Improved Continuous Descent Operations considering environmental and mission related uncertainties
考虑到环境和任务相关的不确定性,改进了连续下降操作
基本信息
- 批准号:327114631
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Research Grants
- 财政年份:2017
- 资助国家:德国
- 起止时间:2016-12-31 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Along the large scale project Single European Sky (SES), EUROCONTROL issued an ATM masterplan in 2012 to pave the way for the next generation ATM System beyond 2020. Next to the integration of airport processes and the development of a system-wide information management (SWIM), a major pillar of the masterplan targets the implementation of low energy, economic Continuous Descent Operations (CDO) to increase operational efficiency of descent and approach procedures. However, so far implemented CDO cannot demonstrate the expected efficiency gains mainly due to poor flight technical performance of pilots an ATC controllers in determining the right time to issue descent clearances. This in turn relies on the effects of numerous input and disturbance variables, which are relevant for the precise conduct of each CDO, but not yet formally known. A reliable and precise prediction of the Top of Descent (ToD) is therefore not yet available to pilots. The present study aims at overcoming this deficiency towards a more precise modeling and description of causal deterministic input variables and stochastic disturbance variables and the effect of missed flightplan waypoints (especially the ToD). In those often cases where the ToD may not be matched by any reason, the pilot will be given a sound decision support called Improved Descent Advisor to judge whether a rather late or early start of descent should be preferred, always considering current ambient conditions and the individual cost function of that flight. In order to provide robust solutions to the pilot in cooperation with ATC, stochastic optimization techniques will be applied to solve the individual cost function. Consequently the advisor will not only depict the best case but an acceptable 4 D flight regime within which a minimum solver quality will be granted. The objective functions will for the first time consider both economic and ecological efficiency. Along seven work packages, we start with a state-of-the-art for optimized approach procedures focusing on restrictions for existing CDO procedures, and uncertainty handling resulting from partly unknown ambient conditions, aircraft configuration data and their forecast techniques. We so aim at identifying on how to model best energy-optimized CDO through stochastic modeling. Following this first step, a stochastic optimization of all theoretical CDO solutions is undertaken using innovative OR methods, so generating second best CDO solutions. Subsequently, the visualization concept Improved Descent Advisor will be developed and implemented into the air traffic simulation environment at TU Dresden comprising an A320 flight and an experimental air traffic control simulator.
沿着大型项目单欧洲天空(SES),Eurocontrol于2012年发布了一个ATM总体规划,为下一代ATM系统铺平了道路。接近2020年以后的下一代ATM系统。接下来,机场工艺的整合以及系统范围内的信息管理(游泳)的发展,Masterplans的主要支柱是大师设备的目标,目标是实施低能,经济连续下降的操作(CDECENT(CDECTENT),以提高操作效率(CDO)的效率和效率效率。但是,到目前为止,实施的CDO无法证明预期效率的提高,主要是由于飞行员的飞行技术性能不佳,而ATC控制器在确定签发下降距离的合适时机。反过来,这依赖于众多输入和干扰变量的效果,这与每个CDO的精确行为有关,但尚不正式。因此,飞行员尚无对下降(TOD)的可靠且精确的预测。本研究旨在克服这种缺陷,以更精确的建模和因果确定性输入变量和随机干扰变量以及错过的飞行平面航路点的影响(尤其是TOD)的影响。在那些常常无法通过任何原因匹配TOD的情况下,将向飞行员提供一个合理的决策支持,称为改进的下降顾问,以判断是否应优选较晚或早期的下降开始,并始终考虑当前的环境条件和该航班的个人成本功能。为了与ATC合作为飞行员提供强大的解决方案,将应用随机优化技术来解决个体成本函数。因此,顾问不仅将描述最佳案例,而且描绘了可接受的4 d飞行制度,其中将授予最低求解器质量。目标功能将首次考虑经济和生态效率。沿着七个工作包,我们从最新的方法开始,用于优化的方法程序,重点是现有CDO程序的限制,以及由部分未知的环境条件,飞机配置数据及其预测技术产生的不确定性处理。因此,我们旨在确定如何通过随机建模对最佳能量优化的CDO进行建模。在第一步之后,使用创新或方法对所有理论CDO解决方案进行了随机优化,因此生成第二最佳CDO解决方案。随后,可视化概念改进的下降顾问将被开发并实施到Tu Dresden的空中交通模拟环境中,其中包括A320飞行和实验性的空中交通管制模拟器。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Professor Dr.-Ing. Hartmut Fricke其他文献
Professor Dr.-Ing. Hartmut Fricke的其他文献
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Using ADS-B big data pattern analysis to improve the quality of multivariate 4D trajectory optimization strategies
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