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以模糊邏輯模型化法探討民航機省油之操作模式

Investigation of Jet Transport Operations for Fuel Saving through Fuzzy Logic Modeling

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摘要


在原油資源枯竭與溫室效應的雙重威脅之下,節能減碳成為重要議題。無論能夠取代航空燃油的替代燃料能否成功被發展出來,節省燃料消耗以降低二氧化碳排放的方法仍然是必須研究的課題。本研究使用模糊邏輯模型化(FLM, Fuzzy-Logic Modeling)為主要工具,以實際飛航數據為基礎完成模糊邏輯氣動力模型之建置。在分析燃油消耗因素時,以升阻比作為指標比起阻力更容易看出飛行操作對油耗之影響,此外若重心位置與飛行控制系統所預期的位置不同,將必須進行額外的配平操作,造成不必要的燃油浪費。本論文將展示影響升阻比的因素,並以靜態安定界限之概念監測重心位置變化,以協助民航業者達成省油之目的。

並列摘要


Under the increasing threat from drying-up of the crude oil source and the greenhouse effect, energy efficiency and carbon reduction become an important issue. Whether the alternate aviation fuel is developed successfully or not, the techniques of fuel saving to reduce the CO2 discharge is still a must-study subject. This research will apply FLM (Fuzzy-Logic Modeling) as the main tool, and base on flight data to establish a fuzzy-logic aerodynamic model. During the analysis of the factors that influence the fuel consumption, it is easier to use lift-to-drag ratio as an index to find out the effects of flight controls on fuel consumption. And, if the location of the center of gravity of the aircraft is different from the prediction by the flight control system, it will need extra operation to trim the aircraft and cause unnecessary fuel waste. This paper will present the factors that influence the lift-to-drag ratio, and how to monitor the deviation of the center of gravity of the aircraft based on the static margin concept to assist civil airlines to cut down the budget on fuel waste.

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