In order to realize the concept of air traffic sustainable operation, taking the aircraft climbing stage as an example, firstly, we establish the vertical trajectory model of aircraft climbing, analyze the change rule of aircraft performance parameters under different indicated airspeed, and establish the RTA and RHA constraint models according to the waypoint constraints. Then, considering the fuel economy and the greenhouse effect of pollutant emission, we establish a multiobjective model of aircraft flight parameter optimization, and, based on the multiobjective genetic algorithm, we establish an optimization model. Finally, we use B737-800 aircraft to carry out simulation experiments and find that, with the change of speed, fuel consumption and warming trend are different, and “objective weight, aircraft mass, flight distance, RTA time window, and wind” have different effects on the optimization results. The results show that this optimization method has a good compromise between fuel consumption and greenhouse effect by changing the weighting factor. By optimizing the flight parameters of the aircraft, it can effectively reduce the impact on the environment and provide theoretical support for the green flight of the aircraft.

中文翻译：

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考虑RTA约束下环境影响的飞机爬升轨迹优化

为了实现空中交通可持续运行的概念，以飞机爬升阶段为例，首先建立飞机爬升的垂直轨迹模型，分析不同指示空速下飞机性能参数的变化规律，建立RTA。和RHA约束模型根据航路点约束。然后，考虑燃油经济性和污染物排放的温室效应，建立了飞机飞行参数优化的多目标模型，并在多目标遗传算法的基础上建立了优化模型。最后，我们使用B737-800飞机进行模拟实验，发现随着速度的变化，油耗和变暖趋势有所不同，并且“目标重量，飞机质量，飞行距离，RTA时间窗口，和风”对优化结果有不同的影响。结果表明，通过改变权重因子，该优化方法在油耗和温室效应之间取得了良好的折衷。通过优化飞机的飞行参数，可以有效减少对环境的影响，为飞机的绿色飞行提供理论支持。