@InProceedings{VargasSouzKuga:2004:RoKaFi,
               author = "Vargas, Rolf and Souza, Luiz Carlos Gadelha de and Kuga, Helio 
                         Koiti",
          affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto 
                         Nacional de Pesquisas Espaciais (INPE)} and {Instituto Nacional de 
                         Pesquisas Espaciais (INPE)}",
                title = "Robustness of the Kalman filter application to estimate states of 
                         a space flexible system",
            booktitle = "Anales...",
                 year = "2004",
         organization = "Proceeding of the International Astronautical Congress",
             abstract = "Nowadays, satellites with rigid and flexible components are 
                         increasingly being extended to advanced applications, where solar 
                         panels, communication antennas, telescopic structures and robotics 
                         arms must achieve better pointing accuracy requirements. On the 
                         other hand, the guaranty of the controller performance depends not 
                         only on its good design but also on the knowledge of all states to 
                         be fed-back in order to improve the overall control system 
                         efficiency. As a result, control system design methods that 
                         include parameters identification and/or states estimation need 
                         more investigation to know their capability and limitations. In 
                         this paper, a Kalman filter methodology is used to recover the 
                         unmeasured states (elastic displacement and its rates) considering 
                         that only the states associated with rigid motion are measured 
                         (angle and angular velocity). In order to investigate the 
                         robustness of the filter, the Kalman filter methology is tested 
                         with a satellite model compose of one, two and three flexible 
                         modes. One observes that the fidelity of the estimation process 
                         increase with the inclusion of more modes in the satellite model, 
                         which in turn not affect the performance of the Kalman filter 
                         procedure.",
  conference-location = "Vancouver, Canada",
             language = "en",
           targetfile = "rolf vargas_robustness.pdf",
        urlaccessdate = "20 maio 2024"
}