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Application of system identification in a practical active noise control system

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Abstract

Noise pollution has become increasingly severe around the world due to fast urbanization. How to soundproof windows from outside noise is of significant interest for both academia and industry. This paper reports an experimental implementation of normalized minmax active noise control (ANC) algorithm on an open window system, where identifying the model of acoustic sound paths plays a central role. By doing this, traffic noise is attenuated by the ANC system, leading to a relatively quiet indoor environment, while the natural lighting and ventilation functions of a window are remained. Our experiments show that an average of 19 dB(A) noise reduction is achieved.

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Authors and Affiliations

  1. School of Mechanical Engineering, Xihua University, Chengdu, 610039, Sichuan, China

    Yu Yuan

  2. School of Electrical Engineering, Southwest Jiaotong University, Chengdu, 611756, Sichuan, China

    Zhaoyang Sun

  3. School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen, 518055, Guangdong, China

    Hongwei Zhang

Authors
  1. Yu Yuan
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  2. Zhaoyang Sun
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  3. Hongwei Zhang
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Correspondence to Hongwei Zhang.

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Yuan, Y., Sun, Z. & Zhang, H. Application of system identification in a practical active noise control system. Control Theory Technol. 22, 282–291 (2024). https://doi.org/10.1007/s11768-023-00175-6

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  • DOI: https://doi.org/10.1007/s11768-023-00175-6

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