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		<secondarykey>INPE-11418-PRE/6854</secondarykey>
		<citationkey>ValdiviaSouzKuga:2004:ApKaFi</citationkey>
		<title>Application of the Kalman filter to estimate an elastic parameter in order to improve controller performance</title>
		<format>Papel</format>
		<year>2004</year>
		<secondarytype>PRE CI</secondarytype>
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		<size>164 KiB</size>
		<author>Valdivia, Rolf Henry Vargas,</author>
		<author>Souza, Luiz Carlos Gadelha de,</author>
		<author>Kuga, Helio Koiti,</author>
		<group>DMC-INPE-MCT-BR</group>
		<group>DMC-INPE-MCT-BR</group>
		<group>DMC-INPE-MCT-BR</group>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<affiliation>Instituto Nacional de Pesquisas Espaciais (INPE)</affiliation>
		<electronicmailaddress>rhvv@hotmail.com</electronicmailaddress>
		<electronicmailaddress>gadelha@dem.inpe.br</electronicmailaddress>
		<electronicmailaddress>hkk@dem.inpe.br</electronicmailaddress>
		<conferencename>International Conference on Computational & Experimental Engineering and Sciences.</conferencename>
		<conferencelocation>Madeira</conferencelocation>
		<date>26-29 July, 2004</date>
		<pages>1771-1776</pages>
		<transferableflag>1</transferableflag>
		<contenttype>External Contribution</contenttype>
		<keywords>ENGENHARIA E TECNOLOGIA ESPACIAL, Kalman filter, elastic displacement, rates.</keywords>
		<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.</abstract>
		<area>ETES</area>
		<language>en</language>
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		<notes>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.</notes>
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