面向低噪声的航空器离场航迹优化  

Optimizing Aircraft Departure Trajectories for Low Noise

作　　者：程擎[1] 彭塬铭 CHENG Qing;PENG Yuan-ming(College of Air Traffic Management,Civil Aviation Flight University of China,Guanghan 618000,China)

机构地区：[1]中国民用航空飞行学院空中交通管理学院,广汉618000

出　　处：《科学技术与工程》2025年第9期3620-3628,共9页Science Technology and Engineering

基　　金：交通运输工程一流学科建设(CZYL2024002)。

摘　　要：随着民航绿色发展的推进,航空器噪声问题已变得不容忽视。提出一种结合航空器性能的改进动态窗口法(dynamic window approach,DWA),引入连续爬升运行(continuous climb operations,CCO)的限制,构建航空器的性能约束。针对传统DWA算法中,运用遍历求解造成的解集粗糙问题,采用遗传算法(genetic algorithm,GA)进行优化。其次,针对滚动求解在步进中无法顾及全局噪声影响时间的问题,采用速度间接表示时间,从而优化航迹评价函数。添加人口分布的影响,使模型更加合理。最后,以成都双流机场BOKIR-8T离场方向为例,对比分析改进算法(DWA-GA)与传统DWA算法、比较有无人口分布影响下的航迹,并从航空器性能参数、噪声影响范围等方面进行分析。仿真结果表明,改进算法较传统DWA算法在低分辨率的情况下求解精度更高,且人口分布对航迹有着明显的影响。With the promotion of green development in civil aviation,aircraft noise has become an issue that cannot be ignored.An improved dynamic window approach(DWA)combining aircraft performance was proposed,which introduces the constraint of continuous climb operations(CCO)and constructs performance constraints for aircraft.To address the problem of rough solution set caused by traversal in traditional DWA algorithm,genetic algorithm(GA)was used for optimization.Secondly,speed was used to represent the time indirectly in order to optimize the track evaluation function.The effect of population distribution was added to make the model more reasonable.Finally,taking the departure direction of BOKIR-8T at Chengdu Shuangliu Airport as an example,the improved algorithm(DWA-GA)was compared with the traditional DWA algorithm,and the flight path under the influence of population distribution was compared,and the aircraft performance parameters and noise influence range were analyzed.The simulation results show that the improved algorithm is more accurate than the traditional DWA algorithm at low resolution,and the population distribution has obvious influence on the track.

关 键 词：改进动态窗口法 降噪程序 持续爬升运行 航迹优化 

分 类 号：TB553[理学—物理]