An algorithm of energy ratio for the active noise control system
XIAO Mengdi;CHEN Weisong;QIAN Longyan;WU Hui;College of Physics and Electronic Information, Anhui Normal University;
In the feed-forward active noise control system, the modeling signal and the control signal influence each other. The signal will deteriorate the noise reduction performance of the system. In order to reduce the influence of modeling signal, an online modeling active noise control algorithm for secondary path based on energy ratio regulation is proposed. The step size function is constructed by using the error energy ratio of the control process and the modeling process. The step sizes of control and modeling are adjusted respectively to reduce the interaction between them. In the process of secondary path modeling, the segmentation control method is adopted for the modeling step value. The modeling signal is adjusted by changing the step size of the model, so as to improve the noise reduction performance of the system. The simulation results show that for the active noise control of low frequency noise signals, the proposed algorithm can achieve faster modeling convergence speed and higher noise reduction than the existing algorithms.