Modal parameters identification of a helicopter based on AR modelsin the wavelet domain

HE Xufei;DENG Zhongmin;WU Xiaodong

Journal of Vibration and Shock ›› 2010, Vol. 29 ›› Issue (9) : 201-205.

PDF(1226 KB)
PDF(1226 KB)
Journal of Vibration and Shock ›› 2010, Vol. 29 ›› Issue (9) : 201-205.
论文

Modal parameters identification of a helicopter based on AR modelsin the wavelet domain

  • HE Xufei; DENG Zhongmin;WU Xiaodong
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Abstract

With a good time-frequency resolution, wavelet transforms have received a great consideration in the
structural dynamic analysis. This work takes a wavelet-based approach to identifying the modal parameters of a certain
type helicopter. An auto regression (AR) model in the wavelet domain is established by applying a continuous wavelet
transform to the time-history responses of the fuselage. And Coiflets function is used as the mother wavelet. The
coefficient matrices of the AR model, which parameterize the dynamic characteristics of the system, are calculated
through the pseudo-inverse method. Modal parameters are further obtained by solving the eigenvalue matrix. The effects
of wavelet transform scaling coefficient, shifting parameter and noise on the ability to accurately evaluate the modal
parameters are investigated. Results comparison are carried out with finite element analysis and other methods, to show
that the applied wavelet method is with high resolution and insensitive to noise, suitable for modal parameters
identification of helicopters.

Key words

continuous wavelet / modal analysis / dynamic response / parameter estimation / auto regression

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HE Xufei;DENG Zhongmin;WU Xiaodong. Modal parameters identification of a helicopter based on AR modelsin the wavelet domain[J]. Journal of Vibration and Shock, 2010, 29(9): 201-205
PDF(1226 KB)

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