基于递归算法的航空器高空飞行绿色轨迹优化

Green Aircraft Trajectory Optimization of High-altitude Flight Based on Recursive Algorithm

随着航空运输业的高速发展,航空器在巡航飞行阶段造成的大气污染问题日渐严重。为了有效地降低航空器高空运行对大气环境的影响,以环境运营成本和时间成本总和最小为目标函数,构建绿色轨迹优化模型,并引入递归算法进行求解。以成都至北京航路上某航班为例进行分析,基于航空器性能参数和航路气象条件,将初始巡航高度和巡航速度代入模型计算得到轨迹优化方案,并与原轨迹进行对比分析,结果表明,根据绿色轨迹优化模型,通过调整巡航高度和巡航速度,可以获得较小的GDOC和时间成本的总和,且时间成本在轨迹优化过程中是不可忽视的因素。

With the rapid development of the air transport industry,the air pollution caused by aircraft during the cruise flight has been increasingly serious.In order to effectively reduce the impact of aircraft operation at high altitude on atmospheric environment,the green trajectory optimization model is established aiming at minimizing the sum of Green Direct Operating Cost(GDOC)and time cost,and recursive algorithm is introduced to solve the problem.Taking a flight from Chengdu to Beijing as an example,based on aircraft performance parameters and route meteorological conditions,the initial cruising altitude and cruising speed are substituted into the model to obtain the trajectory optimization scheme,and the optimal trajectory is compared with the original trajectory.The results validate that the green trajectory optimization model can achieve a smaller sum of GDOC and time cost by adjusting the cruising altitude and cruising speed,and the time cost is a factor that cannot be ignored in the trajectory optimization.