@InProceedings{RoccoOlivPradSouz:2005:MuOpAp,
author = "Rocco, Evandro Marconi and Oliveira, Silvanio Bezerra de and
Prado, Antonio Fernando Bertachini de Almeida and Souza, Marcelo
Lopes de Oliveira",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)} and {Instituto Nacional de Pesquisas
Espaciais (INPE)}",
title = "Multi-objective optimization applied to a satellite constellation
considering uncertainties in the position measures and errors in
the orbital maneuvers",
booktitle = "Proceedings...",
year = "2005",
organization = "International Congress of Mechanical Engineering, 18. (COBEM).",
keywords = "Astrodynamics, Orbital Transfer, Satellite Constellation,
Maneuvers Optimization, Kalman Filter.",
abstract = "In this work the problem of orbital maintenance of a symmetrical
constellation of satellites, with minimum fuel consumption, is
studied using bi-impulsive maneuvers with time constraint. When
all the satellites are considered it is almost impossible to
determine the optimal maneuver strategy that minimizes the fuel
consumption. Therefore, the goal of this work is to formulate and
to study maneuver strategies that make possible to obtain
solutions with small fuel consumption considering all the
satellites in the constellation. The problem can be formulated as
a multi-objective problem due to the nature of the station-keeping
of a satellite constellation. Thus, the multi-objective problem
was defined and a new multi-objective optimization method was
applied. This method can consider n conflicting objectives
simultaneously without reducing the problem to an optimization of
only one objective, as occurs with most of the methods found in
the literature. This method, called the Smallest Loss Criterion,
was presented in Rocco et al. (2003). It was compared with other
existent methods and it was verified that it may supply better
results to the problem of the station-keeping of satellite
constellations. In this work, some applications of the Smallest
Loss Criterion, presented in Rocco et al. (2003) and Rocco et al.
(2005), are reproduced considering now that the satellite
positions are determined using GPS measures and that there are
errors in the magnitude and direction of the impulses applied in
the orbital maneuvers. So, these measures of the satellite
positions contain uncertainties that are filtered by a Kalman
filter.",
conference-location = "Ouro Preto, MG",
conference-year = "06-11 nov.",
targetfile = "rocco_multiobjective.pdf",
urlaccessdate = "06 maio 2024"
}