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

• 批准号: 327114631
• 负责人: Professor Dr.-Ing. Hartmut Fricke
• 金额: --
• 依托单位: Professur für Ökonometrie und Statistik, insbesondere im Verkehrswesen
• 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: https://gepris.dfg.de/gepris/projekt/327114631?language=en
• 关键词: Improved; Continuous; Descent; Operations; considering

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.

沿着单一欧洲天空 (SES) 大型项目，EUROCONTROL 于 2012 年发布了 ATM 总体规划，为 2020 年后的下一代 ATM 系统铺平道路。 SWIM）是总体规划的一个主要支柱，旨在实施低能耗、经济的连续下降运行（CDO），以提高下降和进场程序的运行效率。然而，迄今为止实施的 CDO 无法证明预期的效率增益，这主要是由于飞行员和 ATC 管制员在确定发布下降许可的正确时间方面的飞行技术表现不佳。这反过来又依赖于众多输入和干扰变量的影响，这些变量与每个 CDO 的精确行为相关，但尚未正式知晓。因此，飞行员尚无法获得可靠且精确的下降顶点 (ToD) 预测。本研究旨在克服这一缺陷，对因果确定性输入变量和随机干扰变量以及错过的飞行计划航路点（尤其是 ToD）的影响进行更精确的建模和描述。在 ToD 因任何原因可能不匹配的常见情况下，飞行员将获得称为改进下降顾问的健全决策支持，以判断是否应优先选择较晚或较早开始下降，始终考虑当前的环境条件和该航班的单独成本函数。为了与 ATC 合作为飞行员提供稳健的解决方案，将应用随机优化技术来求解个体成本函数。因此，顾问不仅会描述最好的情况，还会描述可接受的 4D 飞行状态，在该状态下将授予最低求解器质量。目标函数将首次考虑经济效率和生态效率。在七个工作包中，我们从最先进的优化进近程序开始，重点关注现有 CDO 程序的限制，以及部分未知的环境条件、飞机配置数据及其预测技术造成的不确定性处理。我们的目标是确定如何通过随机建模来建模最佳能量优化 CDO。在第一步之后，使用创新的 OR 方法对所有理论 CDO 解决方案进行随机优化，从而生成次优 CDO 解决方案。随后，可视化概念“改进的下降顾问”将被开发并实施到德累斯顿工业大学的空中交通模拟环境中，其中包括 A320 航班和实验性空中交通管制模拟器。