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| An improved algorithm for transformer noise reduction with variable step size based on narrow-band active noise control |
| Chen Xing, Wang Qingyun |
| School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167 |
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Abstract In order to improve the convergence speed of transformer active noise reduction algorithm and ensure the steady-state noise reduction of the algorithm, an improved transformer active noise reduction algorithm based on narrow-band active noise control is proposed in this paper. The algorithm is based on multi-frequency notch filter technology, classical narrowband active noise reduction technology with parallel reference input, and combined with waveform synthesis method. The reference signal is synthesized from the system interior without reference microphone. Furthermore, the estimation of each frequency signal in residual error signal is introduced, and the variable step size strategy based on sigmoid function is combined to improve the convergence speed of active noise reduction algorithm for transformer while maintaining low steady-state error. An experimental platform based on DSP is built, and the noise reduction experiment under the simulated transformer noise environment is carried out with the transformer noise signal collected in the field. The overall noise reduction effect of 6.4dB is achieved at the error microphone.
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Received: 18 May 2019
Published: 19 November 2019
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| Cite this article: |
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Chen Xing,Wang Qingyun. An improved algorithm for transformer noise reduction with variable step size based on narrow-band active noise control[J]. Electrical Engineering, 2019, 20(11): 39-45.
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http://dqjs.cesmedia.cn/EN/Y2019/V20/I11/39
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2019, Vol. 20 
