Application of system identification in a practical active noise control system

被引：0
|
作者：
Yuan, Yu [1 ]
Sun, Zhaoyang [2 ]
Zhang, Hongwei [3 ]
机构：
[1] Xihua Univ, Sch Mech Engn, Chengdu 610039, Sichuan, Peoples R China
[2] Southwest Jiaotong Univ, Sch Elect Engn, Chengdu 611756, Sichuan, Peoples R China
[3] Harbin Inst Technol, Sch Mech Engn & Automat, Shenzhen 518055, Guangdong, Peoples R China
来源：
CONTROL THEORY AND TECHNOLOGY | 2024年 / 22卷 / 02期
关键词：
Active noise control; Multi-input-multi-output system; Normalized minimax algorithm; System identification; SIGNAL;
D O I：
10.1007/s11768-023-00175-6
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
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.
引用
收藏
页码：282 / 291
页数：10
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