By Topic

Optimal arrangement of error sensors in AANC system based on the genetic algorithm

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Li Haiying ; Lab. for Manuf. Syst. Eng., Xi''an Jiaotong Univ., China ; Chen Jie ; Chen Kean ; Tan Yushan

During the course of adaptive active noise control (AANC), the final noise cancelling effect of the AANC is in close relationship with the arrangements of error sensors. In this paper, the problems of optimizing positions of error sensors were investigated by using the genetic algorithm (GA), which are difficult to be solved by using the conventional gradient search method. The computer simulations show that the optimal positions found by the GA coincide with the theoretically calculated results

Published in:

Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on  (Volume:1 )

Date of Conference:

2000