CAJ | 학술논문

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.
침대착대신호,제출료기우자괄응함파기적차급통도특성재선식별산법,해방법이용자괄응함파기기술해결재선식별시존재적격려신호피간우문제,종이제고차급통도특성재선식별적속도,체도제고산법정체성능적목적.토론료삼고신호비례인자대계통적영향.실험결과표명,응용해산법적공제계통적정체성능득도교대정도적제고.
An improved algorithm is presented to identify the secondary path based on the adaptive notch filter approach. Since the interference from the narrow band excitation signal is suppressed by the adaptive notch filter, the convergent speed of the on-line control path identification process is significantly improved. As a result, the controller performance is greatly enhanced. Besides the algorithm development, some important factors, such as the influence of reference signal on the controller convergent speed, are also discussed. The effectiveness of the algorithm is verified by experimental results.