Robust adaptive algorithms for active noise and vibration control

Abstract

Most active noise and/or vibration control devices utilize some adaptive filters to estimate the transfer function (of the primary channel) from the noise source to a transducer at which point cancellation is to occur. However, another transfer function (of the auxiliary channel) from the actuator (including actuator characteristics) to the transducer is generally non-unity but has been often ignored. This paper describes new adaptive algorithms which simultaneously estimate and track the two transfer functions on-line. No random noise generator is required. Since both transfer functions are estimated and counted for, the resulting adaptive algorithms are much more robust than the existing ones in that moving the transducer and/or the actuator around does not affect the performance much. Real-time implementation results compare very favorably for one of our new algorithms in the sense of the robustness.