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Development of a tool to study aircraft trajectory optimisation in the presence of icing conditions

机译:开发一种在结冰条件下研究飞机轨迹优化的工具

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With the increasing demand of air travel, the impact on the environment due to aviation has shown a significant increase in recent times. As a result, there is a growing demand for new technologies and flight procedures that will enable aircraft operators to burn less fuel and reduce the adverse effect of aviation on the environment. Conventional approaches to trajectory optimisation do not take the effect of aircraft systems into account. Neglecting these effects may be inadequate, especially when one considers real aircraft operations in real weather scenarios. This research has developed a tool capable of simulating aircraft ice protection performance for trajectory optimisation, which enables the development of a decision making process dependent on weather within the flight management system, thus transforming the conventional ice protection system to a more intelligent system. Presently, thermal ice protection methods are the leading ice protection technology on most of the medium and large transport aircraft. An enhanced aircraft anti-icing model was developed based on Messinger mass and energy balance method for thermal anti-icing. The tool developed in this work can calculate the total water catch and evaluate power requirement due to icing under a wide range of meteorological conditions. The model was successfully integrated with a trajectory optimisation framework for independent assessment of fuel penalty due to icing and investigation of pollutant emissions reduction through aircraft trajectory optimisation. A case of typical departure from London Airport Heathrow was optimised for fuel burn and time. The preliminary results show that when operating in known icing condition, including icing parameters in the optimisation loop could give as much as 2.1% fuel savings.
机译:随着航空旅行需求的增长,近来航空对环境的影响已显示出显着增加。结果,对新技术和飞行程序的需求不断增长,这些新技术和飞行程序将使航空器运营人燃烧更少的燃料并减少航空对环境的不利影响。轨迹优化的常规方法没有考虑飞机系统的影响。忽略这些影响可能是不够的,尤其是当考虑到真实天气情况下的实际飞机运行时。这项研究开发了一种能够模拟飞机防冰性能以实现轨迹优化的工具,该工具能够根据飞行管理系统内的天气情况制定决策流程,从而将传统的防冰系统转变为更智能的系统。当前,热冰保护方法是大多数中型和大型运输机上领先的冰保护技术。基于梅辛格质量和能量平衡方法开发了一种增强型飞机防冰模型,用于热防冰。在广泛的气象条件下,由于结冰,这项工作中开发的工具可以计算总集水量并评估功率需求。该模型已成功地与轨迹优化框架集成,可对由于结冰而产生的燃油损失进行独立评估,并通过飞机轨迹优化研究减少污染物排放。从伦敦机场希思罗机场(London Airport Heathrow)典型起飞的案例中,优化了燃油消耗和时间。初步结果表明,在已知结冰条件下运行时,在优化循环中包括结冰参数可节省多达2.1%的燃油。

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