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1. Identity statement
Reference TypeJournal Article
Siteplutao.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentifierJ8LNKAN8RW/3C63E46
Repositorydpi.inpe.br/plutao/2012/06.21.17.16.52   (restricted access)
Last Update2012:08.24.13.17.20 (UTC) administrator
Metadata Repositorydpi.inpe.br/plutao/2012/06.21.17.16.53
Metadata Last Update2021:02.11.18.11.10 (UTC) administrator
DOI10.1155/2012/985429
ISSN1024-123X
1563-5147
Labellattes: 1786255724025154 2 GarciaKugaZana:2012:UnKaFi
Citation KeyGarciaKugaZana:2012:UnKaFi
TitleUnscented Kalman Filter Applied to the Spacecraft Attitude Estimation with Euler Angles
Year2012
Access Date2024, May 02
Secondary TypePRE PI
Number of Files1
Size1149 KiB
2. Context
Author1 Garcia, Roberta Veloso
2 Kuga, Helio Koiti
3 Zanardi, Maria Cecilia F. P. S.
Resume Identifier1
2 8JMKD3MGP5W/3C9JHC9
Group1
2 DMC-ETE-INPE-MCTI-GOV-BR
Affiliation1
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Department of Mathematics, FEG, UNESP
Author e-Mail Address1 rvelosogarcia@yahoo.com.br
2 hkk@dem.inpe.br
e-Mail Addresshkk@dem.inpe.br
JournalMathematical Problems in Engineering
Volume2012
NumberArticle ID 985429
Pages1-12
Secondary MarkB5_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
History (UTC)2012-06-22 00:10:59 :: lattes -> administrator :: 2012
2012-07-21 08:36:31 :: administrator -> secretaria.cpa@dir.inpe.br :: 2012
2012-12-14 11:14:25 :: secretaria.cpa@dir.inpe.br -> administrator :: 2012
2021-02-11 18:11:10 :: administrator -> marciana :: 2012
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
KeywordsUnscented Kalman filter
ATTITUDE DETERMINATION
Euler angles estimation
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.
AreaETES
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMC > Unscented Kalman Filter...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target FileGarcia_et_al_2012_UnscentedKalmanFilter.pdf
User Groupadministrator
lattes
secretaria.cpa@dir.inpe.br
Visibilityshown
Archiving Policydenypublisher allowfinaldraft
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
LinkingTrabalho Vinculado à Tese/Dissertação
Next Higher Units8JMKD3MGPCW/446AF4B
DisseminationPORTALCAPES
Host Collectiondpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notes
NotesSetores de Atividade: Pesquisa e desenvolvimento científico.
Empty Fieldsalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository month nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarytype typeofwork url
7. Description control
e-Mail (login)marciana
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