FXLMS ALGORITHM PDF

Updated 23 Nov This simple simulation shows the implementation of FxLMS algorithm for a single channel feed-forward active noise control system. Here, the controller generates an "anti-noise" signal to result a destructive interference at the sensor position. The objective is to minimize the noise residue. The process comprises of two tasks: the "off-line" identification of the secondary propagation path that stays between the actuator and sensor; and the "on-line" control, in which the parameters of the controller are adjusted. Function "filter " can be substitute with convolution routine, i.

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Email Address. Sign In. An appropriate ANC system was selected based on the transformer noise characteristics and experimental condition. A new filter-X least mean square FXLMS adaptive ANC algorithm based on offline and online secondary-path modeling was proposed to realize faster and more stable secondary-path online modeling than that of the random white-noise FXLMS algorithm and to ensure the convergence, stability, and reduction in transformer noise control. Moreover, the genetic algorithm is adopted to optimize the convergence coefficient, while the effect of the convergence coefficient on the algorithm was analyzed using simulation and theory.

In addition, the transformer noise online monitoring and active control system was designed including software and hardware, and the hardware devices were selected based on the noise feature.

In the 50 KVA transformer noise reduction experiment, the system achieved a noise reduction of dB and an Article :. Date of Publication: 14 March DOI: Need Help?

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