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针对窄带信号 ,提出了基于自适应陷波器的次级通道特性在线识别算法 ,该方法利用自适应陷波器技术解决在线识别时存在的激励信号被干扰问题 ,从而提高次级通道特性在线识别的速度 ,达到提高算法整体性能的目的。讨论了参考信号比例因子对系统的影响。实验结果表明 ,应用该算法的控制系统的整体性能得到较大程度的提高
Aiming at the narrowband signal, an on-line identification algorithm based on adaptive notch filter is proposed. This method uses adaptive notch filter to solve the problem of interference of excitation signal during on-line identification and enhances the online recognition of secondary channel characteristics The speed of the algorithm to achieve the purpose of improving the overall performance. The effect of the reference signal scaling factor on the system is discussed. The experimental results show that the overall performance of the control system using this algorithm has been greatly improved