Response prediction and excitation optimization of flight flutter tests based on a LPV model

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Journal of Vibration and Shock ›› 2022, Vol. 41 ›› Issue (2) : 103-112.

KOU Baozhi，LEI Ming，LU Xiaodong

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Abstract

As the requirement of real-time monitoring and flight test efficiency in flight flutter test, the local linear dynamic-pressure-varying model was established based on frequency domain subspace identification method with pole constraint and state-space interpolation algorithm. The process of velocity extension in flight flutter test combined with model iteration was designed, and the structural response prediction and excitation optimization using flight test data were realized. The accuracy of predicted responses and the effectiveness of excitation optimization were verified by simulation examples and actual flight test data: The accuracy of the predicted response value is gradually improved with the accumulation of flight test data, and the predictions meet the needs of engineering real-time monitoring compared with the actual flight test responses; The optimized excitations can improve the signal-to-noise ratio of responses and avoid the over-limitation of responses, which can improve the efficiency of flight flutter test.

Key words

flight flutter test / response prediction / excitation optimization / state-space model interpolation

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KOU Baozhi，LEI Ming，LU Xiaodong. Response prediction and excitation optimization of flight flutter tests based on a LPV model[J]. Journal of Vibration and Shock, 2022, 41(2): 103-112

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