Abstract
The Filtered-X algorithm based on linear adaptive filters had been widely used in the active vibration control, but its effectiveness was limited by the nonlinearity of the active actuators. In this paper, the nonlinear reverse model of actuator was built using polynomial method and neural network algorithm, and an improved Fx-LMS algorithm based on reverse model linearization was put forward to address the nonlinearity of the actuators in active vibration isolation system. Simulation and experiment showed that the improved Fx-LMS algorithm had better effect on periodic vibration control with nonlinearity compared with the traditional Fx-LMS feedforward control method.
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