Identification of Piezomicropositioning Hammerstein Systems with Generalized Prandtl-Ishlinskii Hysteresis Nonlinearities

被引：0

作者：

Aljanaideh, Khaled F. ^{[1
]}

Al Janaideh, Mohammad ^{[2
]}

Rakotondrabe, Micky ^{[3
]}

Kundur, Deepa ^{[4
]}

机构：

[1] Jordan Univ Sci & Technol, Dept Aeronaut Engn, Irbid 22110, Jordan

[2] Mem Univ Newfoundland, Dept Mech Engn, St John, NF A1B 3X5, Canada

[3] Univ Franche Comt, Univ Bourgogne Franche Comte, Dept Automat Control & Micromechatron Syst, FEMTO ST,AS2M,CNRS,ENSMM,UTBM,FEMTO ST Inst, Besancon, France

[4] Univ Toronto, Dept Elect & Comp Engn, Toronto, ON M5S 2E4, Canada

来源：

2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC) | 2018年

关键词：

COMPENSATION; MODEL; CREEP;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

We introduce an algorithm to identify the nonlinear dynamics of a class of smart micropositioning systems, which is modeled as a Hammerstein system, that is, a cascade of a generalized Prandtl-Ishlinskii (GPI) hysteresis nonlinearity with a linear dynamic system. The GPI hysteresis nonlinearity, the linear dynamic system, and the intermediate signal between them are assumed to be unknown. The first stage in the algorithm is to identify the linear dynamic plant from measurements of the input and output of the Hammerstein system. Then, the unknown intermediate signal is reconstructed using the output and the identified model of the linear system. Finally, the GPI nonlinearity is estimated using the input and the reconstructed intermediate signal.

引用

页码：6585 / 6590

页数：6

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