Research on Fuel Consumption Model of a Military Aircraft in Descent Stage

Aiming at the problem of inaccurate establishment of fuel consumption model in aircraft descent stage, an improved Long Short-Term Memory (LSTM) network method is proposed. Based on flight data, the fuel consumption model of a military aircraft in descent stage is established. Firstly, the parameters related to fuel consumption are extracted from flight data and preprocessed. Then, the parameters which are highly correlated with fuel flow rate are selected by Mutual Information method. Finally, a fuel consumption model of aircraft descent stage is established based on an improved LSTM network. Compared with traditional BP neural network, Echo State Network and standard LSTM, this method has a greater improvement in accuracy.