@Article{SouzaGonz:2012:ApStRi,
               author = "Souza, Luiz Carlos Gadelha de and Gonzales, R G",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)}",
                title = "Application of the state-dependent riccati equation and kalman 
                         filter techniques to the design of a satellite control system",
              journal = "Shock and Vibration",
                 year = "2012",
               volume = "19",
               number = "5",
                pages = "22--28",
                 note = "Setores de Atividade: Atividades profissionais, 
                         cient{\'{\i}}ficas e t{\'e}cnicas.",
             keywords = "Satellite simulator, SDRE methodology, robust control.",
             abstract = "Design of Satellite Attitude Control System (ACS) that involves 
                         plant uncertainties and large angle manoeuvres following a 
                         stringent pointing control, may require new non-linear control 
                         techniques in order to have adequate stability, good performance 
                         and robustness. In that context, experimental validation of new 
                         non-linear control techniques through prototypes is the way to 
                         increase confidence in the controller designed. The Space 
                         Mechanics and Control Division (DMC) of INPE is constructing a 3-D 
                         simulator to supply the conditions for implementing and testing 
                         satellite ACS hardware and software. The 3-D simulator can 
                         accommodate various satellites components; like sensors, 
                         actuators, computers and its respective interface and electronic. 
                         Depending on the manoeuvre the 3-D simulator plant can be highly 
                         non-linear and if the simulator inertia parameters are not well 
                         determined the plant also can present some kind of uncertainty. As 
                         a result, controller designed by linear control technique can have 
                         its performance and robustness degraded, therefore controllers 
                         designed by new non-linear approach must be considered. This paper 
                         presents the application of the State-Dependent Riccati Equation 
                         (SDRE) method in conjunction with Kalman filter technique to 
                         design a controller for the DMC 3-D satellite simulator. The SDRE 
                         can be considered as the non-linear counterpart of Linear 
                         Quadratic Regulator (LQR) control technique. Initially, a simple 
                         comparison between the LQR and SDRE controller is performed. After 
                         that, practical applications are presented to address problems 
                         like presence of noise in process and measurements and incomplete 
                         state information. Kalman filter is considered as state observer 
                         to address these issues. The effects of the plant non-linearities 
                         and noises (uncertainties) are considered in the performance and 
                         robustness of the controller designed by the SDRE and Kalman 
                         filter. The 3-D simulator simulink-based model has been developed 
                         to perform the simulations examples to investigate the SDRE 
                         controller performance using the states estimated by the Kalman 
                         filter. Simulations have demonstrated the validity of the proposed 
                         approach, once the SDRE controller has presented good stability 
                         margin, great performance and robustness.",
                  doi = "10.3233/SAV-2012-0701",
                  url = "http://dx.doi.org/10.3233/SAV-2012-0701",
                 issn = "1070-9622",
                label = "lattes: 5801699053436537 1 SouzaGonz:2012:ApStRi",
             language = "en",
           targetfile = "fulltext.pdf",
        urlaccessdate = "18 abr. 2024"
}