【作者】 赵善红；

【导师】 裴承鸣；

【作者基本信息】 西北工业大学 ， 信号与信息处理， 2002， 硕士

【摘要】 基于飞机结构亚临界响应分析的颤振边界预测(FBP)技术是颤振试验研究的重要课题。本文根据颤振试验的原理和观测信号特点，综合运用联合时频分析和图像边缘识别理论，提出了一种颤振边界预测的新概念——时频共振(STF)，并完成了STF方法和算法的研究。本文详细研究了颤振信号联合时频谱图的特征，应用图像边缘识别方法对颤振信号时频谱图的轮廓、灰度进行了综合分析，给出了一种全新的颤振余量定标量化法，依此量化值完成对颤振边界的外推。基于LabVIEW虚拟仪器集成环境实现了数字仿真及实时分析软件的设计与开发。经数字仿真及在某型机翼气弹模型低速风洞颤振试验数据处理中的实际应用，取得了满意的结果。同时，还利用高速风洞试验数据和飞行试验数据进一步检验了STF的应用特性。结果表明，STF方法在精度、有效性和数值特性等方面优于传统的FBP方法，可以满足工程应用的实际需求。更多还原

【Abstract】 Flutter Boundary Prediction (FBP) based upon sub-critical turbulence response analysis is an important research work in flutter test field of aircraft. In this thesis, the theories of Joint Time Frequency Analysis and Image Processing are combined, and a new FBP method called STF is proposed. The characteristics of digital and application are investigated for STF. Simultaneously, a new FBP criterion is presented based on the gray-lavel and contour for the image of Gabor spectrogram and the relation parameter is used to make flutter boundary prediction. The functions of the method are studied by computer simulation and further examined by using severalflutter testing data (low- speed wind-tunnel, high-speed wind tunnel and flight). Theresults show us that the method is reasonable and feasible with advanced concept. The related software is developed on Lab VIEW for Windows.更多还原