Abstract
In recent years, traffic noise gives rise to public discussion with the development of transportfacilities. An exhaust noise of engine which is one of the traffic noise is classified intoperiodic one. The most power of a periodic noise to be controlled is concentrated oncertain harmonic components, so that it is effective to control only these harmonic components.When active noise control (ANC) systems are actually implemented, they need amodel of characteristics of secondary path. The difference between the actual characteristicsof secondary path and its model is called modeling error. It is known that a degree ofthe modeling error affects the performance of ANC system directly. In this paper, a newadaptive algorithm to control periodic noise is proposed. The proposed algorithm is robustagainst an observation noise and its computational load is smaller than that of conventionaladaptive algorithm. Also its extended algorithm which has on-line estimate function of adelay component of secondary path is proposed. The performance of these algorithms isevaluated by computer simulations, model experiment using a duct and an experiment using exhaust noise of diesel engine.
