Optimal Design for the Supporting Structure of the Deformable Mirror

被引：0
|
作者：
Zhao, Fu [1 ]
Gong, Yanjue [1 ]
Zhang, Li [1 ]
Xiang, Huiyu [1 ]
Wang, Ping [2 ]
机构：
[1] Beijing Technol & Business Univ, Coll Mech Engn, Beijing, Peoples R China
[2] Beijing Inst Technol, Dept Opt Engn, Beijing, Peoples R China
来源：
PROCEEDINGS OF THE 2009 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND NATURAL COMPUTING, VOL I | 2009年
关键词：
deformable mirror; supporting structure; BP neural network; optimization design; finite element analysis;
D O I：
10.1109/CINC.2009.207
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
this paper describes the optimization solution to improve the dynamic stiffness of the deformable mirror supporting structure. With the methods of Finite element analysis(FEA), Orthogonal experiment and BP Neural Network, the relationship between the structure parameters of the deformable mirror supporting structure and its resonate frequency is built. With this relationship and Genetic Algorithm(GA) optimal design, a group of reasonable structure parameters are found that can improve the dynamic stiffness of the deformable mirror supporting structure.
引用
收藏
页码：458 / +
页数：2
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