Active noise cancellation with a fuzzy adaptive filtered-X algorithm

Abstract

The authors present a fuzzy adaptive filtered-X algorithm for active noise cancellation (ANC) in ducts, using fuzzy rules to construct an anti-noise filter to cancel out the undesired noise. Complex acoustic plant models, such as those used in conventional ANC systems, can be disregarded in the proposed fuzzy technique. As a new method for ANC, the proposed system tunes the free parameters automatically and changes the IF-THEN rules adaptively to minimise the residual noise as new information becomes available. Hence, the proposed algorithm can be easily constructed at the beginning, and the complexity of building an ANC system can be reduced. Direct numerical simulations demonstrate the effectiveness of the proposed design