Fuel flow-rate modelling of transport aircraft for the climb flight using genetic algorithms
Fuel flow-rate modelling of transport aircraft for the climb flight using genetic algorithms
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DOI：
10.1017/s0001924000010320
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发表时间：
2015-02
期刊：
影响因子：
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通讯作者：
T. Baklacioglu
中科院分区：
文献类型：
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作者：
T. Baklacioglu
摘要 在本研究中，利用遗传算法（GA）方法为飞行爬升阶段开发了一种新的燃油流量模型。使用来自一架中型运输类飞机的实际飞行数据记录（FDR）进行了两种建模方法。第一个模型仅考虑燃油消耗对高度的依赖性，而第二个模型则包含了高度和真空速（TAS）两者的影响。所提出的模型是对现有模型的改进，因为可以使用推导的公式推断燃油流量、飞行高度和真空速之间的关系。在对燃油流量值进行误差分析后，发现两种建模方法都能提供准确的结果。很明显，将真空速的影响纳入第二个模型提高了该模型的准确性，但也发现第一个模型在实际使用中也是合适的。
Abstract In this study, development of a new fuel flow rate model for the climbing phase of flight was achieved using a genetic algorithm (GA) method. Two modelling approaches were performed using real flight data records (FDRs) from a medium-weight transport-category aircraft. The first model considered the dependency of fuel consumption only with respect to altitude, whereas the effects of both altitude and true airspeed (TAS) were included in the second model. The proposed models are improvements on existing models because the relationship between fuel flow rate, flight altitude, and TAS can be deduced using the derived formulations. Both modelling approaches were found to provide accurate results after performing an error analysis for fuel flow rate values. It was clear that incorporating the TAS effect into the second model enhanced the accuracy of the model, but the first model was also found to be appropriate for practical usage.