混合动力飞机航路优化

IF 1.4 4区 工程技术 Q3 ENGINEERING, MECHANICAL
Konstantinos I. Papadopoulos, Christos P. Nasoulis, Vasilis Gkoutzamanis, Anestis I. Kalfas
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引用次数: 0

摘要

摘要本研究旨在阐明混合动力推进系统在任务级的飞行轨迹优化序列,并确定各自的最优动力管理策略。利用内部框架对混合动力推进系统进行建模。一架混合动力通勤飞机充当了虚拟试验台。采用矢量化计算、决策变量计数和优化算法来减少框架的计算时间。对飞机设计任务剖面的性能改进进行了评估。以总能耗为目标函数。重点在于最小化能耗和时间框架指标的平均值和标准偏差。性能最好的应用程序可以将计算时间减少两个数量级,同时保持与原始模型相同的精度和一致性。它被用来创建一个数据集,用于训练人工神经网络对抗随机任务模式。经过训练的网络被集成到代理模型中。分析的后半部分根据基准飞行路径,评估优化后的任务轮廓特征的能耗。组合优化过程将多小时尺度的时间框架减少了两个数量级,变为3分钟的序列。使用新的框架,计算出短期、中期和长期区域任务的平均能耗效益为12%,与等效基准剖面相比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Flight-Path Optimization for a Hybrid-Electric Aircraft
Abstract This study aims to illustrate a sequence that optimizes the flight-path trajectory for a hybrid-electric propulsion system at mission level, in addition to identifying the respective optimum power management strategy. An in-house framework for hybrid-electric propulsion system modeling is utilized. A hybrid-electric commuter aircraft serves as a virtual test-bench. Vectorized calculations, decision variable count and optimization algorithms are considered for reducing the computational time of the framework. Performance improvements are evaluated for the aircraft's design mission profile. Total energy consumption is set as the objective function. Emphasis lies on minimizing the average value and standard deviation of the energy consumption and timeframe metrics. The best performing application decreases computational time by two orders of magnitude, while retaining equal accuracy and consistency as the original model. It is employed for creating a dataset for training an artificial neural network against random mission patterns. The trained network is integrated into a surrogate model. The latter part of the analysis evaluates optimized mission profile characteristics with respect to energy consumption, against a benchmark flight-path. The combined optimization process decreases the multi-hour-scale timeframe by two orders of magnitude to a 3-minute sequence. Using the novel framework, a 12% average energy consumption benefit is calculated for short, medium and long regional missions, against equivalent benchmark profiles.
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来源期刊
CiteScore
3.80
自引率
20.00%
发文量
292
审稿时长
2.0 months
期刊介绍: The ASME Journal of Engineering for Gas Turbines and Power publishes archival-quality papers in the areas of gas and steam turbine technology, nuclear engineering, internal combustion engines, and fossil power generation. It covers a broad spectrum of practical topics of interest to industry. Subject areas covered include: thermodynamics; fluid mechanics; heat transfer; and modeling; propulsion and power generation components and systems; combustion, fuels, and emissions; nuclear reactor systems and components; thermal hydraulics; heat exchangers; nuclear fuel technology and waste management; I. C. engines for marine, rail, and power generation; steam and hydro power generation; advanced cycles for fossil energy generation; pollution control and environmental effects.
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