Modeling of Dynamic Systems With Hysteresis Using Predictive Gradient-Based Method

被引：0

作者：

Chai, Guo ^{[1
,2
]}

Tan, Yonghong ^{[3
]}

Tan, Qingyuan ^{[4
]}

Dong, Ruili ^{[5
]}

Ke, Changzhong ^{[5
]}

Gu, Ya ^{[3
]}

Wang, Tianyu ^{[6
]}

机构：

[1] Shanghai Normal Univ, Coll Math, Shanghai 200234, Peoples R China

[2] Henan Univ Sci & Technol, Dept Informat & Comp Sci, Luoyang 471000, Peoples R China

[3] Shanghai Normal Univ, Coll Informat Mech & Elect Engn, Shanghai 200234, Peoples R China

[4] Univ Windsor, Dept Elect & Comp Engn, Windsor, ON N9B 3P4, Canada

[5] Donghua Univ, Coll Informat Sci & Technol, Shanghai 201620, Peoples R China

[6] Henan Inst Sci & Technol, Sch Math Sci, Xinxiang 453003, Peoples R China

来源：

IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING | 2024年

基金：

中国国家自然科学基金; 上海市自然科学基金;

关键词：

Predictive gradient; identification; hysteresis; convergence analysis; micromirror; RATE-DEPENDENT HYSTERESIS; IDENTIFICATION; COMPENSATION;

D O I：

10.1109/TASE.2024.3494596

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new modeling method of dynamic systems with rate-dependent hysteresis is proposed in this paper. In this method, a hysteresis model with simple exponential structure is proposed to describe the features of rate-dependent hysteresis. Subsequently, the properties of the proposed hysteresis model are analyzed. Then, a Hammerstein model embedded with the proposed hysteresis model is established to describe the behavior of dynamic systems with rate-dependent hysteresis. Afterward, a predictive gradient-based modeling method is proposed to determine the parameters of the new model. In addition, the convergence analysis of the predictive gradient based modeling method is analyzed. Then, the proposed identification method is applied to modeling of electromagnetic scanning micromirror chips. Finally, the comparison between the proposed novel modeling scheme and other typical nonlinear modeling methods is illustrated.

引用

页数：12

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