航空工程进展2025，Vol.16Issue(5)：51-57,7.DOI:10.16615/j.cnki.1674-8190.2025.05.05
基于LSTM的民用飞机重着陆风险预测评估研究
Research on heavy landing risk prediction and evaluation of civil aircraft based on LSTM
摘要
Abstract
Heavy landing of civil aircraft is easy to cause airplane structural damage.Studying the prediction and as-sessment of heavy landing risks for airplane is very important and necessary for reducing the risk of heavy landing and improving the safety of civil aviation operations.A heavy landing risk prediction model is established by using QAR data and LSTM neural network.By calculating the probability density function of vertical acceleration,the possibility and severity of heavy landing are calculated to obtain the risk value;Based on the analysis of landing gear force during landing,vertical acceleration(landing load),descent rate,roll angle,lateral acceleration and pitch an-gle are selected as the influencing parameters of heavy landing.LSTM neural network is used to train the landing load of the flight,and the landing risk table is established.Through the parameter training of QAR data,the model is used to predict the landing load of the flight and verify its accuracy,and the risk of heavy landing is determined with reference to the risk grade table.The simulation results show that the root mean square error(RMSE)and mean absolute error(MAE)of the predicted value and the actual value both reach the order of 10-3,and the quanti-tative heavy landing risk and heavy landing risk prediction are realized.The prediction model established by the re-search can provide theoretical basis for civil aircraft landing safety risk management.关键词
重着陆/QAR数据/LSTM神经网络/风险预测/飞行安全Key words
heavy landing/quick access recorder(QAR)data/long short term memory(LSTM)neural network/risk prediction/flight safety分类
航空航天引用本文复制引用
何健,钱宇,唐盛香..基于LSTM的民用飞机重着陆风险预测评估研究[J].航空工程进展,2025,16(5):51-57,7.基金项目
国家自然科学基金民航联合基金重点项目(U2133209) （U2133209）
民航安全能力建设基金(ASSA2023273) （ASSA2023273）
中央高校基本科研业务费资助项目(TD2025CZ02) （TD2025CZ02）
