Title :
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
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;
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
DOI :
10.1109/ICCIS.2010.296
