航空学报2025，Vol.46Issue(z1)：1-14,14.DOI:10.7527/S1000-6893.2025.32159
融合数据自适应BPNN的倾转旋翼机回转颤振边界预测
Prediction of whirl flutter boundary for tiltrotor aircraft based on BPNN with adaptive data
摘要
Abstract
To address the aeroelastic instability issues of tiltrotor aircraft,a prediction method for whirl flutter boundary of tiltrotor aircraft based on Back-Propagation Neural Network(BPNN)was proposed.Firstly,a multi-modal coupled aeroelastic stability analysis model for tiltrotor aircraft was established based on Hamilton's principle and multi-body dy-namics methods.Secondly,minimal modal damping ratio data under strongly correlated parameters characterizing system stability were generated,and an artificial neural network prediction model was constructed.Finally,an adap-tive data refinement method was proposed to enhance the prediction accuracy of the neural network model.The re-sults show that within the training range,the maximum error between the calculated and predicted values is 3.24%,with an average relative error of 0.031%;outside the training range,the maximum error is 6.51%,and the average relative error is 0.089%.The trained BPNN model exhibits good generalization and high fitting accuracy,enabling effi-cient and high-precision predictions with fewer sample data,both within and outside the training range.The refinement method effectively improves prediction accuracy,particularly excelling in the prediction of the critical point of whirl flut-ter,significantly mitigating the peak-to-peak fluctuation effects.Moreover,BPNN provides new tools and methods for handling large-scale complex data,offering new perspectives for the research and application of aeroelastic dynamics in tiltrotor aircraft.关键词
BP神经网络/倾转旋翼机/回转颤振/数据自适应/边界预测Key words
BP neural network/tiltrotor aircraft/whirl flutter/adaptive data/boundary prediction分类
航空航天引用本文复制引用
ZHENG Lixiong,CHEN Zhe,WANG Xin,ZHAO Qijun..融合数据自适应BPNN的倾转旋翼机回转颤振边界预测[J].航空学报,2025,46(z1):1-14,14.基金项目
国家自然科学基金(12032012) （12032012）
江苏省研究生科研与实践创新计划项目(KYCX25_0563) （KYCX25_0563）
江苏高校优势学科建设工程资助项目 National Natural Science Foundation of China(12032012) （12032012）
Postgraduate Research&Practice Innovation Program of Jiangsu Province(KYCX25_0563) （KYCX25_0563）
the Priority Academic Program Development of Jiangsu Higher Education Institutions （）
