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| Application of system identification in a practical active noise control system |
| YuYuan1,ZhaoyangSun2,HongweiZhang3 |
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| (1 School of Mechanical Engineering, Xihua University, Chengdu 610039, Sichuan, China;2 School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, Sichuan, China;3 School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, Guangdong, China) |
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| 摘要: |
| 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. |
| 关键词: Active noise control · Multi-input–multi-output system · Normalized minimax algorithm · System identification |
| DOI：https://doi.org/10.1007/s11768-023-00175-6 |
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| 基金项目: |
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| Application of system identification in a practical active noise control system |
| Yu Yuan1,Zhaoyang Sun2,Hongwei Zhang3 |
| (1 School of Mechanical Engineering, Xihua University, Chengdu 610039, Sichuan, China;2 School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, Sichuan, China;3 School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, Guangdong, China) |
| 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. |
| Key words: Active noise control · Multi-input–multi-output system · Normalized minimax algorithm · System identification |
