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標題: 受制於干擾之窄頻主動式噪音控制系統
Narrowband Active Noise Control Systems Subject to Disturbance
作者: 林瑋宸
Lin, Wen-chen
關鍵字: active noise control (ANC);主動噪音控制系統;disturbance;cascade adaptive filters;干擾;串聯適應性濾波器
出版社: 機械工程學系所
引用: [1] Gan, W. S. and Kuo, S. M., “An integrated audio and active noise control headsets”, IEEE Trans, Consumer Electron., Vol. 48, No. 2, pp. 242-247, 2002. [2] Lueg, P., “Process of Silencing Sound Oscillations”, U.S. Patent, No.2043416, 1936. [3] Widrow, B. and Hoff, M. E., “Adaptive Switching Circuits”, IRE WESCON Conv. Rec, part 4, pp. 96-104, 1960. [4] Burgess, J. C., “Active Adaptive Sound Control in a Duct: A Computer Simulation”, J. Acoust. Soc. Am., Vol. 70, pp. 715-726, 1981. [5] Kuo, S. M. and Morgan, D. R., Active Noise Control Systems: Algorithms and DSP Implementations, 605 Third Avenue, New York, 10158-0012, 1996. [6] Elliott, S. J., Signal Processing for Active Noise Control, London, U.K.: Academic, 2001. [7] Liao, Ching-Wen and Lin, Jong-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. [8] 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. [9] 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. [10] 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. [11] 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。

The disturbance picked up by error sensors can significantly degrade the performance of active noise control (ANC) systems in practical applications. This study proposes a new algorithm referred to as FxLMS/CED algorithm to overcome this problem resulted from the disturbance. To use the FxLMS/CED algorithm, transfer functions of primary and secondary paths must be estimated off-line. However, off-line modeling requires a long period of time. To reduce the time for off-line modeling of primary path, an adaptive FIR filter which utilizes the correlation between the reference signal and the primary noise signal to model the primary path on-line is cascaded with an active noise controller in this study. Consequently, the Disturbance can be estimated and compensated to the error signal. As a result, the active noise controller can use the compensated residual error to update the weights and generate suitable control signal to drive a loudspeaker that produces acoustic waves to cancel the primary wave. Results of computer simulations and experiments show that the proposed approach can effectively improve the convergence property of ANC controller and result in good ANC performance under the influence of disturbance.
其他識別: U0005-2307200817205000
Appears in Collections:機械工程學系所

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