First Principles based High-precision Modelling and Identification of Piezoelectric Fast Steering Mirror

TL;DR

This paper develops a high-precision, first-principles-based composite model for a piezoelectric fast steering mirror, accurately capturing hysteresis, creep, and dynamic behaviors through novel modeling and parameter identification.

Contribution

It introduces a novel asymmetric Bouc-Wen hysteresis model and a step-by-step parameter identification method based on physical analysis, enhancing modeling accuracy for PFSMs.

Findings

The model accurately represents hysteresis, creep, and dynamics.

Experimental validation confirms the model's effectiveness.

The approach improves precision in PFSM control applications.

Abstract

We establish a high-precision composite model for a piezoelectric fast steering mirror (PFSM) using a Hammerstein structure. A novel asymmetric Bouc-Wen model is proposed to describe the nonlinear rate-independent hysteresis, while a dynamic model is derived to represent the linear rate-dependent component. By analyzing the physical process from the displacement of the piezoelectric actuator to the angle of the PFSM, cross-axis coupling is modeled based on first principles. Given the dynamic isolation of each module on different frequency scales, a step-by-step method for model parameter identification is carried out. Finally, experimental results demonstrate that the identified parameters can accurately represent the hysteresis, creep, and mechanical dynamic characteristics of the PFSM. Furthermore, by comparing the outputs of the identified model with the real PFSM under different excitation signals, the effectiveness of the proposed dual-input dual-output composite model is validated.