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1. Identity statement
Reference TypeBook Section
Sitemarte3.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZ3r59YCT/H3Ed9
Repositorysid.inpe.br/iris@1905/2005/08.03.22.24   (restricted access)
Last Update2015:11.18.12.11.02 (UTC) marciana
Metadata Repositorysid.inpe.br/iris@1905/2005/08.03.22.24.09
Metadata Last Update2021:02.11.18.09.48 (UTC) administrator
Secondary KeyINPE-9222-PRE/4893
Label10137
Citation KeyCarraraRios:2000:SaAtAc
TitleSatellite attitude acquisition using a neural network controller
Year2000
Secondary Date20021004
Access Date2024, May 08
Secondary TypePRE LN
Number of Files1
Size172 KiB
2. Context
Author1 Carrara, Valdemir
2 Rios Neto, Atair
Group1 DMC-INPE-MCT-BR
EditorPrado, Antonio Fernando Bertachini de Almeida
Book TitleAdvances in Space Dynamics
CitySão José dos Campos
Pages272-282
Series TitleAdvances in Space Dynamics
History (UTC)2014-09-29 15:09:01 :: administrator -> marciana :: 2000
2015-11-18 12:11:03 :: marciana -> administrator :: 2000
2021-02-11 18:09:48 :: administrator -> :: 2000
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typefinaldraft
KeywordsENGENHARIA E TECNOLOGIA ESPACIAL
attitude control
AbstractNeural networks are non-linear functional approximators, and natural candidates to be used in nor linear systems control. Satellite nominal attitude control dynamics is an example of non-linear systet where conventional control has been applied sucessfully since the early space age. Howevei conventional control like the PD (proportional and derivative of the error)can only guarante robustness to work in a small region around the reference or nominal attitude. This certaninly is no the case of an attitude acquisition, where large maneuvers are commanded autonomously in order V point the satellite close to a nominal attitude. Searching for a solution that overcomes this limitation in this work it is investigated the possibility of performing satellite attitude acquisition control b, means of an artificial neural net. It is employed the feedback error learning method in order to traii the network with the inverse dynamics. A simulated example of an attitude acquisition of a satellite with deploying solar arrays is presented.
AreaETES
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMC > Satellite attitude acquisition...
doc Directory Contentaccess
source Directory Contentthere are no files
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4. Conditions of access and use
Target File2000_carrara.pdf
User Groupadministrator
Visibilityshown
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/446AF4B
Host Collectionsid.inpe.br/banon/2001/04.03.15.36
6. Notes
Empty Fieldsaffiliation archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition electronicmailaddress format isbn issn language lineage mark mirrorrepository nextedition notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project publisher readergroup resumeid rightsholder schedulinginformation secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype translator url volume


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