Duct active noise control method using microphone array

被引：0
|
作者：
Liu Q.-L. [1 ,2 ]
Liu H.-B. [1 ,2 ]
Qian J.-H. [3 ]
Zhang L.-Y. [1 ,2 ]
Wang W. [1 ,2 ]
Gao G.-E. [2 ]
机构：
[1] School of Control Science and Engineering, Dalian University of Technology, Liaoning, Dalian
[2] Dalian Rail Transit Intelligent Control and Intelligent Operation Technology Innovation Center, Liaoning, Dalian
[3] The 705 Research Institute, China State Shipbuilding Corporation Limited, Yunnan, Kunming
来源：
Kongzhi Lilun Yu Yingyong/Control Theory and Applications | 2024年 / 41卷 / 07期
关键词：
acoustic feedback; active noise control; duct system; FxLMS; microphone array;
D O I：
10.7641/CTA.2024.30536
中图分类号：
学科分类号：
摘要：
During the operation of air conditioning ventilation ducts, the low-frequency noise generated internally is difficult to be eliminated through passive noise reduction methods such as wrapping silencing materials. When deploying active noise control, acoustic feedback may occur, affecting noise reduction performance and even causing control system divergence. In response to this acoustic feedback phenomenon, based on the analysis of the causes, this paper takes the microphone array as the feedforward, adds the linear constrained minimum variance beamforming algorithm of Duvall Frost structure with pre-tuning, and proposes an active noise control method using the Microphone array in the duct, which can pick up the noise signal from the upstream of the duct in a single direction to avoid the impact of acoustic feedback. The filter x minimum mean square error (FxLMS) algorithm is used as the adaptive control algorithm, and active noise control experiments are carried out in the duct environment for four typical low-frequency noises. The results show that compared to the situation without using a microphone array, the design in this paper can achieve good noise reduction performance and achieve good results in terms of stability. © 2024 South China University of Technology. All rights reserved.
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页码：1286 / 1295
页数：9
相关论文
共 28 条
  • [1] SHARMA M K, VIG R., Server noise: Health hazard and its reduction using active noise control, Recent Advances in Engineering and Computational Sciences (RAECS), pp. 1-5, (2014)
  • [2] PAUL L., Process of silencing sound oscillations
  • [3] HANSEN C H., Active Control of Noise and Vibration, (2012)
  • [4] WIDROW B, MANTEY P E, GRIFFITHS L J, Et al., Adaptive antenna systems, Proceedings of the IEEE, 55, 12, pp. 2143-2159, (1967)
  • [5] KUO S M, MORGAN D R., Active Noise Control Systems: Algorithms and DSP Implementations, (1995)
  • [6] MORGAN D R., An analysis of multiple correlation cancellation loops with a filter in the auxiliary path, IEEE Transactions on Acoustics Speech and Signal Processing, 28, pp. 454-467, (1980)
  • [7] WIDROW B, GLOVER J R, MCCOOL J M, Et al., Adaptive noise cancelling: Principles and applications, Proceedings of the IEEE, 63, 12, pp. 1692-1716, (1975)
  • [8] HO C Y, KUO S M, CHANG C Y., Individual control of narrowband noise with disturbance, IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), pp. 62-65, (2014)
  • [9] CHEN J, WU M, GONG C, Et al., Steady-state performance analysis of the distributed FxLMS algorithm for narrowband ANC system with frequency mismatch, IEEE Signal Processing Letters, 29, pp. 1167-1171, (2022)
  • [10] ZHANG H, PANDEY A, WANG D L., Low-latency active noise control using attentive recurrent network, IEEE/ACM Transactions on Audio, Speech, and Language Processing, 31, pp. 1114-1123, (2023)
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