空军工程大学学报2025，Vol.26Issue(5)：22-30,9.DOI:10.3969/j.issn.2097-1915.2025.05.003
基于LSTM-KAN网络的航空燃油消耗动态时序预测模型
A Model of Predicting the Consumption of Fuel for Aircraft in Dynamic Time-Series Based on LSTM-KAN Network
摘要
Abstract
In view of the problem that it is very difficult for traditional methods to capture the intricate and nonlinear relationship between flight states and fuel consumption,this paper proposes a method of predic-ting the consumption of fuel for aircraft in dynamic time-based on the LSTM-KAN Network.First,eight key flight state parameters from QAR(quick access recorder)data in the terminal area-including altitude,true airspeed,and wind speed-the model employs KAN layers with B-spline basis functions in combination with a basic output structure are utilized for accurately capturing the nonlinear relationships between flight states and fuel consumption.And then,the KAN network logging on the final time step of the LSTM net-work is to achieve high-precision modeling of the dynamic time-varying patterns in the consumption of fuel for aircraft.The experimental results demonstrate that the model achieves a mean squared error(MSE)of 0.001,with 98.32%of the test set exhibiting a root mean square error(RMSE)below 0.09 1 kg/h.Ad-ditionally,the coefficient of determination(R2)reaches even more 0.989 7,significantly outperforming traditional models such as MLP(Multilayer Perceptron),standalone LSTM,and Transformer.The find-ings can be applied to optimization of airline fuel efficiency and airspace operations,thereby promoting greener practices in civil aviation.关键词
航空油耗预测/KAN/LSTM/QARKey words
aircraft fuel consumption prediction/KAN/LSTM/QAR分类
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唐志星,牛兆伦,樊奕杰,杨睿超,钟育鸣,贾萌,唐小卫..基于LSTM-KAN网络的航空燃油消耗动态时序预测模型[J].空军工程大学学报,2025,26(5):22-30,9.基金项目
国家自然科学基金(52102379) （52102379）
国家重点研发计划(2022YFB2602004) （2022YFB2602004）
中央高校基本科研经费项目(J2023-047-NJ2024023) （J2023-047-NJ2024023）
