An anti-interference variable-step adaptive algorithm and its application in active vibration control

Noise is unavoidable in a vibration control system due to the complexity of the actual application environment and the measuring limitation of sensing devices. In this paper, the jamming effects on the convergence process is analyzed and then we propose a new variable-step adaptive FxLMS algorithm which can reduce the negative effects of interference. The new algorithm can not only solve the problem in active vibration control (AVC) properly, but also decrease the misadjustment without slowing down the convergence rate. Simulation and experimental results show that the improved algorithm can effectively reduce the noise interference, and improve the application level of FxLMS algorithms in the case of vibration control.