%0 Journal Article
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%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@archivingpolicy denypublisher allowfinaldraft
%@tertiarymark Trabalho Vinculado à Tese/Dissertação
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JHC9
%X The 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.
%N Article ID 985429
%T Unscented Kalman Filter Applied to the Spacecraft Attitude Estimation with Euler Angles
%@electronicmailaddress rvelosogarcia@yahoo.com.br
%@electronicmailaddress hkk@dem.inpe.br
%@secondarytype PRE PI
%K Unscented Kalman filter, ATTITUDE DETERMINATION, Euler angles estimation.
%@usergroup administrator
%@usergroup lattes
%@usergroup secretaria.cpa@dir.inpe.br
%@group
%@group DMC-ETE-INPE-MCTI-GOV-BR
%@e-mailaddress hkk@dem.inpe.br
%3 Garcia_et_al_2012_UnscentedKalmanFilter.pdf
%@secondarymark B5_ASTRONOMIA_/_FÍSICA B4_CIÊNCIA_DA_COMPUTAÇÃO B3_CIÊNCIAS_AGRÁRIAS_I B1_ENGENHARIAS_I B2_ENGENHARIAS_II B1_ENGENHARIAS_III A2_ENGENHARIAS_IV A2_INTERDISCIPLINAR B3_MATEMÁTICA_/_PROBABILIDADE_E_ESTATÍSTICA
%F lattes: 1786255724025154 2 GarciaKugaZana:2012:UnKaFi
%@issn 1024-123X
%@issn 1563-5147
%2 dpi.inpe.br/plutao/2012/06.21.17.16.53
%@affiliation
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Department of Mathematics, FEG, UNESP
%B Mathematical Problems in Engineering
%@versiontype publisher
%P 1-12
%4 dpi.inpe.br/plutao/2012/06.21.17.16.52
%@documentstage not transferred
%D 2012
%V 2012
%@doi 10.1155/2012/985429
%O Setores de Atividade: Pesquisa e desenvolvimento científico.
%A Garcia, Roberta Veloso,
%A Kuga, Helio Koiti,
%A Zanardi, Maria Cecilia F. P. S.,
%@dissemination PORTALCAPES
%@area ETES