系统仿真学报 ›› 2019, Vol. 31 ›› Issue (8): 1627-1635.doi: 10.16182/j.issn1004731x.joss.17-0266

• 仿真应用工程 • 上一篇    下一篇

基于ADS-B IN的冲突预测与多机无冲突航迹规划

张思远, 李仙颖, 沈笑云   

  1. 中国民航大学天津市智能信号与图像处理重点实验室,天津 300300
  • 收稿日期:2017-06-06 修回日期:2017-07-10 发布日期:2019-12-12
  • 作者简介:张思远(1976-),男,天津,博士,讲师,研究方向为ADS-B数据分析与数据挖掘。
  • 基金资助:
    国家自然科学基金委员会-中国民航局民航联合研究基金(U1533115),天津市应用基础与前沿技术研究计划(14JCYBJC16000),中央高校基本科研业务费项目(3122013Z001)

ADS-B IN based Conflict Prediction and Conflict-free Trajectory Planning for Multi-aircraft

Zhang Siyuan, Li Xianying, Shen Xiaoyun   

  1. Tianjin Key Lab for Advanced Signal and Image Processing, Civil Aviation University of China, Tianjin 300300, China
  • Received:2017-06-06 Revised:2017-07-10 Published:2019-12-12

摘要: 为实现未来的自由飞行,需要进行不断的冲突探测并规划安全的飞行航迹。通过深入分析机载TCAS的冲突探测原理,结合ADS-B数据的特点,为ADS-B IN监视范围内的目标机划分等级并定义冲突危险系数,仿真模拟实现了TCAS功能。针对自由飞行中复杂的多机冲突场景,通过将冲突区域网格化,从而将冲突区域内的飞行过程离散化,根据冲突危险系数并结合遗传算法规划出全局最优的无冲突航迹。对两种常见的多机冲突场景进行仿真,结果表明该航迹规划算法可以快速有效的解决多机冲突问题。

关键词: 广播式自动相关监视, 自由飞行, 冲突预测, 遗传算法, 航迹规划

Abstract: For free flight of future, it is necessary to continuously detect conflicts and plan safe flight paths. Through in-depth analysis of detection principle of TCAS, combined with the characteristics of ADS-B data, the target within the scope of ADS-B IN surveillance is classified and given a risk factor, and the TCAS function is implemented in the ADS-B IN simulation software. For complex conflict scenarios with multi-aircraft, by meshing the conflict region and discretizing the flight procedure, the genetic algorithm is then used to calculate the optimal conflict-free trajectory based on risk factors. Two common multi-aircraft conflict scenarios are simulated, and the results show that the algorithm proposed in this article can solve the multi-aircraft conflict issues quickly and efficiently.

Key words: automatic dependent surveillance-broadcast (ADS-B), free flight, conflict prediction, genetic algorithm, trajectory planning

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