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標題: 狹帶延遲類神經網路於主動噪音控制之應用
Tapped Delay Neural Network for Active Noise Control
作者: 黃靜宜
Huang, Jing-Yi
關鍵字: Tapped Delay Neural Network;狹帶延遲類神經網路;Active Noise Control;主動噪音控制
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] Burgess, J. C., “Active Adaptive Sound Control in a Duct: A Computer Simulation”, J. Acoust. Soc. Am., Vol. 70, pp. 715-726, September 1981. [4] Kuo, S. M. and Morgan, D. R., “Active Noise Control System: Algorithms and DSP Implementations”, 605 Third Avenue, New York, 10158-0012, 1996. [5] Kuo, S. M. and Morgan, D. R. “Active Noise Control: A Tutorial Review”, Proceeding of the IEEE, Vol. 87, pp. 943-975, June 1999. [6] Dai, X., Yang, T. and Shao, H., “A Study of Hybrid Control Based On H-infinity Synthesis Technique of Active Noise Control”, Proceedings of the 40th IEEE Conference on Decision and Control, Vol. 3, pp. 2586-2587, December 2001. [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] 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。 [10] Chang, C.-Y. and Shyu, K.-K., “Active Noise Cancellation with a Fuzzy Adaptive Filtered-X Algorithm”, IEE Proceedings, Circuits, Devices and Systems, Vol. 150, pp. 416-422, October 2003. [11] Snyder, S. D., and Tanaka, N., “Active Control of Vibration Using a Neural Network”, IEEE Trans. Neural Networks, VOL. 6, NO. 4, pp. 819-828, July 1995. [12] Chen, C. K., Chiueh, T.-D. and Chen, J.-H., “Active Cancellation System of Acoustic Noise in MR Imaging”, IEEE Trans. Biomedical Engineering, Vol. 46, No. 2, pp. 186-191, February 1999. [13] 周俊弘,管道聲場之類神經網路控制,國立台灣大學工程科學及海洋工程學研究所,碩士論文,2003。 [14] 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。 [15] 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。 [16] 羅華強,類神經網路-MATLAB的應用,清蔚科技,2001。 [17] Haykin, S., Neural Networks: A Comprehensive Foundation, Prentice Hall, 1999. [18] 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. [19] 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. [20] Tokhi, M. O. and Wood, R., “Active Noise Control Using Radial Basis Function Networks”, SDOS Control Eng. Practice, Vol. 5, No. 9, pp. 1311-1322, 1997. [21] 周鵬程,類神經網路入門-活用Matlab,全華科技圖書,2002。
本論文將探討狹帶延遲類神經網路於主動噪音控制系統之應用,首先,在系統鑑別上,利用類神經網路使用倒傳遞演算法鑑別第二路徑的轉移函數;在主動噪音控制上,利用類神經網路作為控制器應用於一維聲管的主動噪音控制上,但是因為第二路徑的影響會產生干擾使得倒傳遞演算法無法有效地更新權重;因此,我們利用兩種方式來降低干擾的影響,一為加入交換誤差之設計使得改良式倒傳遞演算法可以適時的更新權重;二為利用 控制理論對第二路徑設計回饋式頻譜整型控制器,使補償後的第二路徑閉迴路系統具有理想的動態特性。電腦模擬與實驗結果都顯示,無論類神經網路使用改良式倒傳遞演算法或者結合第二路徑之頻譜整型控器,皆具有良好的噪音抑制效果。

Tapped delay neural network (TDNN) for active noise control is investigated in this thesis. TDNN can be used to represent a model of a secondary path in an active noise control (ANC) system. TDNN can also be used as an ANC controller to attenuate noise in the ANC system. A filtered-x back propagation (FXBP) algorithm is utilized for TDNN in ANC applications and generally leads to diverge. To overcome this difficulty, two approaches are considered. One approach applies a modified residual error for FXBP. Another approach applies a robustly controlled secondary path for TDNN. Results of computer simulation and experiment show that our proposed approaches can effectively improve the convergence property of FXBP algorithm for TDNN in ANC applications and result in good performance of noise reduction.
其他識別: U0005-1506200614254900
Appears in Collections:機械工程學系所

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