城市空中机动多旋翼飞机的风最优横向轨迹

Priyank Pradeep, G. Chatterji, T. Lauderdale, K. Sheth, C. Lai, H. Erzberger, B. Sridhar
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引用次数: 1

摘要

本文的主要动机是量化在城市环境中预期的短途飞行(小于60英里)的风最佳横向飞行轨迹的操作效益(能耗和飞行时间)。提出的最优控制模型包括一个风模型,用于量化风对横向轨迹的影响。采用直接配置法对最优控制问题进行了数值求解。将风最优横向飞行轨迹的能量消耗和飞行时间与同一出发地对和目的地对之间的大圆飞行轨迹的相应值进行比较,确定短途飞行风最优路线的运行效益。不同情况下的飞行时间结果使用NASA设计和开发的模拟工具进行验证,以探索先进的空中交通管理概念。本研究表明,对于城市环境中的短途飞行,风最优横向飞行轨迹相对于相应的大圆飞行轨迹的能耗和飞行持续时间的运行效益取决于:i)风场的空间变异性,ii)风力大小,iii)相对于风场的航线方向,以及iv)巡航段长度。在实际可飞行风情景下观察到的操作效益小于2.5%;这可以转化为相当于在城市空中机动环境中节省最多2分钟的巡航飞行时间。正如预期的那样,航线上的逆风和顺风对能耗和飞行时间的影响最为显著。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wind-optimal lateral trajectories for a multirotor aircraft in urban air mobility
The primary motivation for this paper is to quantify the operational benefits (energy consumption and flight duration) of flying wind-optimal lateral trajectories for short flights (less than 60 miles) anticipated in the urban environment. The optimal control model presented includes a wind model for quantifying the effect of wind on the lateral trajectory. The optimal control problem is numerically solved using the direct collocation method. Energy consumption and flight duration flying wind-optimal lateral trajectories are compared with corresponding values obtained flying great-circle paths between the same origin and destination pairs to determine the operational benefits of wind-optimal routing for short flights. The flight duration results for different scenarios are validated using a simulation tool designed and developed at NASA for exploring advanced air traffic management concepts. This research study suggests that for short flights in an urban environment, operational benefits of the wind-optimal lateral trajectories over the corresponding great-circle trajectories in terms of energy consumption and flight duration per flight are dependent on: i) wind field’s spatial variability, ii) wind magnitude, iii) the direction of route relative to the wind field, and iv) cruise segment length. The operational benefits observed in realistic flyable wind scenarios are less than 2.5%; these could be translated to an equivalent of a maximum of 2 min of cruise flight duration savings in the urban air mobility environment. As expected, headwinds and tailwinds along the flight route most significantly impact energy consumption and flight duration.
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