Optimal placement of loudspeakers and microphones in an enclosure using genetic algorithm

被引：0
|
作者：
Montazeri, A [1 ]
Poshtan, J [1 ]
Kahaei, MH [1 ]
机构：
[1] Iran Univ Sci & Technol, Fac Elect Engn, Tehran, Iran
来源：
CCA 2003: PROCEEDINGS OF 2003 IEEE CONFERENCE ON CONTROL APPLICATIONS, VOLS 1 AND 2 | 2003年
关键词：
genetic algorithm; ANC; modal analysis; optimal sensor placement;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper genetic algorithm has been used for optimal placement of loudspeakers and microphones in an experimental enclosure for. active noise control system. A control system with two secondary loudspeakers and four error microphones is used to reduce the potential energy generated by primary source in a frequency range of 50Hz to 300Hz. By choosing the average of potential energy in this frequency range as a performance index, genetic algorithm is used to find the global minimum of this function. This performance index is a function of the locations of microphones and loudspeakers, hence a configuration of them corresponds to a value for this performance index. In this genetic algorithm a multivariable binary coding scheme along with a random initial population are used. Computation of the potential energy, and also the acoustical pressure pattern in a specified level shows that the locations obtained by genetic algorithm are very effective in the results.
引用
收藏
页码：135 / 139
页数：5
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