Abstract detail

193 / 2021-03-31 20:42:34
Comparison of FxLMS Algorithm and Transformer Algorithm for Automobile Engine Noise Control
Automobile,Engine Noise,FxLMS Algorithm,Direct Digital Synthesize
Special Sessions > Applications of active control
Draft Paper Accepted
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.
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.

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Important Dates

Abstract Submission Deadline:

 31st March 2021 15th April 2021

Extended Deadline: 1st Aug. 2022

 

Abstract Acceptance:

30th April  2021 Rollover

 

Full Paper Submission Deadline:

30th June 2021  14th July 2021

Extended Deadline: 15th Aug. 2022 

 

Notification of Acceptance:

15th August 2021 1st Sept. 2021

1st Sept. 2022

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