应用自适应陷波器技术改进FXLMS算法OA
IMPROVED FXLMS ALGORITHM BASED ON ADAPTIVE NOTCH FILTER APPROACH
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.
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 r…查看全部>>
陈晓曾;陈勇;刘永刚
南京航空航天大学机电学院,南京,210016,中国南京航空航天大学机电学院,南京,210016,中国南京航空航天大学机电学院,南京,210016,中国
通用工业技术
主动控制自适应陷波器FXLMS算法在线识别
active controladaptive notch filterFXLMS algorithmon-line identification
《南京航空航天大学学报（英文版）》 2004 (3)
用于飞行器翼面流场主动控制的智能结构基础
241-246,6
国家自然科学基金(10302010)资助项目航空科学基金(H0117-013)资助项目江苏省自然科学基金(90116-013)资助项目.
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