火力与指挥控制2025，Vol.50Issue(6)：28-34,41,8.DOI:10.3969/j.issn.1002-0640.2025.06.004
基于深度学习的直升机风洞试验自动配平技术研究
Research on Automatic Trimming Technology for Helicopter Wind Tunnel Tests Based on Deep Learning
摘要
Abstract
Trimming refers to finding the stable operating point of a system.To address the challenge of automatic trimming for helicopters,based on the wind tunnel test of the helicopter in forward flight,the flight dynamics of the helicopter are modeled and simplified to the main rotor model.a method for automatic trimming in wind tunnel tests is proposed based on Fuzzy Neural Network and Long Short-Term Memory(LSTM)network.The simulation results show that the multi-input multi-output(MIMO)neural network presented in this paper can effectively predict the control values,assisting the helicopter in achieving a stable operating point in wind tunnel tests,thus providing a new approach for the development of automatic trimming technology for helicopters.关键词
模糊神经网络/长短时记忆网络/风洞试验/自动配平/操纵值预测Key words
fuzzy neural network/LSTM/wind tunnel test/automatic trim/manipulative value predict分类
航空航天引用本文复制引用
乔仟,尹童,彭先敏,章贵川,江虹..基于深度学习的直升机风洞试验自动配平技术研究[J].火力与指挥控制,2025,50(6):28-34,41,8.基金项目
国家自然科学基金(62441111) （62441111）
四川省国际港澳台合作项目(2025YFHZ0199) （2025YFHZ0199）
四川省面上基金资助项目(2024NSFSC0476) （2024NSFSC0476）
