一种封闭空间自适应有源噪声控制系统优化方法

An Optimal Method for AANC System within the Enclosure

将遗传算法 (GA)引入封闭空间自适应有源噪声控制 (AANC)系统优化设计 ,以解决长期以来缺乏有效的确定封闭空间次级声源和误差传感器最优位置方法的问题。以小阻尼矩形空间为例 ,进行了计算机仿真。结果证明 :此方法对封闭空间 AANC系统优化是有效的。

For the lack of an effective method to determine the optimal arrangements of secondary sources and error sensors in the adaptive active noise control (AANC) system within the enclosure, Genetic Algorithm (GA) is firstly introduced into this problem. Taking a lightly damped rectangular enclosure as an example, computer simulations have been done and the results obtained by GA coincide well with the existing rules of secondary source and error sensor arrangements within the enclosed space.