基于误差通道在线辨识的自适应控制算法研究
Analysis of the Adaptive Control Algorithm with On-Line Secondary Path Modeling
DOI: 10.12677/OJAV.2019.73011, PDF,   
作者: 赵 涛*：驻锦州地区军事代表室，辽宁 锦州；谢英祺：哈尔滨工程大学动力与能源工程学院，黑龙江 哈尔滨
关键词: 自适应算法；误差通道在线辨识；主动控制；Adaptive Control Algorithm； Online Secondary Path Modeling； Active Control
摘要: 本文基于经典FxLMS算法，提出一种在线辨识的自适应控制算法。该方法采用变步长策略来进行误差通道辨识过程的调节，由于步长随辨识过程动态变化的特点，它能较好地消除误差通道辨识环节和主动控制环节之间的相互影响，使系统的总体性能得到提高。在MATLAB环境下与前人的方法进行了比较，仿真结果表明本文的方法在误差通道的辨识、振动的控制以及对误差通道参数变化的适应等方面，均优于之前的方法。
Abstract: In this manuscript, a Filtered-x Least Mean Square (FxLMS) based on-line secondary path modeling method is proposed. It introduces variable step size strategy to regulate the secondary path modeling process. Thanks to its dynamic regulation property, it can well eliminate the mutual influence between the identification of secondary path and the operation of the ANC controller, which improves the overall performance of the system. Compared with previous algorithms in the environment of MATLAB, the simulation results show that it has better secondary path identification performance, better vibration reduction and stronger robust.
文章引用：赵涛, 谢英祺. 基于误差通道在线辨识的自适应控制算法研究[J]. 声学与振动, 2019, 7(3): 104-110. https://doi.org/10.12677/OJAV.2019.73011

参考文献

[1] Kuo, S.M. and Morgan, D. (1996). Active Noise Control Systems: Algorithms and DSP Implementations. John Wiley & Sons, Inc., New York.
[2] 浦玉学, 张方, 姜金辉, 徐菁, 蒋祺. 基于次级通道在线辨识新算法的振动主动控制[J]. 振动、测试与诊断, 2016, 36(1): 28-35.
[3] 周刘彬. 典型浮筏主动隔振试验研究[C]//中国造船工程学会船舶振动噪声重点实验室. 第十六届船舶水下噪声学术讨论会论文集. 无锡: 中国船舶科学研究中心“船舶力学”编辑部, 2017: 53-59.
[4] 揭伟俊, 翁雪涛, 李超博. 基于FxLMS算法的双层隔振系统主动控制研究[J]. 兵器装备工程学报, 2016, 37(6): 166-169.
[5] 杨铁军, 顾仲权, 鲁明月, 雷凌云, 朱明刚. 基于误差通道在线辨识的结构振动主动控制系统[J]. 振动与冲击, 2004, 23(3): 55-59+69.
[6] 孙文豪, 张锋, 罗顺安, 汪涵. 自适应主动振动控制仿真分析[J]. 噪声与振动控制, 2017, 37(6): 23-28+60.
[7] 浦玉学, 张方, 姜金辉. 变步长自适应结构振动主动控制算法[J]. 振动与冲击, 2015, 34(10): 199-205.
[8] Davari, P. and Hassanpour, H. (2008) A New Online Secondary Path Modelling Method for Feedforward Active Noise Control Systems. 2008 IEEE International Conference on Industrial Technology, Chengdu, 21-24 April 2008, 1-6. [Google Scholar] [CrossRef] 
[9] Davari, P. and Hassanpour, H. (2008) A Variable Step-Size FxLMS Algorithm for Feedforward Active Noise Control Systems Based on a New Online Secondary Path Modelling Technique. 2008 IEEE/ACS International Conference on Computer Systems and Applications, Doha, Qatar, 31 March-4 April 2008, 74-81. [Google Scholar] [CrossRef] 
[10] Hassanpour, H. and Davari, P. (2009) An Efficient Online Secondary Path Estimation for Feedback Active Noise Control Systems. Digital Signal Processing, 19, 241-249. [Google Scholar] [CrossRef] 
[11] Eriksson, L.J. and Allie, M.C. (1989) Use of Random Noise for on-line Transducer Modeling in an Adaptive Active Attenuation System. The Journal of the Acoustical Society of Ameri-ca, 85, 797-802. [Google Scholar] [CrossRef] 
[12] Bao, C., Sas, P. and Brussel, H.V. (1993) Adaptive Active Control of Noise in 3-D Reverberant Enclosures. Journal of Sound and Vibration, 161, 501-514. [Google Scholar] [CrossRef] 
[13] Kuo, S.M. and Vijayan, D. (2002) A Secondary Path Modeling Tech-nique for Active Noise Control Systems. IEEE Transactions on Speech and Audio Processing, 5, 374-377. [Google Scholar] [CrossRef] 
[14] Zhang, M., Lan, H. and Ser, W. (2001) Cross-Updated Active Noise Con-trol System with Online Secondary Path Modeling. IEEE Transactions on Speech and Audio Processing, 9, 598-602. [Google Scholar] [CrossRef] 
[15] Lan, H., Zhang, M. and Ser, W. (2002) An Active Noise Control System Using Online Secondary Path Modeling with Reduced Auxiliary Noise. IEEE Signal Processing Letters, 9, 16-18. [Google Scholar] [CrossRef] 
[16] Akhtar, M.T., Abe, M. and Kawamata, M. (2005) A Method for Online Secondary Path Modeling in Active Noise Control Systems. 2005 IEEE International Symposium on Circuits and Systems, Kobe, Japan, 23-26 May 2005, 264-267.

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