基于遗传算法的指向性声源自适应有源消声系统优化

详细讨论了自由声场自适应有源噪声控制（ＡＡＮＣ）中，初级源为无限大刚性障板上的圆面活塞辐射器，采用一个和二个点源做次级声源时，使ＡＡＮＣ系统获得最大降噪效果的次级声源和误差传感器（以下统称为执行元件）的布放问题，并利用遗传算法（ＧＡ）确定次级源和远场误差传感器的最优位置。通过理论分析和计算机仿真结果的比较，证明了采用遗传算法可以准确地得到传统的梯度搜索优化算法难以得到的位置优化解。

Optimization of AANC System with Directional Sources by Genetic Algorithm

In this paper, the optimal arrangement of secondary sources and error sensors of the Adaptive Active Noise Control (AANC) system in free sound field is investigated. A circular piston source on an infinite rigid baffle is considered as an original source. One point secondary source with one error sensor and two point secondary sources with two error sensors are used respectively. The Genetic Algorithm (GA) is used to optimize locations of secondary sources and far field error sensors. The computer simulations show that GA can exactly give the optimal position solutions which are difficult to be obtained by using traditional gradient searching methods.