Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/2883
標題: 最佳可變步長NLMS演算法應用於主動噪音控制系統的線上第二路徑鑑別
Optimal Variable Step-Size NLMS Algorithms for Online Secondary Path Modeling in Active Noise Control Systems
作者: 王清玄
Wang, Qing-Xuan
關鍵字: 主動噪音控制;active noise control (ANC);線上第二路徑鑑別;可變步長;最佳步長;online secondary path modeling;variable step-size;optimal step-size
出版社: 機械工程學系所
引用: [1] Lueg, P., "Process of Silencing Sound Oscillations", U.S. Patent, No.2043416, June 9, 1936. [2] Widrow, B. and Hoff, M. E., “Adaptive Switching Circuits”, IRE WESCON Conv. Rec, part4, pp. 96-104, 1960. [3] Burgess, J. C., “Active Adaptive Sound Control in a Duct: A Computer Simulation”, J. Acoust. Soc. Am., Vol. 70, pp. 715-726, 1981. [4] Kuo, S. M., and Morgan, D. R., Active Noise Control Systems: Algorithms and DSP Implementations, 605 Third Avenue, New York, 10158-0012, 1996. [5] Elliott, S. J., “Signal Processing for Active Noise Control, London”, U.K.: Academic, 2001. [6] Liao, C. W., and Lin, J.Y., “New FIR filter-based adaptive algorithm incorporating with commutation error to improve active noise control performance”, Automatica, ScienceDirect, Vol. 43, pp. 325-331, 2007. [7] Widrow, B. and Stearns, S. D., Adaptive Signal Processing. Englewood Cliffs, NJ:Prentice-Hall, 1985. [8] Eriksson, L. J. and Allie, M. A., “Use of random noise for online transducer estimate in an adaptive active attenuation system,” J. Acoust. Soc. Amer., vol. 85, pp. 797–802, Feb. 1989. [9] Bao, C., Sas, P. and Brussel, H. V., “Adaptive active control of noise in 3-D reverberant enclosures,” J. Sound Vibr., vol. 161, pp. 501–514, 1993. [10] Kuo, S. M. and Vijayan, D., “A secondary path estimate techniques for active noise control systems,” IEEE Trans. Speech Audio Processing, vol. 5, pp. 374–377, July 1997. [11] Zhang, M. Lan, H. and Ser, W., “Cross-updated active noise control system with online secondary path modeling,” IEEE Trans. Speech, Audio Proc.,vol. 9, no. 5, pp. 598–602, 2001. [12] Akhtar, M. T.,Abe, M. and Kawamata, M., “Modified-filtered-x LMS algorithm based active noise control system with improved online secondarypath modeling,” in Proc. IEEE 2004 Intern. Circuits Systemsd, Japan, pp. I-13–I-16, July 25–28, 2004. [13] Akhtar, M. T.,Abe, M. and Kawamata, M., “A New structure for feedforward active noise control systems with improved online secondary path modeling,” IEEE Trans. Speech Audio Process., vol. 13, no. 5, pp. 1082–1088, Sep. 2005. [14] Jin, G.Y. and Zhang, H., “An Adaptive Active Vibration and Noise Control System with Online Secondary Path Modeling,” Measuring Technology and Mechatronics Automation, 2009. ICMTMA ''09. International Conference on , vol.1, no., pp.582-585, April 11-12, 2009 [15] Kwong, R. H. and Johnston, E. W., “A Variable Step Size LMS Algorithm”, IEEE Trans, Signal Process., Vol. 40, No. 7, pp. 1633-1642, 1992. [16] Mader, A., Puder, H., and Schmidt, G. U., “Step-size control for acoustic echo cancellation filter─An overview, ” Signal Process., vol. 4, pp.1697-1719, Sep. 2000. [17] Haweel, T. I., “A simple variable step size LMS adaptive algorithm”, Wiley InterScience, Vol. 32, pp. 523-536, 2004. [18] Zhang, M., Lan, H. and Ser, W., , “On comparison of online secondary path modeling methods with auxiliary noise,” Speech and Audio Processing, IEEE Transactions on , vol.13, no.4, pp. 618- 628, July 2005 [19] Akhtar, M. T., Abe, M. and Kawamata, M., “A new variable step size LMS algorithm-based method for improved online secondary path modeling in active noise control systems,” Audio, Speech, and Language Processing, IEEE Transactions on , vol.14, no.2, pp. 720- 726, March 2006. [20] Carini, A., Malatini, S., “Optimal Variable Step-Size NLMS Algorithms With Auxiliary Noise Power Scheduling for Feedforward Active Noise Control,” Audio, Speech, and Language Processing, IEEE Transactions on , vol.16, no.8, pp.1383-1395, Nov. 2008. [21] 沈建宏,應用可變步階的方法於主動噪音控制系統中的線上回授路徑建模,國立中興大學機械工程研究所,碩士論文,2010。 [22] 陳冠宏,線上第二路徑鑑別的方法應用於主動噪音控制系統,國立中興大學機械工程研究所,碩士論文,2011。 [23] 黃靜宜,狹帶延遲類神經網路於主動噪音控制之應用,國立中興大學機械工程研究所,碩士論文2006。
摘要: 
在主動噪音控制系統的實際運用中,使用FxLMS演算法需要得到第二路徑轉移函數,以往第二路徑轉移函數大多以離線鑑別的方式取得,但考慮到系統有改變的情況發生,離線取得的第二路徑轉移函數會變得不準,因此需要發展線上第二路徑鑑別方法來解決此問題。在此本文提出一種新的線上第二路徑鑑別方法,應用最佳可變步長NLMS演算法於控制器及鑑別器中提升線上第二路徑鑑別之主動噪音控制系統的收斂速度與消音性能,並使用補償器補償鑑別過程中的干擾以提升第二路徑鑑別的準確度。在電腦模擬中與既有的方法進行比較且模擬一些變動的情況,如第二路徑改變和第一路徑、第二路徑同時改變,從模擬結果得知本文方法有較好的性能與強健性。

The practical application of active noise control system, using the FxLMS algorithms need to get the transfer function of the secondary path. In the past the second path transfer function is mostly obtained from an off-line identification, but taking into account the system has the change situation occurrence, the transfer function of the secondary path which the off-line identification obtain can become inaccurate. Therefore require the development of online secondary path modeling methods to solve this problem. This study proposes a new online secondary path modeling method applied optimal variable step size NLMS algorithm is at the controller and discriminator to enhance the convergence speed and performance of the online secondary path modeling in active noise control system, and use the compensator compensates interference for the identification process to improve the accuracy of the identification of the secondary path modeling. In the computer simulation with the existing methods and simulation changes, such as the secondary path change and the primary path, the secondary path at the same time change from the simulation results that the proposed method has better performance and robustness.
URI: http://hdl.handle.net/11455/2883
其他識別: U0005-2308201220431700
Appears in Collections:機械工程學系所

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