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.
陈兴, 王青云. 一种基于窄带有源降噪的改进变步长变压器有源降噪算法[J]. 电气技术, 2019, 20(11): 39-45.
Chen Xing, Wang Qingyun. An improved algorithm for transformer noise reduction with variable step size based on narrow-band active noise control. Electrical Engineering, 2019, 20(11): 39-45.
2019, Vol. 20 
