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Minimization of aircraft fuel consumption subjected to arrival time constraint
Aircraft Engineering and Aerospace Technology ( IF 1.2 ) Pub Date : 2020-05-29 , DOI: 10.1108/aeat-01-2020-0023
Muhaned Gilani , Durmuş Sinan Körpe

Purpose

This paper aims to minimize aircraft fuel consumption during the cruise phase when the flight is subjected to a specific time of arrival for different weights and distances.

Design/methodology/approach

The approach adopted herein uses sequential quadratic programming algorithm from MATLAB optimization toolbox, which includes a mathematical model of a jet airliner based on the Base of Aircraft Data as a function evaluator, to find out the impact of meet-time of arrival constraints on fuel consumption. The cruising speeds at predefined segments and the altitude are defined as the design variables.

Findings

The algorithm determines the optimum cruise altitudes and speeds for minimum fuel consumption in the case of no time constraints, also, for different time constraints where the flight time shall be reduced by increasing speed and lowering the altitude in most of the investigated cases.

Practical implications

The algorithm computes the optimum speed and the altitude according to different flight scenarios with the meet-time of arrival constraints for minimum fuel consumption which affects the direct operating cost of the flight. The algorithm might greatly help in decision-making for the meet-time of arrival operations.

Originality/value

Developing an algorithm to optimize the speed and the altitude of an aircraft based on weight and range for minimization of fuel consumption. It is a pioneer study in the literature that deals with the effect of meet-time constraints on fuel consumption.



中文翻译:

受到达时间限制的飞机燃油消耗最小化

目的

本文旨在最大程度地减少在巡航阶段飞机在不同重量和距离的特定到达时间下的燃油消耗。

设计/方法/方法

本文采用的方法使用了来自MATLAB优化工具箱的顺序二次编程算法,该算法包括基于飞机数据库作为函数评估器的喷气客机的数学模型,以确定到达时间约束对燃油消耗的影响。将预定义航段的巡航速度和高度定义为设计变量。

发现

在没有时间限制的情况下,算法也确定了最佳巡航高度和速度,以实现最低的燃油消耗;对于不同的时间限制,在大多数研究情况下,应通过提高速度和降低高度来减少飞行时间。

实际影响

该算法根据到达时间的约束条件,根据不同的飞行情况,计算最佳速度和高度,以最小化燃料消耗,从而影响飞行的直接运营成本。该算法可能会极大地帮助您制定到达操作的集合时间。

创意/价值

开发一种基于重量和范围来优化飞机速度和高度的算法,以最大程度地减少燃料消耗。这是文献中的先驱研究,涉及满足时间限制对燃料消耗的影响。

更新日期:2020-07-20
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