航空学报 > 2021, Vol. 42 Issue (2): 324157-324157   doi: 10.7527/S1000-6893.2020.24157

柔性空域结构下连续下降航迹多目标优化

杨磊1, 李文博2, 刘芳子1,3, 陈雨童1, 赵征1   

  1. 1. 南京航空航天大学 民航学院, 南京 211106;
    2. 浙江大学 软件学院, 杭州 315100;
    3. 中国民用航空局 空中交通管理局 战略发展部, 北京 100020
  • 收稿日期:2020-04-29 修回日期:2020-06-10 发布日期:2020-09-17
  • 通讯作者: 李文博 E-mail:wenboli@zju.edu.cn
  • 基金资助:
    国家自然科学基金(61903187);江苏省自然科学基金(BK20190414)

Multi-objective optimization of continuous descending trajectories in flexible airspace

YANG Lei1, LI Wenbo2, LIU Fangzi1,3, CHEN Yutong1, ZHAO Zheng1   

  1. 1. College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China;
    2. School of Software Technology, Zhejiang University, Hangzhou 315100, China;
    3. Department of Strategic Development, ATM Bureau, CAAC, Beijing 100020, China
  • Received:2020-04-29 Revised:2020-06-10 Published:2020-09-17
  • Supported by:
    National Natural Science Foundation of China (61903187);Natural Science Foundation of Jiangsu Province(BK20190414)

摘要: 连续下降运行(CDO)是基于航迹运行(TBO)概念的重要组成,对于减少机场终端区燃油消耗和环境影响具有显著效果。简洁、高效和灵活的进场空域,以及高度自动的无冲突节能轨迹规划,是实现高密度终端区连续下降运行的核心要素。设计了一种融合Point Merge理念的新型倒皇冠形进场空域(ICSAA),规范了新型空域内航空器运行程序,建立了以燃油消耗和飞行时间最小为目标的连续下降进近无冲突四维轨迹优化模型,并选用基于精英保留策略的非支配排序遗传算法(NSGA-Ⅱ)进行高效求解。论证了新型柔性空域下连续下降运行轨迹优化具备复杂高密度场景预战术和战术运行性能,对于飞行效率、经济性和空域容量提升具有显著效果,为促进繁忙机场全时段连续下降运行的推广应用提供新视角和新方法。

关键词: 空中交通管理, 空域设计, 终端区, 连续下降运行, 航迹规划

Abstract: Continuous Descending Operation (CDO), an important part of the concept Trajectory Based Operation (TBO), has a significant effect on reducing fuel consumption and noise impact in the airport terminal airspace. Simple, efficient, flexible airspace structure, and highly automatic conflict-free and energy saving trajectory planning are the core elements for the realization of CDO in high-density terminal airspace. We design a new type of airspace named Inverted Crown-Shaped Arrival Airspace (ICSAA) adapted from Point Merge and its operational procedures. Based on the ICSAA, a conflict-free continuous descending trajectory optimization model is established to minimize both fuel consumption and travel time, which is efficiently solved by the adapted NSGA-Ⅱalgorithm. The results demonstrate strong and reliable performance of the proposed trajectory optimization in the new airspace in supporting pre-tactical and tactical operations in complex traffic scenarios, thereby improving flight efficiency, economy and airspace capacity, and further providing a new perspective and method for promoting the application of CDO to high-density airports.

Key words: air traffic management, airspace design, terminal airspace, Continuous Descending Operation (CDO), trajectory planning

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