@InProceedings{ValdiviaSouzKuga:2004:ApKaFi,
               author = "Valdivia, Rolf Henry Vargas 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 = "Application of the Kalman filter to estimate an elastic parameter 
                         in order to improve controller performance",
                 year = "2004",
                pages = "1771--1776",
         organization = "International Conference on Computational \& Experimental 
                         Engineering and Sciences.",
                 note = "{paperID: 260 Session: E4 Start: 08:50 End: 09:10 Application of 
                         the Kalman Filter to Estimate an Elastic Parameter in Order to 
                         Improve Controller Performance Rolf Vargas; L.C. Gadelha DeSouza; 
                         Helio K.}",
             keywords = "ENGENHARIA E TECNOLOGIA ESPACIAL, Kalman filter, elastic 
                         displacement, rates.",
             abstract = "With the vast advances in space missions using satellites with 
                         rigid and flexible componenrts, where the accuracy of point are 
                         very demanding, the requirements for the control system with more 
                         efficient controllers has increased. In that context the validity 
                         of the controller performance depends not only on its good design 
                         but also on the knowledge of all states to be feed backed in order 
                         to improve the control systems efficiency. In this paper, a Kalman 
                         filter methodology is used to recover all the unmeasured states 
                         (elastic displacement and itīs 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, one simulates the kalman filter with a satellite model 
                         compose of one, two and three flexible modes. One observes thet 
                         the fidelity of the estimation process increase with the inclusion 
                         of more modes into the satellite model, which in turn not affect 
                         the performance of the Kalman filter procedure.",
  conference-location = "Madeira",
      conference-year = "26-29 July, 2004",
           copyholder = "SID/SCD",
             language = "en",
           targetfile = "vargas_application.pdf",
        urlaccessdate = "17 maio 2024"
}