Design Optimization of Polysilicon Electrostatic Micromotor Based on Genetic Algorithm

Author

Lin, Zhi-Wei ; Li, Jun ; Zhang, Bai-Hai ; Di, Xin

Author_Institution

Dept. of Autom. Control, Beijing Inst. of Technol., Beijing, China

Volume

3

fYear

2009

fDate

21-22 May 2009

Firstpage

130

Lastpage

133

Abstract

To get the optimization shape of polysilicon electrostatic micromotor, the method of the combination of genetic algorithm (GA) and FEM analysis is studied. Fitness value is calculated by ANSYS, and the genetic algorithm is realized by APDL language. Simple genetic algorithm is improved by self-adaptive big mutation operation, and the big mutation operation is utilized to avoid premature when the number of population is small. A good optimization result is get. Then a comparison of GA and optimization method in ANSYS is showed. The results show that GA is more effective than zero/first order optimization method in ANSYS.

Keywords

electrical engineering computing; electrostatic motors; finite element analysis; genetic algorithms; silicon; ANSYS; APDL language; FEM analysis; design optimization; fitness value; genetic algorithm; optimization shape; polysilicon electrostatic micromotor; self-adaptive big mutation operation; Clouds; Design optimization; Electrostatic analysis; Genetic algorithms; Genetic mutations; Geometry; Micromotors; Optimization methods; Stators; Torque; ANSYS; genetic algorithm; polysilicon electrostatic micromotor; self-adaptive big mutation;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing Science, 2009. ICIC '09. Second International Conference on

Conference_Location

Manchester

Print_ISBN

978-0-7695-3634-7

Type

conf

DOI

10.1109/ICIC.2009.238

Filename

5168821