Design of Experiment Method for Microsatellite System Simulation and Optimization

Author

Liu Xiao-Lu ; Chen Ying-guo ; Jing Xian-rong ; Chen Ying-Wu

Author_Institution

Dept. of Manage., NUDT, Changsha, China

fYear

2010

fDate

17-19 Dec. 2010

Firstpage

1200

Lastpage

1203

Abstract

A system optimization framework based on design of experiment (DOE) and simulation is proposed. Simulation is effective in the optimization of many complex systems, however, it is time consuming and tough. DOE can reduce the number of test cases drastically while ensuring input combination is of wise coverage of design space. A framework incorporating simulation and DOE is proposed, which provides a methodology to deal with optimization problem. It contains two key technologies: Latin hypercube design and surrogate model optimization, which are all detailed in paper. A problem of micro satellite system optimization is proposed to illustrate the correctness and effectiveness of the framework. The final results are listed. Also effect of each design variable on the system performance is analyzed.

Keywords

aerospace simulation; artificial satellites; design of experiments; optimisation; Latin hypercube design; design of experiment; design space; microsatellite system optimization; microsatellite system simulation; surrogate model optimization; Analytical models; Computational modeling; Data models; Hypercubes; Optimization; Satellites; US Department of Energy; Latin hypercube sampling; design of experiment; microsatellite system; optimization; surrogate model;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational and Information Sciences (ICCIS), 2010 International Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-8814-8

Electronic_ISBN

978-0-7695-4270-6

Type

conf

DOI

10.1109/ICCIS.2010.296

Filename

5709496