Journal of Textile Research ›› 2020, Vol. 41 ›› Issue (07): 88-92.doi: 10.13475/j.fzxb.20190502205

• Textile Engineering • Previous Articles     Next Articles

Active noise control for tufted carpet equipment based on filtered least mean square algorithm

CHEN Shaoyong, XU Yang(), SHENG Xiaowei, ZHANG Ziyu   

  1. College of Mechanical Engineering, Donghua University, Shanghai 201620, China
  • Received:2019-05-13 Revised:2020-01-19 Online:2020-07-15 Published:2020-07-23
  • Contact: XU Yang E-mail:xuyang@dhu.edu.cn

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Abstract:

In order to reduce tufted carpet equipment's low frequency noise, this paper introduces the filtered least mean square algorithm (FXLMS) for textile machinery noise control. The active noise control system model was established to complete the sensor-actuator arrangement taking the British COBBLE 1/8-pitch tufted carpet loom as the research object. The dual-microphone offline channel identification method was used to estimate the primary and secondary channel transfer functions. For the secondary acoustic feedback phenomenon caused by the elected feed-forward control system, the parametric array speaker was used to reduce the influence on stability of the noise reduction experiment as secondary acoustic source. The noise reduction simulation and experiment of the tufted carpet loom verified the feasibility and effectiveness of the proposed method. The experimental results show that the active noise control method used in tufted carpet loom has better effect on low-frequency noise control than medium and high frequency noise control, and the noise cancellation at the main frequency point reaches 9.8 dB.

Key words: tufted carpet loom, noise control, filtered least mean square algorithm, low-frequency noise

CLC Number: 

  • TS103.2

Fig.1

Drive mechanism of British COBBLE 1/8-pitch tufted carpet loom"

Fig.2

Workspace of tufted carpet loom"

Fig.3

Map of feed forward active noise control system"

Fig.4

Spectrogram of tufted carpet loom noise signal"

Fig.5

Dual-microphone method for secondary path modeling"

Fig.6

Diagram of adaptive active feed forward control system"

Fig.7

Active noise control flow chart"

Fig.8

Psd map of noise signal before and after simulation when N is 128"

Tab.1

Sound pressure before and after noise reduction at main frequency points"

主要频率点/Hz 声压/Pa
降噪前 降噪后
36.10 0.035 40 0.031 26
124.77 0.043 38 0.014 03
282.30 0.030 56 0.015 49
550.70 0.030 63 0.010 31
810.00 0.003 01 0.003 09

Fig.9

Sound pressure spectrum before active noise reduction"

Fig.10

Sound pressure spectrum after active noise reduction"

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[1] LI Huiqin, ZHANG Nan, WEN Xiaodan, GONG Jixian, ZHAO Xiaoming, WANG Zhishuai. Progress of noise reduction product based on fiber materials [J]. Journal of Textile Research, 2020, 41(03): 175-181.
[2] XU Yang, LI Ang'ang, SHENG Xiaowei, SUN Zhijun. Noise source identification of high-speed motion mechanism of textile equipment based on near-field acoustic holography method [J]. Journal of Textile Research, 2019, 40(04): 129-134.
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