Abstract

The piezoelectric actuator exhibits both linear dynamics of creep and vibration and nonlinear dynamics of hysteresis. The model identification from experiments can compensate uncertainties in the model and get a satisfactory model for the control. Block-oriented nonlinear model is suitable for modeling this kind of linear and nonlinear hybrid dynamics. In this study, a Wiener model identification method for the piezoelectric actuator is proposed to model the linear and nonlinear dynamics together from the data. The model is called two-linear(linear+linear)-nonlinear (TLN) Wiener model, where two additive linear dynamic models are used to identify the creep and vibration dynamics, and a nonlinear dynamic model is followed to identify the hysteresis nonlinear features. The TLN-Wiener model is parameterized using Laguerre functions and Prandtl-Ishlinskii (PI) model, and the model identification algorithm is proposed. The experiments on piezoelectric actuators show that the TLN-Wiener model identification method can model the creep, vibration and hysteresis dynamics. The method is applicable to model the rate-dependency dynamics of the piezoelectric actuator.

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