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Generic Framework for Multi-Disciplinary Trajectory Optimization of Aircraft and Power Plant Integrated Systems

机译:飞机和电厂集成系统多学科轨迹优化的通用框架

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Engineering improvements, technology enhancements and advanced operations have an important role to play in reducing aviation fuel consumption and environmental emissions. Currently several organizations worldwide are focusing their efforts towards large collaborative projects whose main objective is to identify the best technologies or routes to reduce the environmental impact and fuel efficiency of aircraft operations. The paper describes the capability of a multi-disciplinary optimization framework named GATAC (Green Aircraft Trajectories under ATM Constrains) developed as part of the Clean Sky project to identify the potential cleaner and quieter aircraft trajectories. The main objective of the framework is to integrate a set of specific models and perform multi-objective optimization of flight trajectories according to predetermined operational and environmental constraints. The models considered for this study include the Aircraft Performance Model, Engine Performance Simulation Model and the Gaseous Emissions Model. The paper, further discusses the results of a test case to demonstrate trade-offs between fuel consumption, flight time and NOx emissions that the trajectory optimization activity achieves at a primary level. It thereby forms the basis of a complete reference base-line trajectory which will be used to determine more accurate environmental gains that can be expected through optimization with the integration of more models within the framework in the future.
机译:工程改进,技术增强和先进运营在减少航空燃油消耗和环境排放方面可发挥重要作用。当前,世界各地的一些组织正在将精力集中于大型合作项目,其主要目标是确定最佳技术或路线,以减少飞机运营对环境的影响和燃油效率。本文描述了作为Clean Sky项目一部分开发的名为GATAC(在ATM约束下的绿色飞机轨迹)的多学科优化框架的功能,以识别潜在的更清洁,更安静的飞机轨迹。该框架的主要目标是整合一组特定模型,并根据预定的运营和环境约束条件对飞行轨迹进行多目标优化。本研究考虑的模型包括飞机性能模型,发动机性能模拟模型和气体排放模型。本文进一步讨论了一个测试案例的结果,以证明轨迹优化活动在主要水平上实现的燃油消耗,飞行时间和NOx排放之间的权衡。因此,它构成了完整参考基线轨迹的基础,该轨迹将用于确定更准确的环境收益,这可以通过在框架内将来集成更多模型进行优化来实现。

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