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@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 = "29 nov. 2020"
}


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