@Article{Mainenti-LopesSouzSous:2011:DeSaAt,
               author = "Mainenti-Lopes, Igor and Souza, Luiz Carlos Gadelha de and Sousa, 
                         Fabiano Luis de",
          affiliation = "{} and {Instituto Nacional de Pesquisas Espaciais (INPE)} and 
                         {Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Design of the Satellite Attitude Control System using 
                         Multi-Objective Generalized Extremal Optimization",
              journal = "Advances in the Astronautical Sciences",
                 year = "2011",
               volume = "I",
                pages = "1241--1252",
                 note = "Setores de Atividade: Atividades profissionais, 
                         cient{\'{\i}}ficas e t{\'e}cnicas.",
             keywords = "optimization algorithm, Nonlinear Optimal Control.",
             abstract = "In this work a new multi-objective optimization algorithm is 
                         presented. The main motivation to develop this new evolutionary 
                         algorithm, called M-GEOreal, is to improve the performance and 
                         robustness of the M-GEO algorithm previously developed and 
                         available in the literature. As a brand new algorithm, several 
                         tests have been performed previously with well-known test 
                         functions commonly used to verify the performance and robustness 
                         of optimization algorithm. In this work the performance and 
                         robustness of the M-GEOreal algorithm is investigated in a 
                         practical problem, which consist in designing a non-linear control 
                         law to control a rigid-flexible satellite attitude. The 
                         multi-objective control law requirements are to minimize, 
                         simultaneously, the time and the energy during the satellite 
                         attitude maneuver. A great advantage of this multi-objective 
                         approach is to deal with a set of optimised trade-off creating a 
                         region of solutions (non-dominated) available to the designer for 
                         posterior choice of an individual solution to be implemented. The 
                         non-dominated solutions are represented in the design space 
                         (Pareto optimal set) and in the objective functions space (Pareto 
                         front). From this design space one gets the best non-linear 
                         control law gains to satisfy the performance and robustness 
                         requirements of the satellite attitude control system. It is also 
                         important to stress that the besides the M-GEOreal be an 
                         optimization algorithm it is able to deal with non-linear system, 
                         designing a nonlinear control law. From the Pareto Front one 
                         obverses that M-GEOreal results are superior to the others two 
                         techniques, since its non-control law spend less energy to the 
                         same maneuvers time. The better robustness of the M-GEOreal is 
                         characterized by the fact that it is able to control a non-linear 
                         plant.",
                 issn = "0065-3438",
                label = "lattes: 5801699053436537 2 Mainenti-LopesSouzSous:2011:DeOfTh",
             language = "en",
           targetfile = "AAS11 270gad.pdf",
        urlaccessdate = "03 maio 2024"
}