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
收藏
页码：3485 / 3490
页数：6
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