计算机工程 ›› 2019, Vol. 45 ›› Issue (6): 303-309.doi: 10.19678/j.issn.1000-3428.0051849

• 开发研究与工程应用 • 上一篇    下一篇

基于人工蜂群算法的飞机进场飞行航迹优化

谷润平,袁婕   

  1. 中国民航大学 空中交通管理学院,天津 300300
  • 收稿日期:2018-06-19 出版日期:2019-06-15 发布日期:2019-06-15
  • 作者简介:谷润平(1971—),男,副教授,主研方向为计算机仿真、飞机力学;袁婕,硕士研究生。
  • 基金项目:
    国家自然科学基金联合项目(U1533116,U1633125);中央高校基本科研业务费专项资金(ZYGX2018033)。

Optimization of aircraft arrival flight trajectory based on artificial bee colony algorithm

GU Runping,YUAN Jie   

  1. College of Air Traffic Management,Civil Aviation University of China,Tianjin 300300,China
  • Received:2018-06-19 Online:2019-06-15 Published:2019-06-15

摘要: 基于飞机进场航迹模型、汇聚点所需到达时间(RTA)约束模型,以飞机油耗和全球增温潜势为优化目标,构建多目标优化模型。引入交叉操作和衰减因子对人工蜂群(ABC)算法进行改进,实现模型的智能求解。以A330飞机为例进行计算分析,结果表明,改进的ABC算法能满足RTA约束下的进场航迹优化需求,邻域搜索次数限制、优化子目标的权重、RTA窗口大小对优化结果有重要影响。

关键词: 航迹优化, 人工蜂群算法, 所需到达时间, 全球增温潜势, 进场航迹

Abstract: Based on the aircraft arrival trajectory model and Required Time of Arrival(RTA) constrained model at the merge point,the multi-objective optimization model is established with the optimization goal of fuel consumption and the Global Warming Potential(GWP).The Artificial Bee Colony (ABC) algorithm is improved by introducing crossover operation and attenuation factor,and the intelligent solution of the model is realized.The A330 aircraft is taken as an example for calculation and analysis.The results show that the improved ABC algorithm can meet the needs of the arrival trajectory optimization under the constraint of RTA.The number of neighborhood search times,the weight of the optimized sub-objectives and the size of the RTA window all have an important effect on the optimization results.

Key words: trajectory optimization, Artificial Bee Colony(ABC) algorithm, Required Time of Arrival(RTA), Global Warming Potential(GWP), arrival trajectory

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