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Simulation Framework Development for Aircraft Mission Analysis

机译：飞机任务分析的仿真框架开发

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Since the very beginning of first commercial flight operations, aircraft mission analysis has played a major role in minimizing costs, increasing performances and satisfying regulations. The operational trajectory of any aircraft must comply with several constraints that need to be satisfied during its operation. The nature of these constraints can vary from Air Traffic Control (ATC) regulations, to emissions regulations and any combination between these two. The development of an integrated tool capable of determining the resources required (fuel and operational time) for a given aircraft trajectory, as well as assessing its environmental impact, is therefore essential. The present work illustrates the initial steps of a methodology developed in order to acquire the optimal trajectory of any specified aircraft under specific operational or environmental constraints. The simulation framework tool is the result of a collaborative effort between Cranfield University (UK), National Aerospace Laboratory NLR (NL) and LMS International (BE). With this tool, the optimal trajectory for a given aircraft can be computed and its environmental impact assessed.In order to simulate the characteristics of a specific trajectory, as well as to evaluate the emissions that are produced during the aircraft operation within it, three computational models developed at Cranfield University have been integrated into the simulation tool. These models consist of an aircraft performance model, an engine performance model and an emission indices model. The linking has been performed with the deployment of the OPTIMUS process and simulation integration framework developed by LMS International. The optimization processes carried out were based on OPTIMUS' built-in optimizing algorithms. A comparative evaluationbetween an arbitrarily defined baseline trajectory and optimized ones has been waged for the purpose of quantifying the operational profit (in terms of fuel required or operational time) gained by the aircraft operation within the path of an optimized trajectory. Trade-off studies between trajectories optimized for different operational and environmental constraints have been performed.The results of the optimizations revealed a substantial margin available for reduction in fuel consumption as well as required operational time compared to a notional baseline. The optimal trajectories for minimized environmental impact in terms of produced emissions have been acquired and their respective required resources (fuel required and operational time) have been evaluated.
机译：自从首次商业飞行开始以来，飞机任务分析就在最大程度地降低成本，提高性能和满足法规方面发挥了重要作用。任何飞机的运行轨迹都必须遵守其运行过程中需要满足的几个约束条件。这些限制的性质可能有所不同，从空中交通管制（ATC）法规，排放法规以及这两者之间的任意组合。因此，开发一种能够确定给定飞机轨迹所需资源（燃料和运行时间）以及评估其环境影响的集成工具至关重要。本工作说明了开发的方法的初始步骤，以便在特定的操作或环境约束下获取任何指定飞机的最佳轨迹。该模拟框架工具是英国克兰菲尔德大学，美国国家航空航天实验室NLR（NL）和LMS International（BE）共同努力的结果。使用此工具，可以计算给定飞机的最佳轨迹并评估其环境影响。 为了模拟特定轨迹的特性并评估飞机在其中运行时产生的排放，将在克兰菲尔德大学开发的三个计算模型集成到了仿真工具中。这些模型包括飞机性能模型，发动机性能模型和排放指数模型。链接是通过部署LMS International开发的OPTIMUS流程和模拟集成框架来执行的。进行的优化过程基于OPTIMUS的内置优化算法。比较评估 为了量化由飞机运行在优化轨迹的路径中获得的运营利润（以所需燃料或运行时间为单位），已经在任意定义的基线轨迹和优化轨迹之间进行了计算。已经针对不同的操作和环境约束优化了轨迹之间的权衡研究。 优化的结果表明，与名义基准相比，可用于减少燃油消耗以及所需的运行时间的利润空间很大。已经获得了将产生的排放物减至最小的对环境影响的最佳轨迹，并评估了它们各自所需的资源（所需的燃料和运行时间）。

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