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Optimal departure trajectories with respect to sleep disturbance

机译:关于睡眠障碍的最佳出发轨迹

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This paper describes on-going research in the field of trajectory optimization with respect to noise. Recently, this resulted in a tool in which the Integrated Noise Model, a Geographic Information System and a dynamic trajectory optimization algorithm are combined. This tool has proved to be effective in analyzing noise abatement procedures for departure. With this tool, optimized departure trajectories were generated by using a composite performance index which incorporated a noise related and a fuel related parameter. This resulted in minimum-fuel trajectories that were locally adjusted for noise considerations. However, such a minimum-fuel trajectory is not very realistic from an operational point of view. Therefore, this study proposes a different composition of the performance index. The performance index that is used in the present study incorporates the deviation from a reference flight path instead of a fuel parameter. In this way, a reference flight can be selected that is more practical. A trajectory optimized using the modified performance index will deviate from the reference track only if this improves the noise impact. It is also shown that, depending on the scenario, two instruments, i.e., a thrust cutback or lateral movement, are employed to a different extent in order to achieve a noise reduction.
机译:本文介绍了关于噪声的轨迹优化领域中正在进行的研究。最近,这产生了一种工具,其中将综合噪声模型,地理信息系统和动态轨迹优化算法结合在一起。事实证明,此工具可有效分析离场噪声消除程序。使用该工具,通过使用综合性能指标(包括噪声相关参数和燃料相关参数)来生成优化的起飞轨迹。这导致了针对噪声的考虑而对本地最低燃油轨迹进行了调整。然而,从操作的角度来看,这种最小燃料轨迹不是很现实。因此,本研究提出了绩效指数的不同组成。在本研究中使用的性能指标包括相对于参考飞行路径的偏差,而不是燃料参数。这样,可以选择更实用的参考飞行。使用改良的性能指标优化的轨迹只有在改善噪声影响的情况下才会偏离参考轨迹。还表明,根据情况,为了减小噪声,不同程度地采用了两种工具,即推力减小或横向运动。

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