@InProceedings{RamosSouzArau:2008:CoInSa,
author = "Ramos, Fausto O. and Souza, Luiz Carlos Gadelha de and Araujo,
Jos{\'e} Ernesto de",
affiliation = "{Instituto de Aeron{\'a}utica e Espa{\c{c}}o (IAE)} and
{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)}",
title = "Computational Intelligent Satellite Attitude Control Design",
booktitle = "Anais...",
year = "2008",
pages = "pre-print",
organization = "International Astronautical Congress.",
abstract = "A Computational Intelligent (CI) mechanism for control system
design employing robust and random search techniques applied to a
satellite model and using a reaction wheel is presented in this
paper. The embedding of computational intelligence mechanisms in
control system design can be attractive for on-board re-design
purposes, according to the FireSat satellite model considered
here. Moreover, it is demonstrated that effective search and
scoring procedures can replace human-performed
trial-and-improvement actions for gain computation, and produce
performance indexes and torque levels compatible with real world
specifications. The Computational Intelligence mechanisms employed
in this paper intertwine genetic algorithm, which generates,
combines, and selects candidate controllers, with fuzzy system,
for scoring performance indexes and torque levels of the
controller candidates which, in turn, are subsequently used by the
genetic algorithm. A combination of this design approach, recently
proposed by the authors in a previous paper, demonstrated its
usefulness according four different techniques, while in this
paper an H2 truncated controller is adopted in order to consider
the disadvantage of robust techniques that usually supply
high-order controllers.",
conference-location = "Glasgow",
label = "lattes: 2039900917750691 3 RamosSouzArau:2008:CoInSa",
language = "pt",
targetfile = "ramos_computational.pdf",
urlaccessdate = "03 maio 2024"
}