Identification of High-Frequency Hysteresis Based on Dual Bouc-Wen model

When the piezoceramic actuator (PEA) perform the high-frequency and nanometer precision motion, the hysteresis existing in PEA are not only non-smooth, nonlinear and multi-value mapping, but also rate-depended. It is very difficult to use the traditional identification scheme to model such a system. In this paper, the classical Bouc-Wen model is modified and the dual Bouc-Wen model structure with linearization in parameters is proposed; and then its coefficients are estimated by the Recursive General Identification Algorithm (RGIA). The experimental results are presented to illustrate the performance of the proposed identification scheme and the obtained model can be applied the high-frequency adaptive control.