一种基于频率估计的自适应主动控制方法

An adaptive active control method based on frequency estimation

主动控制是隔离水下航行器机械振动的有效方式,受安装空间限制及设备间耦合复杂激励作用,往往不便或难以有效拾取高信噪比参考信号,这将严重影响基于参考信号的主动控制算法应用及其效果。以滤波自适应算法为基础,通过频率识别和信号数字合成理论,提出一种不需要外界参考信号的自适应控制策略,并应用于旋转设备双层隔振系统主动控制。结果表明:两种算法可有效降低隔振系统残差信号,传统算法基频线谱控制能力较好,而频率估计自适应算法多线谱控制能力更优,但两者稳态控制力基本相当,说明要抑制同样激励均需消耗等量次级振源能量;因此,所提频率估计和数字合成方法能获得稳定有效的参考信号,可应用于复杂安装环境下旋转机械的振动主动控制。

Active control is an effective way to isolate mechanical vibration of underwater vehicles.Because of limiting factors such as installation space and equipments coupling complex excitation,it is difficult to effectively pick up or obtain a higher SNR reference signal,which seriously affects the application and effect of active control algorithms based on reference signals.Therefore,based on the filtered-x adaptive control algorithm,an adaptive control strategy without reference signal was proposed using the frequency identification and signal digital synthesis theory,and it was applied to active control for the double-layer vibration isolation system of a rotating equipment.The results show that the two algorithms can effectively reduce the residual signal of the vibration isolation system,the filtered-x adaptive algorithm has better ability to control the fundamental line spectrum,while the other one has better performance in multi-line spectrum control,and the steady-state control force of the former is basically the same as the latter,which also illustrates that the same amount of secondary vibration source energy is required to consume the same external incentives.In addition,the frequency estimation and digital synthesis method can obtain a stable and effective reference signal,which can be applied to active vibration control of rotating machinery in complex installation environment.