节油目标驱动下降过程协同运行模式研究

发布时间：2018-11-28 10:43

【摘要】：飞机下降过程飞行环境多样,油耗影响因素复杂,各因素及其组合对油耗影响的贡献难以区别界定。业界操作实际和现有研究成果表明,为达到节油目的,可以通过合理规划飞行剖线来实现。为获得理想剖线,需要在实际中加强多组织高效协同运行,不断地消解下降过程中安全、节油目标带来的新冲突,给出破解对策,既有理论意义,又有应用价值。本文以节油目标驱动下降过程协同运行模式解决方案为目标,利用某型飞机飞行数据(QAR数据)分析抽取出下降过程油耗关联因素及可控协同运行节油点,构建了基于协同理论的多主体目标优化策略框架。本文首先,基于QAR数据应用关联分析法抽取出下降过程油耗关联因素。基于大规模运行数据的统计推断方法,在整个下降过程中,分析出飞行距离、提前降高平飞、下降率、空中等待、飞机着陆滑行等与油耗有关的因素。其次,系统分析了下降过程及其运行程序,以此探究并找到可能产生节油而需协同的节点,着重分析安全间隔、节油等约束下下降过程多组织协同机理。最后,创新性的提出基于虚拟团队的以节油为目标的多组织协同框架,并且构建了多主体目标优化协同决策模型。应用多主体目标优化的基本策略对决策交互过程进行优化,实验选取了三个主要的目标——时间成本目标、节油成本目标和流量调整质量对下降过程中目标及约束条件进行了分析。
[Abstract]:The flight environment of aircraft descent process is diverse, the influence factors of fuel consumption are complex, and the contribution of each factor and its combination to the fuel consumption influence is difficult to distinguish. The operation practice and the existing research results show that to achieve the purpose of fuel saving, the flight profile can be reasonably planned. In order to obtain the ideal profile, it is necessary to strengthen the efficient and cooperative operation of multi-organizations in practice, to resolve the new conflicts caused by the safety and fuel saving targets in the process of decreasing, and to give the countermeasures, which have both theoretical significance and application value. In order to solve the problem of the cooperative operation mode of the oil-saving target driven descent process, this paper uses the flight data (QAR data) of a certain aircraft to analyze and extract the related factors of fuel consumption and the fuel saving points of the controllable cooperative operation. A multi-agent goal optimization strategy framework based on collaboration theory is constructed. Firstly, based on the QAR data, correlation analysis is applied to extract the oil consumption correlation factors. Based on the statistical inference method of large-scale operation data, the factors related to fuel consumption, such as flight distance, early reduction of Gao Ping flight, drop rate, air wait, aircraft landing and glide, are analyzed during the whole descent process. Secondly, the descending process and its running program are systematically analyzed, so as to explore and find out the possible oil-saving nodes that need to be coordinated, focusing on the mechanism of multi-organization coordination in the descent process under the constraints of safe interval, oil-saving and so on. Finally, an innovative multi-organization cooperative framework based on virtual team is proposed, and the multi-agent goal optimization collaborative decision-making model is constructed. The basic strategy of multi-agent objective optimization is used to optimize the process of decision-making interaction. The cost-saving target and flow-adjusted quality are analyzed to analyze the targets and constraints in the process of oil-saving.
【学位授予单位】：中国民航大学
【学位级别】：硕士
【学位授予年份】：2015
【分类号】：V323

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