ADAPTIVE CONTROL FOR SOUND AND VIBRATION ATTENUATION: A COMPARATIVE STUDY

Adaptive control is often applied to a disturbed system whose parameters may be uncertain or even time varying. In this paper, two standard adaptive feedback controllers, featuring both system identification and control in real time, are compared for active sound and vibration attenuation. The two adaptive feedback controllers to be compared are the (i) self-tuning regulator and (ii) plant disturbance canceler. In the plant disturbance canceler, two methods for the controller tuning and three dithering schemes for plant model identification are considered. A numerical simulation for active vibration isolation and experimental investigations for active sound and vibration attenuation of the two adaptive feedback controllers are carried out. Both numerical and experimental results show that the self-tuning regulator outperforms the plant disturbance canceler in terms of much more amounts of sound and vibration attenuation and much faster convergence rate.