Abstract：Changes of control target area and errors sensor position or other factors may lead to the real-time change of the secondary path in practical engineering. Accurate identification of secondary path transfer function can effectively improve the efficiency of active noise control. This paper proposed a new online secondary path modeling method based on Delay Coefficient Technique. The proposed algorithm derived adjustment rules of the convergence step sizes of active control process and secondary path modeling. Comparing with the traditional algorithms in convergence performance and the computational complexity, the improvement advantages are gotten. The proposed algorithm also introduced an auxiliary noise power scheduling for achieving the adjustment of the additional random noise power to ensure system stability and eliminate its influence on the residual noise as soon as probability. Computer simulations and experiments show that the proposed method gives better performance in convergence and noise reduction than the existing methods.
2014, Vol. 33 
