北京航空航天大学学报 ›› 2019, Vol. 45 ›› Issue (5): 863-872.doi: 10.13700/j.bh.1001-5965.2018.0504

• 论文 • 上一篇    下一篇

军航飞机流穿越民航航线冲突探测与解脱问题

吴明功1,2, 蒋旭瑞1,3, 温祥西1,2, 陈彬1,4   

  1. 1. 空军工程大学 空管领航学院, 西安 710051;
    2. 国家空管防相撞技术重点实验室, 西安 710051;
    3. 中国人民解放军94116部队, 和田 848000;
    4. 中国人民解放军军事科学院, 北京 100091
  • 收稿日期:2018-08-30 出版日期:2019-05-20 发布日期:2019-05-21
  • 通讯作者: 温祥西.E-mail:wxxajy@163.com E-mail:wxxajy@163.com
  • 作者简介:吴明功 男,硕士,教授。主要研究方向:空中交通与管理、管制指挥与安全;蒋旭瑞 男,硕士研究生。主要研究方向:冲突探测与解脱;温祥西 男,博士,讲师。主要研究方向:冲突探测与解脱技术;陈彬 男,博士研究生,讲师。主要研究方向:军民航空管联合运行。
  • 基金资助:
    国家自然科学基金(71801221,61472441,61503409);陕西省自然科学基础研究计划(2018JQ7004)

Conflict detection and resolution in scenario of military aircraft flow passing through civil aviation route

WU Minggong1,2, JIANG Xurui1,3, WEN Xiangxi1,2, CHEN Bin1,4   

  1. 1. Air Traffic Control and Navigation College, Air Force Engineering University, Xi'an 710051, China;
    2. National Key Laboratory of Air Traffic Collision Prevention, Xi'an 710051, China;
    3. Unit 94116 of the PLA, Hetian 848000, China;
    4. PLA Academy of Military Science, Beijing 100091, China
  • Received:2018-08-30 Online:2019-05-20 Published:2019-05-21

摘要: 针对军航飞机穿越民航航线的飞行冲突问题,对飞机流汇聚飞行场景进行建模分析,提出了基于滑动窗口的汇聚飞行冲突探测方法和基于合作博弈的多机冲突解脱方法。当飞机流进入预先划设的汇聚控制区,通过滑动窗口判断向前看时间内飞行冲突。基于此,潜在冲突机间组成一个联盟,以解脱边界条件为安全约束,以合作博弈理论中联盟福利最优解均衡各机效益,在保证安全的前提下实现效益均衡。根据最优机动方向特点,利用免疫粒子群优化算法快速求解策略。仿真结果表明,该场景下提出的方法能有效解算出满足要求的解脱策略,并均衡军民航飞机解脱效益。

关键词: 冲突探测与解脱, 军民航, 飞机流, 合作博弈, 免疫粒子群优化

Abstract: Aimed at the conflict problem of military aircraft flow passing through civil aviation routes, the aircraft flow centering scenario is modeled and analyzed. A centering flight conflict detection method based on sliding windows and a multiple aircraft conflict resolution method based on cooperative game theory are proposed. When the aircraft flow enters the control zone, the sliding window is used to judge the conflicts within look-ahead time. Based on this, the potential conflict aircraft can form a coalition and game with each other to balance the benefits. In this problem, the maximum coalition welfare solution in cooperative game is regarded as the fair allocation, and all solutions should satisfy the safety boundary conditions. Finally, according to the characteristics of the optimal maneuver direction, the strategy is solved quickly by using the immune particle swarm optimization algorithm. The simulation results show that the proposed method can effectively get the resolution strategies and balance the benefits between the military aircraft flow and civil aircraft flow.

Key words: conflict detection and resolution, military and civil aviation, aircraft flow, cooperative game, immune particle swarm optimization

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