06.1 - Flight Dynamics and Control (Control & Modelling)
ENERGY PREDICTION DURING APPROACH AND LANDING BASED ON LONG SHORT-TERM MEMORY MODEL
J.-Q. Yan, School of Aeronautics, Northwestern Polytechnical University, China
In this study, a deep learning method based on time sequence data for aircraft approach and landing energy state prediction is proposed.The results demonstrated that the proposed LSTM model exhibited high accuracy and strong generalization ability in predicting energy states during approach and landing phases.