Active noise attenuation using adaptive Model Predictive Control

被引：0
|
作者：
Yang, ZY [1 ]
Hicks, DL [1 ]
机构：
[1] Aalborg Univ, Dept Comp Sci & Engn, DK-6700 Esbjerg, Denmark
来源：
ISPACS 2005: PROCEEDINGS OF THE 2005 INTERNATIONAL SYMPOSIUM ON INTELLIGENT SIGNAL PROCESSING AND COMMUNICATION SYSTEMS | 2005年
关键词：
Active Noise Control; Model Predictive Control; adaptive control; least mean square;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：241 / 244
页数：4
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