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首页> 外文期刊>Journal of aerospace operations >Large aircraft engine-out takeoff path optimization
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Large aircraft engine-out takeoff path optimization

机译：大型飞机发动机出烟道路径优化

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摘要

Large Aircraft operators conducting regular passenger transport must satisfy regulatory requirements such as considering engine failure at takeoff at the worst point of the takeoff roll. Such constraints can severely restrict commercial payload, for example in airports surrounded by high terrain. However, current methods for the analysis of takeoff paths are largely manual and require significant time to yield an allowable payload. In contrast research in robotics, particularly on unmanned aerial vehicles, has created a wealth of automatic path planning techniques that enable high speed online guidance and navigation. Building on robotic path planning techniques, in this paper we address this complex problem in order to provide the aircraft performance engineer with automated methods of generating high quality escape paths that combine complex aircraft kinematics, terrain models and regulatory constraints in a unified mathematical framework. Specifically, we develop a general approach to the problem, formalize our method and provide results from extensive empirical evaluation of its implementation on a sample of real-world airports.
机译：进行常规客运的大型航空器操作员必须满足监管要求，例如考虑起飞卷最糟糕的点处的发动机故障。这种约束可以严重限制商业有效载荷，例如在高地形包围的机场。但是，目前用于起飞路径的目前的方法在很大程度上是手动，并且需要有很多时间来产生允许的有效载荷。在机器人的对比研究中，特别是在无人驾驶飞行器上，创造了丰富的自动路径规划技术，可以实现高速在线指导和导航。在机器人路径规划技术上建立，在本文中，我们解决了这个复杂的问题，以便为飞机性能工程师提供自动化方法，以产生高质量的逃生路径，将复杂的飞机运动学，地形模型和监管限制在统一的数学框架中结合起来。具体而言，我们对问题进行了一般的方法，正式化了我们的方法，并提供了对其在现实世界机场样本的广泛实证评估的结果。

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