| 应用自适应陷波器技术改进FXLMS算法 |
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| 引用本文： | 陈晓曾,陈勇,刘永刚.应用自适应陷波器技术改进FXLMS算法[J].南京航空航天大学学报(英文版),2004,21(3):241-246. |
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| 作者姓名： | 陈晓曾 陈勇 刘永刚 |
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| 作者单位： | 南京航空航天大学机电学院,南京,210016,中国 |
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| 基金项目： | 国家自然科学基金 ( 1 0 3 0 2 0 1 0 )资助项目，航空科学基金 ( H0 1 1 7-0 1 3 )资助项目，江苏省自然科学基金 ( 90 1 1 6-0 1 3 )资助项目~~ |
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| 摘 要： | 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。
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| 关 键 词： | 在线识别 自适应陷波器 FXLMS算法 通道 整体性能 比例因子 窄带 |
IMPROVED FXLMS ALGORITHM BASED ON ADAPTIVE NOTCH FILTER APPROACH |
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| CHEN Xiao-zeng,CHEN Yong,LIU Yong-gang.IMPROVED FXLMS ALGORITHM BASED ON ADAPTIVE NOTCH FILTER APPROACH[J].Transactions of Nanjing University of Aeronautics & Astronautics,2004,21(3):241-246. |
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| Authors: | CHEN Xiao-zeng CHEN Yong LIU Yong-gang |
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| Abstract: | 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. |
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| Keywords: | active control adaptive notch filter FXLMS algorithm on-line identification |
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