Control Channel Identification Method and Experimental Research on FXLMS Vibration Control

Control channel model parameters of adaptive filter feedforward control for piezoelectric smart flexible structures should be predicted, as not only they are the key factors of system stability and control effect but also they have immediate impacts on system convergence and the validity of control strategy. This paper takes the piezoelectric flexible structure as research object. According to least mean square (LMS) algorithm, control channel identification method and its implementation, applied in the MIMO adaptive filter feedforward vibration control, is deduced in detail. Parameter identification, based on which adaptive control for vibration suppression is developed, is performed for the controlled structure, a smart cantilever plate with piezoelectric patches. Experiment results demonstrate the correctness and availability of the control channel identification method and its implementation technique.