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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/2004/08.23.10.28
Last Update2004:08.23.03.00.00 (UTC) administrator
Metadata Repositorysid.inpe.br/marciana/2004/08.23.10.28.25
Metadata Last Update2021:02.03.17.56.26 (UTC) administrator
Secondary KeyINPE-11233-PRE/6682
Citation KeyAraujoFoMaca:1999:ThVaSy
TitleThermal Vacuum System Controlled by Fuzzy Reasoning
FormatPapel, On-line.
Year1999
Secondary Date07-1999
Access Date2024, May 19
Secondary TypePRE CI
Number of Files1
Size131 KiB
2. Context
Author1 Araujo Filho, José Ernesto de
2 Macau, Elbert Einstein Nehrer
Resume Identifier1
2 8JMKD3MGP5W/3C9JGUT
Group1 LIT-INPE-MCT-BR
Conference NameProc.3rd World Multiconference on Systemics, Cybernetics and Informatics. e International Conference on Information Systems Analysis and Symthesis, 5th.
Conference LocationOrlando, EUA
Datejuly
PublisherINPE
Volume7
Pages1-7
Book TitleProceedings
History (UTC)2021-02-03 17:56:26 :: administrator -> marciana :: 1999
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsFuzzy Reasoning
Thermal-Vacuum Chamber
Space Sector
Fuzzy Control
Supervising System and Expert Systems
AbstractFuzzy control systems represent techniques to deal with qualitative information in a rigorous way by using linguistic variable as a set of rules. An attribute of fuzzy control is to model these rules by incorporating the "experience" of the human expertise. This work focuses on thermal vacuum control system. When a space system is been developed it undergoes a test qualification program in order to guarantee that it will operate efficiently. The environmental condition of vacuum with solar exposition is produced in a test chamber. The environmental variations must follow a sequence that is expected during the orbit for each subsystem inside the spatial system and after for the whole system. The task of modeling the chamber and the specimen each time that a test is been carrying out seems to be hard. One alternative approach to control complex dynamic systems is to employ fuzzy controllers that make use of linguistic terms to represent its variables and parameters instead of differential mathematical models. Linguistic rules, which describe the operator’s control strategy, are built to form the knowledge base. A control algorithm is developed to supervise the behavior of the system during the test making the decision and control process easier.
AreaETES
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > COLIT > Thermal Vacuum System...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
data URLhttp://urlib.net/ibi/sid.inpe.br/marciana/2004/08.23.10.28
zipped data URLhttp://urlib.net/zip/sid.inpe.br/marciana/2004/08.23.10.28
Languageen
Target FileAraujo_IsasSci-99.pdf
User Groupadministrator
jefferson
Visibilityshown
Copy HolderSID/SCD
5. Allied materials
Next Higher Units8JMKD3MGPCW/444BQ9E
Citing Item Listsid.inpe.br/bibdigital/2021/01.30.18.11 3
sid.inpe.br/mtc-m21/2012/07.13.14.45.07 1
Host Collectionsid.inpe.br/banon/2003/08.15.17.40
6. Notes
NotesFuzzy Reasoning, Thermal-Vacuum Chamber, Space Sector, Fuzzy Control, Supervising System and Expert Systems.
Empty Fieldsaffiliation archivingpolicy archivist callnumber contenttype copyright creatorhistory descriptionlevel dissemination documentstage doi e-mailaddress edition editor electronicmailaddress identifier isbn issn label lineage mark mirrorrepository nextedition numberofvolumes orcid organization parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readergroup readpermission rightsholder schedulinginformation secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype
7. Description control
e-Mail (login)marciana
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