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Flight Flutter Modal Parameters Identification with Atmospheric Turbulence Excitation Based on Wavelet Transformation 被引量:4

利用小波变换对基于大气紊流激励的飞机颤振模态参数进行识别(英文)
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摘要 In view of the feature of flight flutter test data with atmospheric turbulence excitation, a method which combines wavelet transformation with random decrement technique for identifying flight flutter modal parameters is presented. This approach firstly uses random decrement technique to gain free decays corresponding to the acceleration response of the structure to some non-zero initial conditions. Then the continuous Morlet wavelet transformation of the free decays is performed; and the Parseval formula and residue theorem are used to simplify the transformation. The maximal wavelet transformation coefficients in different scales are searched out by means of band-filtering characteristic of Morlet wavelet, and then the modal parameters are identified according to the relationships with maximal modulus and angle of the wavelet transform. In addition, the condition of modal uncoupling is discussed according to variation trend of flight flutter modal parameters in the flight flutter state. The analysis results of simulation and flight flutter test data show that this approach is not only simple, effective and feasible, but also having good noise immunity. In view of the feature of flight flutter test data with atmospheric turbulence excitation, a method which combines wavelet transformation with random decrement technique for identifying flight flutter modal parameters is presented. This approach firstly uses random decrement technique to gain free decays corresponding to the acceleration response of the structure to some non-zero initial conditions. Then the continuous Morlet wavelet transformation of the free decays is performed; and the Parseval formula and residue theorem are used to simplify the transformation. The maximal wavelet transformation coefficients in different scales are searched out by means of band-filtering characteristic of Morlet wavelet, and then the modal parameters are identified according to the relationships with maximal modulus and angle of the wavelet transform. In addition, the condition of modal uncoupling is discussed according to variation trend of flight flutter modal parameters in the flight flutter state. The analysis results of simulation and flight flutter test data show that this approach is not only simple, effective and feasible, but also having good noise immunity.
出处 《Chinese Journal of Aeronautics》 SCIE EI CAS CSCD 2007年第5期394-401,共8页 中国航空学报(英文版)
基金 National Natural Science Foundation of China(60134010)
关键词 flight flutter modal parameters identification atmospheric turbulence excitation wavelet transformation random decrement technique acceleration response flight flutter modal parameters identification atmospheric turbulence excitation wavelet transformation random decrement technique acceleration response
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参考文献4

  • 1Kehoe M W. A historical overview of flight flutter testing. NASA TM-4720, 1995.
  • 2Kehoe M W. Aircraft flight flutter testing at the NASA AmesDryden flight research facility. NASA TM- 100417, 1988.
  • 3Ibrahim S R, Asmussen J C, Brincker R. Modal identification from responses of general unknown random inputs. Proceedings of 14th International Modal Analysis Conference. Dearborn, Michigan: 1996; 1: 446-452.
  • 4Brenner M J. Wavelet analyses of F/A-18 aeroelastic and aeroservoelastic flight test data. NASA TM-4793, 1997.

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