Active Noise Control for Clay Model Side Window Wind Noise Based on LSTM
When driving on highways,it's necessary to reduce wind noise in the side window areas of a ve-hicle.Low-frequency noise control of automobile wind noise can be achieved through Active Noise Control(ANC).Therefore,an Active Wind Noise Cancellation(AWNC)method for automobile wind noise is proposed in this paper.The suitable input signal of the side window area is selected as the reference signal,which shows good coherence with the target noise in the 100-500 Hz frequency range.Taking a full-scale clay model of the vehicle in a wind tun-nel as the research object,the reference signals for wind noise are optimized through the Long Short-Term Memory(LSTM)method.The optimized reference signals are then processed using the FxLMS algorithm for AWNC simula-tion and validated through hardware dSPACE testing.The results show that the optimized reference signals not only reduce the number of sensors needed,thus saving cost,but also decrease the peak frequency band of wind noise by 5-15 dB.
reference signal optimizationLSTMactive wind noise controlclay modelwind tunnel experiments
万方数据
维普
