DocumentCode
3273278
Title
Active noise attenuation using adaptive model predictive control
Author
Yang, Zhenyu ; Hicks, David L.
Author_Institution
Dept. of Comput. Sci. & Eng., Aalborg Univ. Esbjerg, Denmark
fYear
2005
fDate
13-16 Dec. 2005
Firstpage
241
Lastpage
244
Abstract
The model predictive control (MPC) approach based on an adaptive linear model is explored for design of active noise control (ANC) of a one-dimensional acoustic duct system. The adaptive linear model is obtained through the least mean square method and then used as the prediction model in the MPC algorithm. One specific MPC algorithm called dynamic matrix control is designed and implemented for the ANC purpose. The numerical simulation showed the efficiency of the proposed method in dealing with possible changing noise environment and system nonlinearity as well, e.g., the time delay due to the acoustic propagation.
Keywords
active noise control; control system synthesis; least mean squares methods; model reference adaptive control systems; predictive control; active noise attenuation; active noise control; adaptive model predictive control; dynamic matrix control; least mean square method; one-dimensional acoustic duct system; Acoustic noise; Active noise reduction; Adaptive control; Adaptive systems; Attenuation; Ducts; Least mean squares methods; Predictive control; Predictive models; Programmable control; Active noise control; adaptive control; least mean square; model predictive control;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing and Communication Systems, 2005. ISPACS 2005. Proceedings of 2005 International Symposium on
Print_ISBN
0-7803-9266-3
Type
conf
DOI
10.1109/ISPACS.2005.1595391
Filename
1595391
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