系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (5): 1429-1440.doi: 10.12305/j.issn.1001-506X.2023.05.19

• 系统工程 • 上一篇    

基于飞行冲突网络和遗传算法的冲突解脱策略

毕可心1,2, 吴明功1,2, 温祥西1,2,*, 张文斌3, 杨文达1,2   

  1. 1. 空军工程大学空管领航学院, 陕西 西安 710051
    2. 国家空管防相撞技术重点实验室, 陕西 西安 710051
    3. 中国人民解放军31435部队, 辽宁 沈阳 110015
  • 收稿日期:2021-07-20 出版日期:2023-04-21 发布日期:2023-04-28
  • 通讯作者: 温祥西
  • 作者简介:毕可心 (1997—),男,硕士研究生,主要研究方向为空中交通管制、复杂网络
    吴明功 (1966—),男,教授,硕士,主要研究方向为航空管制、交通运输工程
    温祥西 (1984—),男,副教授,博士,主要研究方向为复杂网络、空管自动化
    张文斌 (1970—),男,高级工程师,本科,主要研究方向为航空管制
    杨文达 (1998—),男,硕士研究生,主要研究方向为交通运输、冲突解脱

Conflict resolution strategy based on flight conflict network and genetic algorithm

Kexin BI1,2, Minggong WU1,2, Xiangxi WEN1,2,*, Wenbin ZHANG3, Wenda YANG1,2   

  1. 1. Air Traffic Control and Ground Controlled Interception College, Air Force Engineering University, Xi'an 710051, China
    2. National Key Laboratory of Air Traffic Collision Prevention, Xi'an 710051, China
    3. Unit 31435 of the PLA, Shenyang 110015, China
  • Received:2021-07-20 Online:2023-04-21 Published:2023-04-28
  • Contact: Xiangxi WEN

摘要:

针对空域中多机飞行冲突问题,提出了一种基于飞行冲突网络和遗传算法的飞行冲突解脱方法。首先,根据航空器位置、航向和速度状态判断航空器节点之间的冲突,构建飞行冲突网络模型,通过速度障碍法确定网络中的连边和权重。然后,依据不同的场景,将飞行冲突的解脱方式分为速度解脱、航向解脱和复合解脱,并分别推导了解脱范围。在此基础上,根据飞行冲突网络的复杂性构造适应度函数,并使用遗传算法对飞行冲突问题进行编码和求解。仿真实验表明, 所提方法能够根据管制需要和管制员的能力,为不同管制态势下的飞行冲突解脱提供合理、可行的方案,可在18 s内完成对8架航空器的调整,并消解超过12对以上的飞行冲突,与其他多机解脱方法相比,时效性高且冲突消解能力更强。

关键词: 飞行冲突网络, 飞行冲突解脱, 速度障碍法, 遗传算法, 空中交通管理

Abstract:

Aiming at the problem of multi-aircraft flight conflict in airspace, a flight conflict resolution method based on flight conflict network and genetic algorithm is proposed. Firstly, the conflict between aircraft nodes is judged according to the aircraft position, heading and speed state. And a flight conflict network model is built. The speed obstacle method is used to to determine the edges and weights in the network. Secondly, according to different scenarios, the flight conflict resolution methods are divided into speed resolution, heading resolution and compound resolution, and the resolution ranges are deduced respectively. On this basis, a fitness function is constructed according to the complexity of the flight conflict network, and the genetic algorithm is used to encode and solve the flight conflict problem. Simulation experiments show that the proposed method can provide a reasonable and feasible solution for the flight conflict resolution under different control situations according to the control needs and the controller's ability. It can complete the adjustment of 8 aircraft within 18 s and eliminate more than 12 pairs. Compared with other multi-aircraft conflict resolution methods, the proposed method has high timeliness and stronger conflict resolution ability.

Key words: flight conflict network, flight conflict resolution, velocity obstacle method, genetic algorithm, air traffic management

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