Multi‑objective Optimization of Missed Approach Procedure Based on an Improved ARS Method

LI Yafei; ZHAO Rui

doi:10.16356/j.2097-6771.2026.02.018

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Multi‑objective Optimization of Missed Approach Procedure Based on an Improved ARS Method

更新时间：2026-04-30

- Multi‑objective Optimization of Missed Approach Procedure Based on an Improved ARS Method
- Journal of Nanjing University of Aeronautics & Astronautics（Natural Science Edition） Vol. 58, Issue 2, Pages: 425-433(2026)
- 作者机构：
  
  中国民航大学空中交通管理学院，天津 300300
- 作者简介：
- 基金信息：
- DOI：10.16356/j.2097-6771.2026.02.018
  CLC： V2
- Received：12 September 2025，
  
  Revised：2025-12-02，
  
  Published：28 April 2026
- 稿件说明：
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李亚飞，赵瑞. 基于改进ARS方法的复飞程序多目标优化［J］. 南京航空航天大学学报（自然科学版），2026，58（2）：425⁃433.

LI Yafei， ZHAO Rui. Multi-objective optimization of missed approach procedure based on an improved ARS method［J］. Journal of Nanjing University of Aeronautics & Astronautics（Natural Science Edition），2026， 58（2）：425⁃433.
李亚飞，赵瑞. 基于改进ARS方法的复飞程序多目标优化［J］. 南京航空航天大学学报（自然科学版），2026，58（2）：425⁃433. DOI： 10.16356/j.2097-6771.2026.02.018.

LI Yafei， ZHAO Rui. Multi-objective optimization of missed approach procedure based on an improved ARS method［J］. Journal of Nanjing University of Aeronautics & Astronautics（Natural Science Edition），2026， 58（2）：425⁃433. DOI： 10.16356/j.2097-6771.2026.02.018.

摘要

针对目前复飞模式所带来的突出的噪声影响与燃油消耗问题，选取天津滨海国际机场双跑道独立平行仪表进近模式作为研究场景，通过结合现有基于性能的导航（Performance‑based navigation， PBN）程序及飞机性能参数，在保障运行安全与绿色发展的条件下开展程序优化研究。首先，基于前文优化后的PBN进近程序重新设定复飞参数。其次，采用改进的ARS（Aircraft reinjection system）智能方法对现有复飞程序进行优化，期间考虑复杂的飞机序列与运行速度变化等情况，以规划三维Dubins路径作为新复飞程序。最后，从噪声、油耗、安全间隔的多维评估角度，对新程序的优化效果进行评估和验证。结果表明，新程序在保障飞行安全的前提下，可最大限度降低复飞阶段的噪声影响与燃油消耗，提升运行效率；对比优化前后的噪声影响范围、燃油消耗、运行距离及时间，优化效果显著，且优化后程序符合运行安全标准。

Abstract

To address the prominent issues of noise pollution and fuel consumption during aircraft go-around phases， this paper selects the dual-runway independent parallel instrument approach pattern at Tianjin Binhai International Airport as the research scenario. By developing a complex aircraft sequencing model that incorporates speed variations and controller coordination factors， and by integrating existing performance-based navigation （PBN） procedures with aircraft performance parameters， an optimization analysis is conducted. First， missed approach parameters are redefined based on previously optimized PBN approach procedures. Second， an improved aircraft reinjection system（ARS） intelligent method is employed to refine the existing missed approach procedure， planning three-dimensional Dubins paths as the new missed approach procedure. Finally， a multidimensional evaluation model encompassing noise， fuel consumption， and safety separation is constructed to validate the optimization effectiveness of the proposed procedures. The results demonstrate that the new procedure maximizes noise reduction and fuel savings during the missed approach phase while ensuring flight safety， thereby improving overall operational efficiency. Comparisons of noise impact zones， fuel consumption， operational distance， and time before and after optimization show significant improvements with the optimized procedures meeting all operational safety standards.

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references

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