Restoration Method for High-frequency Features of Flight Data in the Thrust Vector Control Servo System of Launch Vehicle
In order to solve the issue of missing high-frequency information of flight data in servo system of launch vehicles,a high-frequency feature restoration method based on wavelet multi-resolution analysis is proposed.Initially,features are extracted from ground hot firing test data through wavelet multi-resolution analysis.Subsequently,leveraging the correlation between the angular velocity signal and high-frequency features,a feature matching approach is put forward for predicting the high-frequency features of the flight data.Finally,the linear superposition method is conducted to achieve feature fusion,thus completing the feature restoration process of the flight data.The experimental verification is carried out.It shows that,compared to the baseline data,the restoration results have a consistent commutation frequency pattern,which imply that the proposed feature restoration method is feasible and effective.The study can provide data support for obtaining the characteristics of actual flight profile for aerospace servo products.
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