【摘要】：飛機(jī)下降過(guò)程飛行環(huán)境多樣,油耗影響因素復(fù)雜,各因素及其組合對(duì)油耗影響的貢獻(xiàn)難以區(qū)別界定。業(yè)界操作實(shí)際和現(xiàn)有研究成果表明,為達(dá)到節(jié)油目的,可以通過(guò)合理規(guī)劃飛行剖線來(lái)實(shí)現(xiàn)。為獲得理想剖線,需要在實(shí)際中加強(qiáng)多組織高效協(xié)同運(yùn)行,不斷地消解下降過(guò)程中安全、節(jié)油目標(biāo)帶來(lái)的新沖突,給出破解對(duì)策,既有理論意義,又有應(yīng)用價(jià)值。本文以節(jié)油目標(biāo)驅(qū)動(dòng)下降過(guò)程協(xié)同運(yùn)行模式解決方案為目標(biāo),利用某型飛機(jī)飛行數(shù)據(jù)(QAR數(shù)據(jù))分析抽取出下降過(guò)程油耗關(guān)聯(lián)因素及可控協(xié)同運(yùn)行節(jié)油點(diǎn),構(gòu)建了基于協(xié)同理論的多主體目標(biāo)優(yōu)化策略框架。本文首先,基于QAR數(shù)據(jù)應(yīng)用關(guān)聯(lián)分析法抽取出下降過(guò)程油耗關(guān)聯(lián)因素�；诖笠�(guī)模運(yùn)行數(shù)據(jù)的統(tǒng)計(jì)推斷方法,在整個(gè)下降過(guò)程中,分析出飛行距離、提前降高平飛、下降率、空中等待、飛機(jī)著陸滑行等與油耗有關(guān)的因素。其次,系統(tǒng)分析了下降過(guò)程及其運(yùn)行程序,以此探究并找到可能產(chǎn)生節(jié)油而需協(xié)同的節(jié)點(diǎn),著重分析安全間隔、節(jié)油等約束下下降過(guò)程多組織協(xié)同機(jī)理。最后,創(chuàng)新性的提出基于虛擬團(tuán)隊(duì)的以節(jié)油為目標(biāo)的多組織協(xié)同框架,并且構(gòu)建了多主體目標(biāo)優(yōu)化協(xié)同決策模型。應(yīng)用多主體目標(biāo)優(yōu)化的基本策略對(duì)決策交互過(guò)程進(jìn)行優(yōu)化,實(shí)驗(yàn)選取了三個(gè)主要的目標(biāo)——時(shí)間成本目標(biāo)、節(jié)油成本目標(biāo)和流量調(diào)整質(zhì)量對(duì)下降過(guò)程中目標(biāo)及約束條件進(jìn)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.
【學(xué)位授予單位】：中國(guó)民航大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類(lèi)號(hào)】：V323

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