Variable convergence train noise active control algorithm based on feedforward reference

An active control algorithm for train noise based on feed-forward reference with variable convergence was studied. By constructing a variable convergence function based on the feed-forward signal reference, the non-zero offset problem of the system was improved. Then it was applied to the low-freque...

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Bibliographic Details
Published in机车电传动 pp. 25 - 30
Main Authors LI Tao, HE Yuyao, WANG Ning, LI Zhuang, SHEN Zhaoyuan, XIAO Gang
Format Journal Article
LanguageChinese
Published Editorial Department of Electric Drive for Locomotives 01.01.2022
Subjects
active noise control
feed-forward signal reference
low-frequency train noise
simulation
variable convergence coefficient
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ISSN1000-128X

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Summary:An active control algorithm for train noise based on feed-forward reference with variable convergence was studied. By constructing a variable convergence function based on the feed-forward signal reference, the non-zero offset problem of the system was improved. Then it was applied to the low-frequency noise reduction of trains. Simulation results show that the algorithm can improve the balance between convergence speed, tracking speed and steady-state error. And the experimental results show that the algorithm achieves an average noise reduction of 12.0 dB for low-frequency train noise which below 1 000 Hz in the target area. Compared with the fixed-convergence FxLMS, variable-convergence NLMS, and SVSLMS control algorithms, it has the advantage of noise reduction up to about 3.6 dB.
ISSN:1000-128X