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1. Identity statement
Reference TypeJournal Article
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/449CGME
Repositorysid.inpe.br/mtc-m21c/2021/03.02.16.14   (restricted access)
Last Update2021:03.02.16.14.37 (UTC) administrator
Metadata Repositorysid.inpe.br/mtc-m21c/2021/03.02.16.14.37
Metadata Last Update2022:04.03.19.24.29 (UTC) administrator
DOI10.1016/j.asr.2020.12.031
ISSN0273-1177
1879-1948
Citation KeyRodriguesOlivAmbrChag:2021:MoSaBa
TitleModeling satellite battery aging for an operational satellite simulator
Year2021
MonthMar.
Access Date2025, June 01
Type of Workjournal article
Secondary TypePRE PI
Number of Files1
Size3549 KiB
2. Context
Author1 Rodrigues, Italo Pinto
2 Oliveira, Priscylla Angélica da Silva
3 Ambrósio, Ana Maria
4 Chagas, Ronan Arraes Jardim
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JGH7
Group1 CSE-ETES-DIPGR-INPE-MCTI-GOV-BR
2 CSE-ETES-DIPGR-INPE-MCTI-GOV-BR
3 DISEP-CGCE-INPE-MCTI-GOV-BR
4 DISEP-CGCE-INPE-MCTI-GOV-BR
Affiliation1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 italo.rodrigues@inpe.br
2
3 ana.ambrosio@omega7systems.com
4 ronan.arraes@inpe.br
JournalAdvances in Space Research
Volume67
Number6
Pages1981-1999
Secondary MarkB1_INTERDISCIPLINAR B1_GEOCIÊNCIAS B1_ENGENHARIAS_IV B1_ENGENHARIAS_III B1_BIODIVERSIDADE B3_CIÊNCIA_DA_COMPUTAÇÃO B4_ASTRONOMIA_/_FÍSICA C_CIÊNCIAS_BIOLÓGICAS_I
History (UTC)2021-03-02 16:14:37 :: simone -> administrator ::
2021-03-02 16:14:40 :: administrator -> simone :: 2021
2021-03-02 16:15:04 :: simone -> administrator :: 2021
2022-04-03 19:24:29 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
AbstractDuring the satellite's operations, simulation tools perform an important role in ensuring the space mission success. In this sense, the models implemented in the context of an operational satellite simulator that enables analysis of health status and maintenance during operations shall reflect the current satellite behavior with high fidelity. Moreover, it is complicated to obtain all analytical models of a satellite's disciplines, considering its aging. This paper proposes an Artificial Neural Network (ANN) to reproduce the battery voltage behavior of a large sun-synchronous remote sensing satellite, the CBERS-4, currently in operation. Using the genetic algorithm to find the best network architecture of ANN, the neural model for this application presented an error of less than 1%, demonstrating its feasibility to obtain a high fidelity model for an operational simulator enabling extend analyses. The paper addresses advanced techniques aligned with the space industry's future, increasing the ability to analyze a large amount of data and improve the space system's operation.
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Arrangement 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > CSE > Modeling satellite battery...
Arrangement 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCE > Modeling satellite battery...
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4. Conditions of access and use
Languageen
Target Filerodrigues_modeling.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Archiving Policydenypublisher denyfinaldraft24
Read Permissiondeny from all and allow from 150.163
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F35BSP
8JMKD3MGPCW/46KTFK8
Citing Item Listsid.inpe.br/bibdigital/2013/10.14.22.20 6
sid.inpe.br/bibdigital/2022/04.03.17.52 3
sid.inpe.br/mtc-m21/2012/07.13.14.39.50 2
DisseminationWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
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