@Article{Mainenti-LopesSouzSous:2016:CoStCo,
author = "Mainenti-Lopes, I. and Souza, Luiz Carlos Gadelha de and Sousa,
Fabiano Luis de",
affiliation = "{Universidade de Bras{\'{\i}}lia (UnB)} and {Instituto Nacional
de Pesquisas Espaciais (INPE)} and {Instituto Nacional de
Pesquisas Espaciais (INPE)}",
title = "A comparative study between control strategies for a solar
sailcraft in an Earth–Mars transfer",
journal = "Mechanical Systems and Signal Processing",
year = "2016",
volume = "79",
pages = "289--296",
month = "Oct.",
keywords = "Solar sailcraft, Trajectory optimization, Evolutionary algorithm,
Generalized extremal optimization.",
abstract = "The goal of this work was a comparative study of solar sail
trajectory optimization using different control strategies. Solar
sailcraft is propulsion system with great interest in space
engineering, since it uses solar radiation to propulsion. So there
is no need for propellant to be used, thus it can remains active
throughout the entire transfer maneuver. This type of propulsion
system opens the possibility to reduce the cost of exploration
missions in the solar system. In its simplest configuration, a
Flat Solar Sail (FSS) consists of a large and thin structure
generally composed by a film fixed to flexible rods. The
performance of these vehicles depends largely on the sails
attitude relative to the Sun. Using a FSS as propulsion,
an{"}Earth-Mars transfer optimization problem was tackled by the
algorithms GEO(real1) and GEO(real2) (Generalized Extremal
Optimization with real codification). Those algorithms are
Evolutionary Algorithms (AE) based on the theory of Self-Organized
Criticality. They were used to optimize the FSS attitude angle so
it could reach Mars orbit in minimum time. It was considered that
the FSS could perform up to ten attitude maneuvers during orbital
transfer. Moreover, the time between maneuvers can be different.
So, the algorithms had to optimize an objective function with 20
design variables. The results obtained in this work were compared
with previously results that considered constant values of time
between maneuvers.",
doi = "10.1016/j.ymssp.2016.02.026",
url = "http://dx.doi.org/10.1016/j.ymssp.2016.02.026",
issn = "0888-3270",
language = "en",
targetfile = "mainenti_a comparative.pdf",
urlaccessdate = "27 abr. 2024"
}