應用小波與經驗模式分解於主動式噪音控制

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應用小波與經驗模式分解於主動式噪音控制

Application of Wavelet and Empirical Mode Decomposition to Active Noise Control

陳垣圻 , Masters　　Advisor：蕭俊祥　　

繁體中文

主動噪音控制； FXLMS演算法；小波；希爾伯特黃轉換；經驗模式分解；迴授式主動減噪； Active Noise Control ； FXLMS Algorithm ； Wavelet ； Hilbert-Huang Transform ； Empirical Mode Decomposition ； Feedback Active Noise Control

Abstract │ Reference (16) │ Times Cited (1) │ Altmetrics

Abstract 〈TOP〉

Parallel Abstract 〈TOP〉

In this paper, a feedback active duct noise control with wavelet and empirical mode decomposition method is proposed for effectively reducing the duct noise when the error signals are contaminated by white noise or periodic noise. In ANC system, the secondary path system dynamics was identified by an FIR or IIR filter and the coefficients of FIR controller were tuned by the FXLMS algorithm. In this paper, the error signals are contaminated by white noise or periodic noise. Then the contaminated error signal was denoised by several digital signal processing techniques such as using low pass filter, wavelet, and empirical mode decomposition. After that, the signal processed was then input to the FIR controller for producing the anti-noise. By computer simulation results, we found that when the error signals are contaminated by white noise or periodic noise, the performance of an active noise control system with some digital signal processing techniques is more excellent than the one without. In addition, a TI TMS320C6713 DSP card is employed for executing the control algorithms in a duct noise attenuation experiment when the error signal is contaminated by periodic noise. It is verified that the controller with wavelet filtering has much better duct noise reduction performance than the one without, and the one using low pass filter.

Reference ( 16 ) 〈TOP〉

[1] S. M. Kuo and D. R. Morgan, Active Noise Control Systems—Algorithms and DSP Implementations, New York: Wiley, 1996.
連結：
[2] 黃玠理、蕭俊祥，以TI TMS320C6713 DSP實現卡爾曼濾波器於主動式管路減噪，碩士論文，國立臺北科技大學，臺北，2008.
連結：
[3] P. Babu, A. Krishnan and V. Saravanan, “A New Variable Threshold Based Active Noise Control Systems for Improving Performance”, International Conference on Advances in Computer Engineering, Bangalore, India, 2010, pp.100-104.
連結：
[4] Norden E. Huang and Samuel S. Shen, Hilbert-Huang Transform and Its Applications, Singapore: World Scientific, 2005, pp.1-24.
連結：
[5] Q. Shen and A. Spanias, "Time and frequency domain X-block LMS algorithms for single channel active noise control," Second International Congress on Recent Developments in Air- and Structure-Borne Sound and Vibration, Auburn, Alabama, 1992, pp. 353–360.
連結：

Times Cited (1) 〈TOP〉

巫國煒(2012)。結合小波函數與FXLMS演算法於主動式噪音控制。臺北科技大學機電整合研究所學位論文。2012。1-78。

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