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標題: 適應性IIR濾波器於主動噪音控制之應用
Adaptive IIR Filter for Active Noise Control
作者: 陳映先
Chen, Ying-Shen
關鍵字: Active Noise Control;主動噪音控制;IIR filter;IIR濾波器
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 1936. [2] Widrow, B. and Hoff, M. E., “Adaptive Switching Circuits”, IRE WESCON Conv. Rec, part 4, pp. 96-104, 1960. [3] Eriksson, L. J., Allie, M. C. and Greiner, R. A. “The selection and application of an IIR adaptive filter for use in active sound attenuation”, IEEE Trans. Acoust., Speech, Signal Processing ASSP-35, 433-437, Apr. 1987. [4] Burgess, J. C., “Active Adaptive Sound Control in a Duct: A Computer Simulation”, J. Acoust. Soc. Am., Vol. 70, pp. 715-726, September 1981. [5] Kuo, S. M. and Morgan, D. R., “Active Noise Control System: Algorithms and DSP Implementations”, 605 Third Avenue, New York, 10158-0012, 1996. [6] Kuo, S. M. and Morgan, D. R., “Active Noise Control: A Tutorial Review”, Proceeding of the IEEE, Vol. 87, pp. 943-975, June 1999. [7] O’Brien, M. and Pratt, P. ,“Active Noise Control Using Robust Feedback Techniques”, IEEE International Conference on Acoustics, Speech, and Signal Processing, Vol. 5, pp. 3209-3212,May 2001. [8] Yuan, Jing,“A Hybrid Active Noise Controller for Finite Ducts”,Applied Acoustics, Vol.65, pp.44-57, January 2004. [9] Lin , J.-Y. and Sheu, H.-Y. and Chao, S.-C. ,“LQG/GA Design of Active Noise Controllers for a Collocated Acoustic Duct System”,Journal of Sound and Vibration, Vol. 228, No.3, pp. 629-650, Dec 1999. [10] 余玉田,雙自由度主動噪音控制之設計與實作,國立中興大學 機械工程研究所,碩士論文,2000。 [11] 賴銘相,以第二路徑強健回授控制為基礎之適應混合式主動噪 音控制,國立中興大學機械工程研究所,碩士論文,2004。 [12] Sun, X. and CHEN, D.-S., “A New Infinite Impulse Response Filter-based Aaptive Algorithm for Active Noise Control”,Journal of Sound and Vibration, 258 (2), 385-397,Dec 2002. [13] 廖慶文,使用雙音圈致動喇叭於管路之適應性主動噪音控制, 國立中興大學機械工程研究所,博士論文,2006。 [14] Feintuch, P. L. “An adaptive recursive LMS filter”, Proc. IEEE, 64, 1622-1624, Nov. 1976. [15] Kouno, T., Ohmori, H. and Sano, A., “New Direct Adaptive Active Noise Control Algorithms in Case of Uncertain Secondary Path Dynamics”, Proceedings of the American Control Conference, Vol. 3, pp. 1767- 1772, May 2002. [16] Jayawardhana, B., Xie, L. and Yuan, S., “Active Control of Sound based on Diagonal Recurrent Neural Network”, SICE. Proceedings of the 41st SICE Annual Conference, Vol. 5, pp. 2666-2671, August 2002. [17] 陳俊弘,類神經網路於主動式噪音控制之應用-使用頻譜整型 之第二路徑,國立中興大學機械工程研究所,碩士論文, 2005。 [18] Ying Song, Yu Gong, and Kuo, S. M. , “A Robust Hybrid Feedback Active Noise Cancellation Headset”, Proceeding of the IEEE, Vol. 13,NO.4, July 2005.
本篇論文主要研究適應性IIR濾波器在主動噪音控制的應用,因為IIR濾波器應用於主動噪音控制上時,受到第二路徑動態效應的影響,使用傳統FuLMS演算法的IIR濾波器會有發散的問題,因此調整權重參數的値選擇必須比較小。本研究以兩個方向來改善此種情況並提升其消音性能,其一為傳統FuLMS演算法加入Filtered Residual Error及Commutation Error,加入前者能夠得到全域最小值,後者可排除更新權重時必須假設slow adaption的條件;其二為對第二路徑設計回授式的頻譜整型控制器,使第二路徑動態效應的影響減少。在前饋式主動噪音的架構下,電腦模擬及消音實驗驗證適應性IIR濾波器使用改良式演算法及第二路徑頻譜整型控制器於主動噪音控制系統在消音性能上能有改善效果。

The aim of this thesis is to examine applications of adaptive IIR filters with a FuLMS algorithm for active noise control (ANC). Due to existence of a secondary path in ANC systems, a small value of step size is applied to FuLMS algorithm and generally leads to slow convergence. To improve this difficulty, two approaches have been taken into account. One approach applies a modified residual error for the FuLMS algorithm. Another approach applies a robustly controlled secondary path for the adaptive IIR filter. Results of computer simulation show that adaptive IIR filters in our proposed approaches allow larger value of step size and lead to better convergence property as compared with that of the existing approaches. Results of experiment support the simulation results and demonstrate effective noise reduction performance.
其他識別: U0005-1506200613130900
Appears in Collections:機械工程學系所

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