Adaptive Suppression Method for Elastic Vibrations in the Control System of Guided Rocket

This paper proposes a method for the autonomous identification of elastic frequency and adaptive suppression of elastic vibration based on a priori information, in response to the lower elastic frequency and large frequency uncertainty range of guided rockets. Firstly, this method uses fast Fourier transform based on rolling time sequence to identify the elastic frequency of the measurement signal of the inertial navigation component in real time. Then, based on the a priori information from the modal test of the guided rocket, an iterative correction strategy was designed for identifying the frequency. Finally, according to the correction result of the elastic frequency, a parameter adjustment scheme for the notch filter is designed to achieve adaptive suppression of elastic vibration. The experimental results show that this method has high frequency identification accuracy, little impact on the rigid motion of the projectile body, and a better elastic vibration suppression effect.