This paper proposes a new method for online secondary path modeling in feedback active noise control (ANC) systems. In practical cases, the secondary path is usually time-varying. For these cases, online modeling of secondary path is required to ensure convergence of the system. In literature the secondary path estimation is usually performed offline, prior to online modeling, where in the prop...

in many active noise control (anc) applications, an online secondary pathmodelling method that uses a white noise as a training signal is required. this paperproposes a new feedback anc system. here we modified both the fxlms and thevss-lms algorithms to raised noise attenuation and modelling accuracy for theoverall system. the proposed algorithm stops injection of the white noise at theoptimum...

Several approaches have been introduced in literature for active noise control (ANC)systems. Since Filtered-x-Least Mean Square (FxLMS) algorithm appears to be the best choice as acontroller filter. Researchers tend to improve performance of ANC systems by enhancing andmodifying this algorithm. This paper proposes a new version of FxLMS algorithm. In many ANCapplications an online secondary pat...

In Active noise control (ANC), the secondary path has usually a time varying behavior. For these cases, an online secondary path modeling method that uses a auxiliary noise as a training signal is required to ensure convergence of the system. The modeling accuracy and the convergence rate are increased when a auxiliary noise with a larger variance is used. A sudden change in the secondary path ...

A new frequency domain ANC algorithm based on the Kalman filter is presented. This algorithm has on-line secondary path modeling and is designed to minimize the effects of large secondary path changes on the acoustic noise level. It is based on the Overall Modeling Algorithm with a careful controller and estimation of the secondary path changes. Due to its frequency domain implementation the sy...

Acoustic noise canceling methods are used to cancel out noise from a noise source. A frequently used algorithm is the filtered-X algorithm. This method uses an estimate of the acoustical path from secondary sound source to microphone. Because the secondary path can change due to movements or other circumstances it is desirable to track the secondary path online. In this paper several online mod...

In this paper, we propose a computationally efficient Legendre Neural Network (LNN) for nonlinear Active Noise Cancellation (NANC). Update algorithms for NANC with linear secondary path (LSP) based on Filtered-x Least Mean Square (FXLMS), Filtered-e Least Mean Square(FELMS) and Recursive Least Square(RLS) are developed. Update algorithm for NANC with nonlinear secondary path(NSP) is also develo...

In this paper, an active control structure used piezoelectric stack actuator is built to suppress vibration due to internal incentive in gear transmission. Because the gear system is timevariant and unknown, an offline modeling technique is unable to tracking the changes in the secondary path, an adaptive filter algorithm used online secondary path modeling method is proposed to the active vibr...