Adaptive evolutionary active noise control system without secondary path measurement

This paper proposes an adaptive evolutionary system for active noise control (ANC). The conventional ANC system often utilized filtered-X LMS (FXLMS) algorithm to update the coefficients of the linear finite impulse response (FIR) filter for its simplicity; while the FXLMS algorithm may converge to local minima. This paper uses evolutionary idea, substituting FXLMS algorithm, to prevent the local minima problem. In addition, it does not require identifying the secondary path for the ANC by using the proposed method; therefore, there is no plant information is necessary for designing an ANC system. Computer simulations results show that the proposed method can control the nonlinear noise under several situations very well, without identifying secondary path effectively.