航空学报 > 2023, Vol. 44 Issue (16): 328090-328090   doi: 10.7527/S1000-6893.2022.28090

基于改进模拟退火的航空器起飞质量估算方法

王兵1,2(), 邹润原2,3, 常哲宁2,3   

  1. 1.南京航空航天大学 通用航空与飞行学院,南京  210016
    2.国家空管飞行流量管理技术重点实验室,南京  210016
    3.南京航空航天大学 民航学院,南京  210016
  • 收稿日期:2022-10-08 修回日期:2022-11-04 接受日期:2022-12-14 出版日期:2023-08-25 发布日期:2022-12-22
  • 通讯作者: 王兵 E-mail:evanwb@163.com
  • 基金资助:
    工业与信息化部中欧航空科技合作项目(MJ-2020-S-03)

Aircraft takeoff mass estimation method based on improved simulated annealing algorithm

Bing WANG1,2(), Runyuan ZOU2,3, Zhening CHANG2,3   

  1. 1.College of General Aviation and Flight,Nanjing University of Aeronautics and Astronautics,Nanjing  210016,China
    2.National Key Laboratory of Air Traffic Flow Management,Nanjing  210016,China
    3.College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing  210016,China
  • Received:2022-10-08 Revised:2022-11-04 Accepted:2022-12-14 Online:2023-08-25 Published:2022-12-22
  • Contact: Bing WANG E-mail:evanwb@163.com
  • Supported by:
    China-EU Aviation Science and Technology Cooperation Project of the Ministry of Industry and Information Technology(MJ-2020-S-03)

摘要:

航空器起飞质量作为航空器性能的重要参数,对于提高离场轨迹预测精度具有显著效果。考虑到质量参数属于航空公司商业运营数据,难以通过公开渠道获得,提出一种基于历史轨迹数据的航空器起飞质量估算方法。利用航空器的全能量方程,考虑风的影响,根据航空器性能数据库(BADA)性能模型建立航空器起飞质量迭代模型,将禁忌搜索算法中的禁忌表功能引入模拟退火算法,应用改进算法对模型进行高效求解。以典型样本航班为例,估算起飞质量与真实质量的相对误差为2.91%;与BADA参考质量相比,采用估算起飞质量进行轨迹预测时精度得到了有效提高;对15种机型、26 724个航班进行起飞质量估算,所有航班估算质量的平均相对误差值为3.45%,占比97.67%的航班估算质量相对误差绝对值在10%以内。可见,所建立的航空器起飞质量估算方法可适用于大批量航班,为高精度轨迹仿真与预测工作提供了技术支撑。

关键词: 空中交通管理, 起飞质量估算, BADA性能模型, 轨迹预测, 模拟退火算法

Abstract:

Aircraft takeoff mass, an important parameter of aircraft performance, has significant effect on the accuracy of departure trajectory prediction. Aircraft mass is airline commercial operation data, and is difficult to obtain through public accesses. In this paper, a method for aircraft takeoff mass estimation is proposed based on historical trajectory data. Using the total energy model and considering the effect of wind, an iterative model of aircraft takeoff mass is established based on the Base of Aircraft Data(BADA) performance model. Combining the taboo table function in the taboo search algorithm and the simulated annealing algorithm, the improved algorithm is applied to solve the model efficiently. The result of a typical sample flight shows that the relative error between the estimated takeoff mass and the real mass is 2.91%. Compared with the BADA reference mass, the accuracy of trajectory prediction using estimated takeoff mass is effectively improved. Takeoff mass estimation of 15 types of aircraft and 26 724 flights is conducted. The average relative error value of the estimated mass of all flights is 3.45%. The absolute value of relative error of 97.67% of all flights is within 10%, demonstrating accurate estimation results. The proposed method for aircraft takeoff mass estimation can be applied to batch flights and can provide technical support for high-precision trajectory simulation and prediction.

Key words: air traffic management, takeoff mass estimation, BADA performance model, trajectory prediction, simulated annealing algorithm

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