Optimization of control source locations in an active noise control application of axial cooling fans using genetic algorithms

2007 ◽  
Vol 121 (5) ◽  
pp. 3179-3179
Author(s):  
Connor R. Duke ◽  
Scott D. Sommerfeldt ◽  
Kent L. Gee
2017 ◽  
Vol 95 ◽  
pp. 14006
Author(s):  
Rahimie Mustafa ◽  
Anuar Mikdad Muad ◽  
Shahrizal Jelani ◽  
Ahmad Nur Alifa Abdul Razap

2010 ◽  
Vol 127 (3) ◽  
pp. 1737-1737
Author(s):  
Ryan Rust ◽  
Jonathan Blotter ◽  
Scott Sommerfeldt ◽  
Kent Gee

2006 ◽  
Vol 120 (5) ◽  
pp. 3198-3198
Author(s):  
Benjamin M. Shafer ◽  
Kent L. Gee ◽  
Scott D. Sommerfeldt ◽  
Cole V. Duke

2009 ◽  
Vol 57 (3) ◽  
pp. 221 ◽  
Author(s):  
Connor R. Duke ◽  
Scott D. Sommerfeldt ◽  
Kent L. Gee ◽  
Cole V. Duke

Author(s):  
Yesim Sabah ◽  
Masaaki Okuma ◽  
Minoru Okubo

The purpose of this paper is to investigate a modified adaptive step size algorithm and implement to active noise control (ANC) system. It is well-known that there is a trade-off between steady state error and convergence rate depending on the step size. This study shows that the new algorithm can track changes in dynamic characteristics of ANC system as well as produce a low steady state error. Simulation results are presented to compare the performance of the new algorithm to basic LMS algorithm. Although there have been several studies for adaptive step size algorithm, no quantitative analysis has yet been reported for real time active noise control application as far as the authors know. Experimental results are presented for a duct system. The results indicate that the new algorithm provides better performance than the fixed step size FXLMS algorithm.


2004 ◽  
Vol 115 (5) ◽  
pp. 2498-2498
Author(s):  
Brian B. Monson ◽  
Scott D. Sommerfeldt ◽  
Connor Duke

Sign in / Sign up

Export Citation Format

Share Document