Neural Based Active Noise Controller

A neural based controller with adaptive algorithm is presented in this paper to cancel the nonlinear broadband noise of an active noise control (ANC) system. The ways to avoid the premature saturation of backpropagation algorithm and design the optimal learning rate are also included in the paper to improve the noise reduction performance. The proposed neural filter can be easily implemented and also versatile to the other applications. Simulation results of canceling narrowband and nonlinear broadband noise show that the proposed method can effectively cancel the noise in an ANC system.