Method Of Time Frequence Syntony For Flutter Boundary Prediction

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.