Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/2464
標題: 可變步階的串聯演算法於主動噪音控制系統之應用
Active Noise Control Systems Using Variable Step-Size Cascading Algorithm
作者: 簡家安
Jian, Jia-An
關鍵字: active noise control (ANC);主動噪音控制;disturbance;variable step size;干擾;可變步階
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, 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, Ching-Wen and Lin, John-Yih, “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] Kuo, S. M. and Ji, M., “Passband disturbance reduction in periodic active noise control systems”, IEEE Trans, Speech Audio Process., Vol. 4, No. 2, pp. 96-103, 1996. [8] Wu, B. and Bodson, M., “Multi-Channel Active Noise Control for Periodic Disturbances”, in 38th Proc. IEEE Int Conf. on Decision & Control, Vol. 5, pp. 4971-4975, 1999. [9] Bodson, M., Jensen, J. S. and Douglas, S. C., “Active Noise Control for Periodic Disturbances”, IEEE Trans, Control Systems Technology., Vol. 9, No. 1, pp.200-205, 2001. [10] Bodson, M., “Performance of an adaptive algorithm for sinusoidal disturbance rejection in high noise”, Automatica, Vol. 37, pp. 1133-1140, 2001. [11] Zhang, M., Lan, H. and Ser, W., “Cross-Updated Active Noise Control System with Online Secondary Path Modeling”, IEEE Trans, Speech Audio Process., Vol. 9, No. 5, pp. 598-602, 2001. [12] Sun, X. and Kuo, S. M., “Active Narrowband Noise Control Systems Using Cascading Adaptive Filters” IEEE Trans, Speech Audio Process., Vol. 15, No. 2, pp. 586-592, 2007. [13] Akhtar, M. T. and Mitsuhashi, W., “Hybrid Active Noise Control System for Correlated and Uncorrelated Noise Sources”, in 6th ISPA, Vol. 5, pp. 17-21, 2009. [14] Akhtar, M. T. and Mitsuhashi, W., “Improving Performance of Active Noise Control Systems in the Presence of Uncorrelated Periodic Disturbance at Error Microphone”, in ISCAS 2009 on circuits and systems, Vol. 4, pp. 2041-2044, 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] Shin, H. C., Sayed, A. H. and Song, W. J., “Variable Step-Size NLMS and Affine Projection Algorithms”, Signal Process Letters, IEEE, Vol. 11, No. 2, pp. 132-135, 2004. [17] Haweel, T. I., “A simple variable step size LMS adaptive algorithm”, Wiley InterScience, Vol. 32, pp. 523-536, 2004. [18] Benesty, J., Rey, H., Vega, L. R. and Tressens, S., “A Nonparametric VSS NLMS Algorithm”, Signal Process Letters, IEEE, Vol. 13, No. 10, pp. 581-584, 2006. [19] Carini, A. and Malatini, S., “Optimal Variable Step-Size NLMS Algorithms With Auxiliary Noise Power Scheduling for Feedforward Active Noise Control”, IEEE Trans, Speech Audio Process., Vol. 16, No. 8, pp. 1383-1395, 2008. [20] Zhao, S., Man, Z., Khoo, S. and Wu, H. R., “Variable step-size LMS algorithm with a quotient form”, ScienceDriect Signal Processing, Vol. 89, pp. 67-76, 2009. [21] Sun, X. and Chen, D. S., “A New Infinite Impulse Response Filter-Based Adaptive Algorithm For Active Noise Control”, ScienceDriect, Vol. 258, pp. 385-397, 2002. [22] 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: 
主動噪音控制系統在實際應用時,誤差麥克風量取到的干擾會影響適應性濾波器的權重更新,而破壞系統的消音性能。為了處理干擾的影響,現有的方法是藉由串聯一個適應性濾波器作為鑑別器於主動噪音控制系統,來線上鑑別出第一路徑,以便估算出干擾之大小,以減少干擾對系統的影響。不過此方法的控制器與鑑別器之演算法中的步階皆為常數,所以消音性能在收斂速度與穩態誤差之間會受到限制。因此本篇論文提出了可變步階的串聯演算法,利用可變的步階取代控制器演算法中的常數步階來解決這問題。由電腦模擬結果說明應用本文演算法之主動噪音控制系統,可以有效減少干擾的影響並且有效改善系統的消音性能,使達到快速收斂與降低穩態誤差。由實驗可以驗證電腦模擬結果和本文演算法在實際主動噪音控制應用的可行性。

In an active noise control (ANC) system, disturbance picked up by the error microphone will affect weights update of an adaptive filter and destroy ANC performance. To deal with the disturbance, an approach is to cascade an additional adaptive filter to the ANC system. The cascaded adaptive filter is used as an identifier to model the primary path on-line and obtain an estimate of the disturbance such that influence of the disturbance can be reduced. Since constant step sizes are used in the approach, ANC performance must be trade-off between convergence rate and steady-state error. A variable step-size cascading algorithm is thus proposed in this study to overcome this difficulty. Results of computer simulations demonstrate effectiveness of the proposed algorithm in reducing the effect of disturbance such that improved ANC performance in terms of fast convergence rate and steady-state error can be achieved. Experiments verify results of ANC simulation and support the feasibility of the proposed algorithm in real ANC applications.
URI: http://hdl.handle.net/11455/2464
其他識別: U0005-1808201013295800
Appears in Collections:機械工程學系所

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