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

For satisfying the requirements of real-time monitoring and flight test efficiency in flight flutter tests, a local linear dynamic-pressure-varying model was established based on the frequency domain subspace identification method with pole constraint and the state-space interpolation algorithm. The process of velocity extension in the flight flutter tests 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 results show that the accuracy of the predicted responses is gradually improved along with the accumulation of flight test data, and the prediction values can meet the needs of engineering real-time monitoring, compared with the actual flight test responses. The optimized excitation can improve the signal-to-noise ratio of responses and avoid the over-limit of responses, which can improve the efficiency of flight flutter tests. © 2022, Editorial Office of Journal of Vibration and Shock. All right reserved.