中国安全科学学报 ›› 2023, Vol. 33 ›› Issue (11): 97-104.doi: 10.16265/j.cnki.issn1003-3033.2023.11.0895

• 安全工程技术 • 上一篇    下一篇

模糊PID控制下的CSPRs配对进近纵向碰撞风险

卢飞(), 陈昊南   

  1. 中国民航大学 空中交通管理学院,天津 300300
  • 收稿日期:2023-05-06 修回日期:2023-08-09 出版日期:2023-11-28
  • 作者简介:

    卢 飞 (1984—)男,山东新泰人,博士,副教授,主要从事空中交通运输规划与管理方面的研究。E-mail:

  • 基金资助:
    国家自然科学基金面上项目(52272356); 中央高校基本科研业务费重点项目(3122022101)

Longitudinal collision risk of CSPRs paired approach under fuzzy PID control

LU Fei(), CHEN Haonan   

  1. College of Air Traffic Management,Civil Aviation University of China,Tianjing 300300,China
  • Received:2023-05-06 Revised:2023-08-09 Published:2023-11-28

摘要:

为控制近距离平行跑道(CSPRs)配对进近的纵向碰撞风险,提高该程序的运行安全,首先,基于快速存取记录器(QAR)数据分析航空器在进近过程中的速度变化特征,拟合其在进近阶段的定位误差分布;其次,考虑前机的尾流影响,建立基于位置误差的配对进近纵向碰撞风险模型,计算得到前后机的最优纵向间隔;然后,使用Matlab的System Identification工具箱,拟合辨识发动机推力手柄角度和飞机速度变化的相关数据,得到其对应关系的传递函数,根据该函数设计模糊比例、积分、微分(PID)控制系统,通过控制前后机间的纵向间隔使碰撞风险维持在最低值;最后,使用Simulink仿真验证该控制系统。结果表明:模糊PID控制系统在响应时间、超调量、稳定性等方面的表现皆优于传统的PID控制系统,该模糊PID系统能在50 s内将前后机的纵向碰撞风险控制在最低值(1.72×10-38次事故/飞行小时),并且在整个配对程序的实施过程中维持该值。

关键词: 比例、积分、微分(PID)控制, 近距离平行跑道(CSPRs), 配对进近, 纵向碰撞风险, 定位误差

Abstract:

In order to control the longitudinal collision risk of CSPRs approach and improve the operation safety of the program, firstly, based on QAR data, the velocity variation characteristic of aircraft in the approach process was analyzed, and its positioning error distribution in the approach phase was fitted. Secondly, considering the influence of the wake of the front aircraft, a longitudinal collision risk model of the paired approach based on position error was established, and the optimal longitudinal interval between the front aircraft and the rear aircraft was calculated. Then, the System Identification toolbox of Matlab was used to fit and identify the relevant data of engine thrust handle angle and aircraft speed change, and the transfer function of their corresponding relationship was obtained. According to this function, a fuzzy PID control system was designed to keep the collision risk to a minimum by controlling the longitudinal interval between the front and rear aircraft. Finally, the control system was verified by Simulink, and the results show that the fuzzy PID control system in this article performs better than traditional PID control systems in response time, overshoot, and stability. The fuzzy PID system can control the longitudinal collision risk of the front and rear aircraft to the lowest value within 50 seconds (1.72×10-38 accidents/flight hours), and maintains this value throughout the entire pairing process.

Key words: proportional integral derivative (PID) control, closely spaced parallel runways(CSPRs), paired approach, longitudinal collision risk, positioning error