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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorysid.inpe.br/marciana/2004/07.20.13.28
Last Update2004:07.20.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/marciana/2004/07.20.13.28.44
Metadata Last Update2021:02.11.18.15.14 (UTC) administrator
Secondary KeyINPE-10980-PRE/6436
ISBN/ISSN85-86883-16-6
Citation KeyVargasSouzKuga:2004:KaFiRo
TitleKalman filter robustness in estimating an elastic parameter of a flexible space system
FormatOn-line
Year2004
Access Date2024, May 18
Secondary TypePRE CN
Number of Files1
Size171 KiB
2. Context
Author1 Vargas, Rolf H
2 Souza, Luiz Carlos Gadelha de
3 Kuga, Helio Koiti
Resume Identifier1
2 8JMKD3MGP5W/3C9JHN3
3 8JMKD3MGP5W/3C9JHC9
Group1 DMC-INPE-MCT-BR
2 DMC-INPE-MCT-BR
3 DMC-INPE-MCT-BR
Conference NameCongresso Temático de Dinâmica e Controle, 3 (DINCON)
Conference LocationIlha Solteira
Date31maio - 3 jun. 2004
PublisherSBMAC
Pages1852-1856.
Book TitleAnais
History (UTC)2005-01-07 10:29:05 :: marciana -> administrator ::
2006-11-09 18:52:42 :: administrator -> marciana ::
2007-03-20 13:41:14 :: marciana -> administrator ::
2021-02-11 18:15:14 :: administrator -> marciana :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
KeywordsENGENHARIA E TECNOLOGIA ESPACIAL
Kalman filter
robustness
flexible space system
AbstractNowadays, control systems of satellites with rigid and flexible components are increasingly being extended to advanced applications, such as space uninhabited vehicles with very demanding pointing accuracy. The control design methods presently available, including parameters and states estimation, robust and adaptive control, need more investigation to know their capability and limitations. In that context, the guaranty of the controller performance depends not only on its good design but also on the knowledge of all states to be fed-back in order to improve the overall control system efficiency. In this paper, a Kalman filter methodology is used to recover all the unmeasured states (elastic displacement and its rates) considering that only the states associated with rigid motion are measured (angle and angular velocity). To investigate the robustness of the Kalman filter, one considers in the measurements model phase a satellite model with three flexible modes, whereas in the time and measurement update phases the satellite model will consider just one flexible mode. Through the simulations, one observes that the fidelity of the estimation process enhances with the inclusion of more modes into the satellite model. However, one observes as well that even with a reduced model in the update phase the robustness of the Kalman filter is preserved once it is properly tuned.
AreaETES
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMC > Kalman filter robustness...
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/sid.inpe.br/marciana/2004/07.20.13.28
zipped data URLhttp://urlib.net/zip/sid.inpe.br/marciana/2004/07.20.13.28
Languagept
Target Filekuga 4.pdf
User Groupadministrator
marciana
Visibilityshown
Copy HolderSID/SCD
Read Permissionallow from all
5. Allied materials
Next Higher Units8JMKD3MGPCW/446AF4B
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.54.10 1
Host Collectionsid.inpe.br/banon/2003/08.15.17.40
6. Notes
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