Multi-channel adaptive feedforward control of noise in an acoustic duct

The single-reference/multiple-output active noise control (ANC) of the accurate physical model of an acoustic duct system, developed earlier by the authors [1] is investigated. An adaptive feedforward algorithm is developed that minimizes a generic cost function consisting of the p-norm of the error vector. A computer model of a multi-channel ANC system, with the tonal and sweep sine input signals, is established, and the results for different single-input/single-output (SISO) configurations (error microphone and secondary source locations) of the ANC system are compared. The dynamic response of the single-reference/multiple-output ANC systems, using the Minimax and MEFXLMS algorithms, is studied and the effect of the acoustical feedback neutralization in the multi-channel ANC system is examined. Simulation results demonstrate that the multi-channel adaptive feedforward ANC system with the Minimax algorithm has a superior performance to that of the same system with the MEFXLMS algorithm. However, the total noise reduction of the Minimax algorithm, compared with that of the MEFXLMS, is much dependent on the frequency content of the input signal [DOI: 10.1115/l.1636772]