基于时序模型的颤振预测技术研究  

Flutter Boundary Prediction Based on Time Series Models

作　　者：刘立坤 张春蔚[1] 王东森[1] Liu Likun;Zhang Chunwei;Wang Dongsen(Chinese Flight Test Establishment,Xi＇an 710089,China)

机构地区：[1]中国飞行试验研究院,陕西西安710089

出　　处：《航空科学技术》2018年第11期20-24,共5页Aeronautical Science & Technology

摘　　要：本文主要研究了颤振边界预测应用技术,针对湍流激励下的结构响应数据,采用遗忘因子最小二乘法建立时序模型,结合Jury稳定性判据构造不同飞行速度下的稳定性参数,通过外推得到颤振临界速度预测结果。以仿真试验为例,讨论了临近边界速度大小和响应数据时间长度等因素对预测精度的影响。最后结合颤振风洞试验实测数据验证了该方法的合理性和工程实用性。The application of flutter boundary prediction based on time series models was researched. E-stabllsneo time series models with the forgetting factor least square method according to the structural responses under turbulence excitation. Constructed the stability parameters at different flight speeds using the Jury＇ s stability criterion. The prediction results of the critical velocity of flutter were obtained then by extrapolation of the stability parameters. The velocity points and response signal length which influenced on the prediction results was discussed. Finally, the rationality and practicability of the method were verified by the measured data of flutter flight test.

关 键 词：颤振边界预测 时序模型 遗忘因子最小二乘法 

分 类 号：V217[航空宇航科学与技术—航空宇航推进理论与工程]