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
Link To Document :
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