A Youla Parameterized Adaptive FIR Feedforward Noise Control Algorithm with Acoustic Coupling

The adaptive feedforward active noise control strategy can effectively attenuate the broad-band noise. However, many feedforward active noise control systems have the internal acoustical feedback coupling between the secondary noise source and the measurement of the image of the reference noise, which may lead to instability of the system. In this paper, a central controller is first designed to stabilize the internal acoustical feedback loop. Then the central controller will be augmented into a Youla(Q) parameterized adaptive FIR regulator to attenuate the noise. Finally, the simulation results show that the proposed adaptive feedforward active noise control system can effectively attenuate the unknown broad-band noise in the presence of acoustic coupling.