An Improved Hybrid Active Noise Control System

DOI

10.2991/ncce-18.2018.43How to use a DOI?

Keywords

Active noise control, adaptive algorithms, hybrid control system.

Abstract

In order to achieve a good noise reduction effect in a closed space, an active noise control system was built. Hybrid control systems have faster convergence and better stability than feedforward control systems and feedback control systems. We will study feedforward, feedback and hybrid control systems. This topic has been studied from the following aspects: the establishment of an active noise feedforward and feedback control model: the reference signal acquired by the reference microphone is passed through an adaptive filter to The minimum mean square error is the cost function combined with the noise residual obtained by the error microphone, which produces a secondary signal whose amplitude is close to the original noise and whose phases are opposite. It is superimposed with the original signal after being released by the secondary loudspeaker to achieve the effect of noise elimination. A hybrid control model is established to combine feedforward and feedback control systems to compare the noise reduction effects of different systems under different noise conditions. For hybrid control systems, improvements are made to adaptive algorithms or hybrid control structures to achieve better Noise reduction effect and system stability. Enclosed space noise cancellation: Based on the measurement of the sound pressure distribution of the noise in a closed space, a speaker is used to perform noise reduction on a specific area of

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xing Wu
AU  - Jiaming Liu
AU  - Binwen Fan
PY  - 2018/05
DA  - 2018/05
TI  - An Improved Hybrid Active Noise Control System
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 275
EP  - 280
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.43
DO  - 10.2991/ncce-18.2018.43
ID  - Wu2018/05
ER  -