Comparison of FxLMS Algorithm and Transformer Algorithm for Automobile Engine Noise Control
ID:89 View Protection:ATTENDEE Updated Time:2022-09-15 13:09:45 Hits:456 Oral Presentation

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Abstract
The engine noise of vehicles is dominated by harmonic components, and its fundamental frequency is related to the engine speed directly. In this paper, the performance of the filtered-x least mean square (FxLMS) algorithm and a transformer algorithm suitable for harmonic noise control is compared. The noise reduction and convergence speed of these two algorithms for one tonal component with a fixed frequency or a varying frequency are analysed. The simulation results show that the FxLMS algorithm tracks the frequency change well. Therefore, the FxLMS algorithm is adopted in an active headrest system with the Direct Digital Synthesized (DDS) reference signal from the engine speed. Experimental results show that the selected 2nd order harmonic component of the engine noise can be reduced by over 20 dB with a proper step size when the engine speed increase from 700 rpm to 5600 rpm within 3 seconds.
Keywords
Automobile,Engine Noise,FxLMS Algorithm,Direct Digital Synthesize
Speaker
Pengju Zhang
Nanjing University

Submission Author
Pengju Zhang Nanjing University
Xu Zhong Shanghai Huawei Technologies Co., Ltd.
Haishan Zou Nanjing University
Jiancheng Tao Nanjing University
Sheng Wu Shanghai Huawei Teconologies Co., Ltd.
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Important Date
  • Conference Date

    Nov 01

    2022

    to

    Nov 03

    2022

  • Oct 30 2022

    Draft paper submission deadline

  • Nov 09 2022

    Registration deadline

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