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dc.contributor.authorGarcia, Roberta Veloso-
dc.contributor.authorKuga, Helio Koiti-
dc.contributor.authorZanardi, Maria Cecilia F. P. S.-
dc.identifier.citationMathematical Problems In Engineering. New York: Hindawi Publishing Corporation, p. 12, 2012.-
dc.description.abstractThe aim of this work is to test an algorithm to estimate, in real time, the attitude of an artificial satellite using real data supplied by attitude sensors that are on board of the CBERS-2 satellite (China Brazil Earth Resources Satellite). The real-time estimator used in this work for attitude determination is the Unscented Kalman Filter. This filter is a new alternative to the extended Kalman filter usually applied to the estimation and control problems of attitude and orbit. This algorithm is capable of carrying out estimation of the states of nonlinear systems, without the necessity of linearization of the nonlinear functions present in the model. This estimation is possible due to a transformation that generates a set of vectors that, suffering a nonlinear transformation, preserves the same mean and covariance of the random variables before the transformation. The performance will be evaluated and analyzed through the comparison between the Unscented Kalman filter and the extended Kalman filter results, by using real onboard data.en
dc.publisherHindawi Publishing Corporation-
dc.sourceWeb of Science-
dc.titleUnscented Kalman Filter Applied to the Spacecraft Attitude Estimation with Euler Anglesen
dc.contributor.institutionInstituto Nacional de Pesquisas Espaciais (INPE)-
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)-
dc.description.affiliationINPE, Space Mech & Control Div, BR-12227010 Sao Jose Dos Campos, SP, Brazil-
dc.description.affiliationUNESP, Dept Math, FEG, BR-12516410 Guaratingueta, SP, Brazil-
dc.description.affiliationUnespUNESP, Dept Math, FEG, BR-12516410 Guaratingueta, SP, Brazil-
dc.rights.accessRightsAcesso aberto-
dc.relation.ispartofMathematical Problems in Engineering-
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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