A local active noise control system based on a nonlinear sensing technique for yacht applications

Active noise control (ANC) is an important subject that plays a central role in many practical problems.In essence, the ANC technique is based on the principle that a noise can be cancelled by another noise with the same amplitude but an opposite phase.Compared with the passive noise control technique, the ANC method is efficient to suppress noise with lower frequency.As an adaptive controller, the filtered-x least mean square (FxLMS) algorithm has gained substantial popularity owing to its simplicity.Unfortunately, in the physical world, many ANC systems exhibit certain degrees of nonlinearity in the primary or secondary path.In such situations, nonlinear ANC (NANC) algorithm is necessary for further implementation.A novel nonlinear filter, which incorporates the concept of exponential sinusoidal models into nonlinear filters based on functional link networks (FLNs) has been applied in this paper.The proposed filter is designed to provide improved convergence characteristics over traditional FLN filters.The conventional trigonometric FLN (TFLN) may be considered as a special case of the proposed adaptive exponential FLN (AEFLN).An adaptive exponential least mean square (AELMS) algorithm has been derived and the same has been successfully applied for identification of a couple of nonlinear plants.This paper investigates the application of active noise control to the attenuation of the noise produced by two asynchronous generators in a luxury yacht, with the specific aim of creating a quiet region in a twin cabin around the sleeping area.