A REGRESSION APPROACH FOR SIMULATING FEEDFORWARD ACTIVE NOISE-CONTROL

被引:2
作者
RUCKMAN, CE
FULLER, CR
机构
[1] VIRGINIA POLYTECH INST & STATE UNIV,VIBRAT LAB,BLACKSBURG,VA 24061
[2] VIRGINIA POLYTECH INST & STATE UNIV,ACOUST LAB,BLACKSBURG,VA 24061
关键词
D O I
10.1121/1.411857
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Regression analysis is used to examine feedforward active noise control from a statistical point of view. Since numerical techniques for simulating feedforward active noise control in the frequency domain are mathematically similar to linear least-squares regression, two regression-based numerical methods can be applied to control problems. The first uses regression diagnostics such as the F-test, the t-test, and confidence intervals to model the effects of error sensor measurement noise. The second uses collinearity diagnostics to address a form of numerical ill conditioning that can corrupt the results. The regression diagnostics allow realistic modeling of random measurement error; the collinearity diagnostics help avoid numerical difficulties that might otherwise go undetected. Numerical results are given for a structural-acoustic control problem involving a fluid-loaded cylindrical shell. © 1995, Acoustical Society of America. All rights reserved.
引用
收藏
页码:2906 / 2918
页数:13
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