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

页码：135 / 139

页数：5

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