Volume 35 Issue 1
Jan.  2020
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ZHANG Jie, SHI Zhiyu, LI Lirong. Parameter identification of linear time-varying systems based on chirplet transform under environmental excitation[J]. Journal of Aerospace Power, 2020, 35(1): 9-17. doi: 10.13224/j.cnki.jasp.2020.01.002
Citation: ZHANG Jie, SHI Zhiyu, LI Lirong. Parameter identification of linear time-varying systems based on chirplet transform under environmental excitation[J]. Journal of Aerospace Power, 2020, 35(1): 9-17. doi: 10.13224/j.cnki.jasp.2020.01.002

Parameter identification of linear time-varying systems based on chirplet transform under environmental excitation

doi: 10.13224/j.cnki.jasp.2020.01.002
  • Received Date: 2019-07-30
  • Publish Date: 2020-01-28
  • The assumption that frequencies of responses of linear time-varying systems vary linearly in a short-time was proposed. By fitting the time-varying responses to multi-component line frequency modulation signals, a physical parameter identification method of time-varying systems under random white noise excitation was obtained according to the cross-correlation theory of line frequency modulation signals. The mass and stiffness coefficients of time-varying structures were identified only using the acceleration response. Due to the introduction of frequency modulation factor to describe the variation of frequencies of response signals in a short-time, this method could track fast changes or even abrupt changes of parameters better than traditional identification method, so it had important application value for time-varying structures in practical engineering. In the simulation example, a 3-degress of freedom time-varying structure model was constructed to identify linear, periodic and abrupt changes of physical parameters. The error analysis showed that the identification errors were all within 5%. The results verified the correctness and applicability of the method.

     

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