Iterative Learning Control Applied to a Deformable Mirror

被引：0

作者：

Cichy, Blazej ^{[1
]}

Augusta, Petr ^{[2
]}

Galkowski, Krzysztof ^{[1
]}

Rogers, Eric ^{[3
]}

机构：

[1] Univ Zielona Gora, Inst Control & Computat Engn, Ul Szafrana 2, PL-65516 Zielona Gora, Poland

[2] Czech Acad Sci, Inst Informat Theory & Automat, Pod Vodarenskou Vezi 4, CZ-18208 Prague, Czech Republic

[3] Univ Southampton, Dept Elect & Comp Sci, Southampton SO17 1BJ, Hants, England

来源：

PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017) | 2017年

关键词：

Crank-Nicolson Discretization Method; Iterative Learning Control; Thin Plates;

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：

An unconditionally stable finite difference discretization motivated by the well-known Crank-Nicolson method is used to develop an iterative learning control design for systems whose dynamics are described by a fourth-order partial differential equation. A discrete in time and space model of a deformable rectangular mirror is derived in this setting and forms the basi s for the new design, where a model for the actuator dynamics is also included. A numerical case study is given to demonstrate the properties of the new design.

引用

页码：3485 / 3490

页数：6

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