DocumentCode :
692449
Title :
Automatic Satellite Sun Sensors Placement Using Multi-objective Genetic Algorithm
Author :
Leonel Nascimento, Amanda ; Rodrigues Simoes, Andre ; Galende Marques de Carvalho, Fabricio ; dos Santos Alarcon, Paulo Nolberto
Author_Institution :
Fundacao de Cienc., Aplic. e Tecnol. Espaciais (FUNCATE), Sao Jose dos Campos, Brazil
fYear :
2013
fDate :
8-11 Sept. 2013
Firstpage :
402
Lastpage :
408
Abstract :
This work deals with satellite sun sensor placement using genetic algorithms. For a simplified but realistic problem scenario, this problem is solved and many simulation results are shown. The proposed methodology, which relies on numerical shadow analysis and multi-objective optimization, is discussed and a typical satellite design problem, that is frequently solved by a try-and-error approach, is converted into an optimization problem that can be solved automatically.
Keywords :
artificial satellites; genetic algorithms; simulation; automatic satellite sun sensors placement; multiobjective genetic algorithm; multiobjective optimization; numerical shadow analysis; simulation; try-and-error approach; Genetic algorithms; Optimization; Satellites; Sensor phenomena and characterization; Space vehicles; Sun; Genetic algorithms; attitude control subsystem; satellite design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence and 11th Brazilian Congress on Computational Intelligence (BRICS-CCI & CBIC), 2013 BRICS Congress on
Conference_Location :
Ipojuca
Type :
conf
DOI :
10.1109/BRICS-CCI-CBIC.2013.73
Filename :
6855882
Link To Document :
بازگشت