1. Identity statement | |
Reference Type | Book Section |
Site | marte3.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 6qtX3pFwXQZ3r59YCT/H3Ed9 |
Repository | sid.inpe.br/iris@1905/2005/08.03.22.24 (restricted access) |
Last Update | 2015:11.18.12.11.02 (UTC) marciana |
Metadata Repository | sid.inpe.br/iris@1905/2005/08.03.22.24.09 |
Metadata Last Update | 2021:02.11.18.09.48 (UTC) administrator |
Secondary Key | INPE-9222-PRE/4893 |
Label | 10137 |
Citation Key | CarraraRios:2000:SaAtAc |
Title | Satellite attitude acquisition using a neural network controller |
Year | 2000 |
Secondary Date | 20021004 |
Access Date | 2024, May 08 |
Secondary Type | PRE LN |
Number of Files | 1 |
Size | 172 KiB |
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2. Context | |
Author | 1 Carrara, Valdemir 2 Rios Neto, Atair |
Group | 1 DMC-INPE-MCT-BR |
Editor | Prado, Antonio Fernando Bertachini de Almeida |
Book Title | Advances in Space Dynamics |
City | São José dos Campos |
Pages | 272-282 |
Series Title | Advances 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 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | finaldraft |
Keywords | ENGENHARIA E TECNOLOGIA ESPACIAL attitude control |
Abstract | Neural 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. |
Area | ETES |
Arrangement | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDMC > Satellite attitude acquisition... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
Target File | 2000_carrara.pdf |
User Group | administrator |
Visibility | shown |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/446AF4B |
Host Collection | sid.inpe.br/banon/2001/04.03.15.36 |
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6. Notes | |
Empty Fields | affiliation 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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