Intelligent Structural Optimum Design for the Circle Support Structure of Deformable Mirror

Author

Zhao, Fu ; Gong, Yanjue ; Meng, Chunling ; Zhang, Shuailong

Author_Institution

Coll. of Mech. Eng., Beijing Technol. & Bus. Univ., Beijing, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

In order to find efficient and robust structural optimum design method for the deformable mirror (DM) support structure, this paper analyzes a kind of circle structure based on the finite element analysis results of ANSYS software. Aiming at finding the maximum resonate frequency of this support structure, an intelligent solution combining orthogonal experiment, BP neural network and genetic algorithms (GA) is applied to optimization of the structural parameters for the circle support structure. It is shown that the intelligent method presented in this paper is an effective way for solving complex, multi variable structure optimum problems.

Keywords

backpropagation; finite element analysis; genetic algorithms; mathematics computing; mirrors; neural nets; optical computing; ANSYS software; BP neural network; circle support structure; deformable mirror; finite element analysis; genetic algorithms; intelligent structural optimum design method; maximum resonate frequency; Delta modulation; Design methodology; Finite element methods; Genetic algorithms; Intelligent networks; Intelligent structures; Mirrors; Neural networks; Resonant frequency; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5365768

Filename

5365768