Laser pointing stabilization and control in the submicroradian regime with neural networks

被引：13

作者：

Breitling, F ^{[1
]}

Weigel, RS

Downer, MC

Tajima, T

机构：

[1] Univ Texas, Dept Phys, Austin, TX 78712 USA

[2] Lawrence Livermore Natl Lab, Livermore, CA 94551 USA

来源：

REVIEW OF SCIENTIFIC INSTRUMENTS | 2001年 / 72卷 / 02期

关键词：

D O I：

10.1063/1.1334624

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

The possibility of controling the pointing stability of a slowly pulsed Ti:Sapphire laser system by lowpass filters and artificial neural networks (NN) is investigated by performing time series analysis and computer simulations on experimentally measured datasets. The simulations show that at pulse repetition rates of 20 Hz it is possible to use a feedforward algorithm to reduce the angular standard deviation from 0.7 to 0.3 mu rad. The properties and advantages of NN methods such as automatic adaptation characteristics of a time series are discussed. (C) 2001 American Institute of Physics.

引用

页码：1339 / 1342

页数：4

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