摘要
对车内噪声主动控制(ANC)系统的算法进行了推导,并采用FxLMS算法作为系统的控制算法进行仿真。介绍了次级通道辨识的两种方法:离线辨识方法和在线辨识方法,分析了次级通道辨识方法的优缺点及适应场合,最终选取附加随机噪声法对次级通道进行离线辨识。辨识结果表明:该方法能够达到预想的辨识精度。通过Matlab/Simulink对ANC系统进行建模仿真。仿真结果表明:该系统能使车内噪声降低15 d B以上。
The algorithm of active noise control（ ANC） system was deduced,and FxLMS algorithm was adopted as the control algorithm of the system to simulate. The two methods of secondary path identification were introduced,which are off-line identification method and on-line identification method. The advantages,disadvantages and adapted occasion of secondary path identification methods were analyzed. The additional random noise method which is noticed was selected to identify the secondary path,and the method can achieve the desired identification accuracy from the identification results. The ANC system was modeled and simulated by Matlab / Simulink. The simulation results show that the system can reduce the noise by above 15 d B commendably in the car.
出处
《重庆理工大学学报（自然科学）》
CAS
2016年第3期22-27,共6页
Journal of Chongqing University of Technology：Natural Science
基金
江苏省自然科学基金资助项目(06KJD510038)
