航空工程进展2025，Vol.16Issue(2)：40-51,12.DOI:10.16615/j.cnki.1674-8190.2025.02.05
融合注意力机制的航空发动机推力估计方法研究
Research on aircraft engine thrust estimation method incorporating attention mechanism
摘要
Abstract
Accurately predicting the thrust of aircraft engines is of great significance for directly controlling engine thrust.This study aims to enhance the accuracy and practicality of thrust estimation models for aero engines.The re-search first constructs a multi-task LSTM-Attention model that integrates Long Short-Term Memory(LSTM)and attention mechanisms for time series forecasting.Additionally,to address the issue of thrust estimation under different flight conditions,this paper employs Fine-tuning and an improved Domain-Adversarial Neural Network(DANN)transfer learning method to strengthen the model's adaptability to multiple operational conditions.The re-sults demonstrate that LSTM combined with the attention mechanism can effectively model long time series data,rectify LSTM's insufficiency in global modeling capabilities,while also overcome the limitation of the attention mechanism in capturing relative position information.The multi-task learning strategy can significantly improve the model's prediction accuracy at the abrupt changes in the throttle levers,further enhance the model's accuracy.The study of thrust prediction under different conditions based on transfer learning methods indicates that Fine-tuning should be selected when there is limited target domain data,while the modified DANN method will yield a model with higher accuracy when there is sufficient target domain data.关键词
推力估计/时间序列预测/LSTM/注意力机制/多任务学习/迁移学习Key words
thrust estimation/time series forecasting/LSTM/attention mechanism/multi-task learning/transfer learning引用本文复制引用
邹雨杭,赵永平..融合注意力机制的航空发动机推力估计方法研究[J].航空工程进展,2025,16(2):40-51,12.基金项目
国家科技重大专项(J2019-Ⅰ-0010-0010) （J2019-Ⅰ-0010-0010）
中央高校基本科研业务费(NS2022027) （NS2022027）
航空发动机及燃气轮机基础科学中心项目(P2022-B-V-002-001) （P2022-B-V-002-001）
