An improved stability compensation for feedforward active noise control systems with acoustic feedback

The feedforward active noise control (ANC) methods have been reported as a suitable option to achieve the attenuation of broadband noise. However, many feedforward control systems suffer from the acoustic feedback problem, which affects the reliability of the reference signal measurement and can potentially destabilize the system. In this paper, a Youla parameterized feedforward control strategy is proposed, which guarantees the stability requirement of the control loop in the presence of the acoustic feedback phenomenon. Moreover, it is known that the attenuation of broadband noise requires a large number of adaptive adjustable parameters in the finite impulse response (FIR) type feedforward ANC systems, which directly increases the computational burden. We propose an infinite impulse response (IIR) type adaptive algorithm for the parameterized control system reducing the adjustable parameters. Lastly, a duct noise attenuation experimental system with acoustic feedback is used to verify the proposed improved adaptive feedforward ANC algorithm.