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標題: 格子型適應性IIR濾波器於主動噪音之控制
Active Noise Control-Using Lattice Form Adaptive IIR Filter
作者: 蘇英筑
Su, Zhu-Ying
關鍵字: lattice;格子形;adaptive;IIR filter;active noise control;適應性;IIR濾波器;主動式噪音控制
出版社: 機械工程學系所
引用: 參考文獻 [1] Lueg, P. “Process of Silencing Sound Oscillations”, U.S. Patent, No.2043416, 1936 [2] Michael P. Nowak and Barry D. Van Veen, “A Constrained Transform Domain Adaptive IIR Filter Structure for Active Noise Control”, IEEE Transactions on Speech and Audio Processing, Vol. 5, No. 4, pp.334-347, July 1997 [3] Kook Hyun Yim, Jong Boo Kim, Tae pyo Lee, Doo Soo Ahn, “Genetic Adaptive IIR Filtering Algorithm for Active Noise Control”, IEEE international Fuzzy Systems Conference Proceedings August 22-25, pp. 1723-1728, 1999 , Seoul , Korea [4] Hu, J. S. “Active Sound Attenuation in Finite-Length Ducts Using Close-Form Transfer Function Models”, Journal of Dynamic Systems,Measurement, and Control, Vol. 117, pp.143-154, June 1995. [5] Hu, J. S. “Active Noise Cancellation in Ducts Using Internal Model-Based Control Algorithms”, IEEE Trans. On Control Systems Technology, Vol. 4, pp.163-170, March 1996. [6] 羅子良,含內部模式之設計於一維生管主動噪音之應用控制與 實作,國立中興大學機械工程研究所,碩士論文,1998. [7] Kuo, S. M. and Morgan, D. R., “Active Noise Control System:Algorithms and DSP Implementations”, 605 Third Avenue, New York,10158-0012, 1996 [8] Gan, W. S. and Kuo, S. M. “An Integrated Audio and Active Noise Control Headsets”, IEEE Trans. On Consumer Electronics , Vol. 48,pp.242-247, May 2002. [9] Bouchard, M. and Paillard, B. “An Alternative Feedback Structure for The Adaptive Active Control of Periodic And Time-Varying Periodic Disturbances”, Journal of Sound and Vibration, pp.517-527,1998. [10] 葉智偉,控制路徑頻譜整形於主動噪音控制之應用探討,國立 中興大學機械工程研究所,碩士論文,2002. [11] 林士能,具有線上輔助修正之前饋主動噪音控制器的設計與實 作,國立中興大學機械工程研究所,碩士論文,2001. [12] Qifu Fan, Kenzo Nonami, and Mitsuo Nnkano, “Adaptive Lattice IIR Filtering Revisited:Convergence Issues and New Algorithms with Improved Stability Properties”, IEEE Transactions on Control Systems Technology, Vol. 49, No.4, April 2001 [13] P.A Regalia,“Adaptive IIR Filtering in Signal Processing and Control”, Marcel Dekker Inc. , 1995 [14] Jing Lu, Xiaojun Qiu and Boling Xu,“A New Adaptive IIR AlgorithmFor Active Noise Control”, IEEE Conference, Vol. 5,2003 [15] A. H. Gray Jr., and J. D. Markel, A normalized filter structure, IEEE Trans. Acoustics, Speech, and Signal Processing, 23:268-277, June1975 [16] A. H. Gray Jr., and J. D. Markel., Roundoff noise characteristics of a Class of orthogonal polynomial structure, IEEE Trans. Acoustics,Speech, and Signal Processing, 23:473-486, 1975 [17] C. T. Mullis and R. A. Roberts, Synthesis of minimum roundoff noise Fixed point digital filters, IEEE Trans. Circuits and System, 23:551-562, September 1976. [18] R. A Regalia, S. K. Mitra, and P. P. Vaidyanathan, The digital all-pass filter. A versatile signal processing building block, Proc. IEEE, 76:19-37, January 1998. [19] P. P. Vaidyanathan, The discrete-time bounded real lemma in digital filtering, IEEE Trans. Circuits and Systems, 32:918-924, September 1985 [20] A.Fettweis, Wave digital filters: Theory and practice, Proc. IEEE,74:270-327, February 1986 [21] D.R.Morgan, “An analysis of multiple correlation cancellation loops with afilter in the auxiliary path”, IEEE Trans. Acous, Speech, Signal Processing, ASSP-28, 454-467, Aug. 1980. [22] 廖慶文,使用雙音圈致動喇叭於管路之適應性控制,國立中興 大學機械工程研究所,碩士論文,2006. [23] 陳俊杰,含喇叭動態效應聲管的主動噪音前饋控制器設計與實 作,國立中興大學機械工程研究所,碩士論文,1999.

本篇論文主要是使用格子型適應性IIR濾波器於主動噪音之控制,因為傳統的IIR濾波器有回授式元件,在更新權重參數的過程中,極點可能會落在z平面上的單位圓外,因此有穩定性的問題,為了改善這個問題,我們使用了格子型適應性IIR濾波器,使極點不會落在單位圓外,可以保證濾波器的穩定,但是Lattice filtered reference LMS (LFRLMS)演算法在權重參數學習時,仍然不可以將學習因子調的太大,如果調的太大,濾波器還是會發散,於是我們在主動噪音控制中加入交換誤差的觀念,使得權重參數在更新時不需要再做緩慢適應的假設,因此可以提升濾波器參數學習的速率,而不會導致濾波器發散。從電腦模擬與實驗結果顯示使用交換誤差後的LFRLMS演算法確實比傳統的LFRLMS演算法消音效果來的好。


In this thesis, we use lattice form adaptive IIR filter for active noise control. The traditional IIR filter still have not been widely used in the application of the active noise control system due to the following disadvantage. The traditional IIR filter is not unconditionally stable due to the possibility that some poles of the filter might move outside of the unit circle during the weights update. To overcome this difficulty, we use lattice form adaptive IIR filter which is inherent stable in active noise control system. Also, the lattice form adaptive IIR filer is stable, but it is still needed to assume slow adaptation when the weights proceed update. To solve this problem, we lead the commutation error concept into active noise control system. This concept can let us get rid of above-mentioned assumptions. So we can use bigger learning factor to improve learning speed of the filter, and do not make the filter unstable. Results of computer simulation and experiment show that our proposed ANC controller has a good performance of noise reduction.
其他識別: U0005-1506200612574600
Appears in Collections:機械工程學系所

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