Title :
Optimal arrangement of error sensors in AANC system based on the genetic algorithm
Author :
Haiying, Li ; Jie, Chen ; Kean, Chen ; Yushan, Tan
Author_Institution :
Lab. for Manuf. Syst. Eng., Xi´´an Jiaotong Univ., China
Abstract :
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
Keywords :
active noise control; adaptive control; genetic algorithms; active noise control; adaptive control; error sensor placement; genetic algorithm; optimization; Active noise reduction; Adaptive control; Computer errors; Error correction; Genetic algorithms; Noise cancellation; Optimization methods; Programmable control; Search methods; Sensor systems;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.860032
