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