectory and control difficulty indicators trigger frequency optimizations in the swallow shaped approach flexible airspace operation scenario,and provide a new practical solution for higher airspace efficiency.
作者 杨新湦 张澈 朱承元 YANG Xinsheng;ZHANG Che;ZHU Chengyuan(School Office,CAUC,Tianjin 300300,China;College of Air Traffic Management,CAUC,Tianjin 300300,China;Air Traffic Control Center,Civil Aviation Northeast Air Traffic Management Bureau,Shenyang 110000,China;Science and Technology Innovation Research Institute,CAUC,Tianjin 300300,China)
出处 《飞行力学》 北大核心 2025年第1期83-89,94,共8页 Flight Dynamics
基金 国家自然科学基金民航联合基金项目资助(U1833103) 中国民航大学研究生科研创新项目资助(2022YJS090)。
关键词 空中交通管理 柔性空域 四维航迹模型 NSGA-Ⅱ算法 航迹优化 air traffic management flexible airspace 4D trajectory model NSGA-Ⅱalgorithm trajectory optimization
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