导弹弹性振动在线辨识及自适应抑制

新一代导弹具有大空域宽速域等特点，飞行环境的剧烈变化及自身长细比结构特性，导致导弹的弹性振动模态参数变化范围大，传统的固定参数陷波滤波器难以适应这种剧烈的参数变化。本文提出了一种自适应弹性振动抑制算法，首先通过调制滑动傅里叶变换算法对速率陀螺的输出信号进行时频分析，实时辨识出各阶弹性振动信号的频率和幅值，并根据辨识结果设计了一种陷波滤波器参数在线整定方法，从而保证陷波滤波器能快速准确滤除弹性振动信号。仿真实验结果表明，该算法能够快速有效地辨识出弹性振动信号，并且对于频率突变和频率线性变化的非平稳信号也有较好的适应能力，能够满足实际工程需求。

Missile Elastic Vibration Identification and Adaptive Suppression

The new generation missile has the characteristics of large airspace and wide speed range. The drastic change of flight environment and the influence of slenderness ratio on the structural characteristics of the missile result in a wide range of structural modal parameters. The traditional fixed-parameter notch filter is difficult to adapt to this drastic parameter change. An adaptive elastic vibration suppression algorithm is proposed in this paper. Firstly, the frequency spectrum of the output signal of rate gyroscope is analyzed by modulated sliding discrete Fourier transform algorithm, and the frequency and amplitude of each order elastic vibration signal are identified in real-time. Based on the identification results, an on-line tun-ing method of the notch filter is designed to ensure that the notch filter can filter the elastic vibration signal quickly and ac-curately. The simulation results show that the algorithm can identify the elastic vibration signal quickly and effectively, and has the strong adaptive ability for the non-stationary signals with frequency mutation and linear change, and can meet the practical engineering requirements.