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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m16b.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Repositorydpi.inpe.br/ce@80/2007/03.05.22.30   (restricted access)
Last Update2007:04.09.13.50.20 (UTC) administrator
Metadata Repositorydpi.inpe.br/ce@80/2007/03.05.22.30.42
Metadata Last Update2018:06.05.03.33.49 (UTC) administrator
Citation KeyBriguenteSantAmbr:2007:NeNeMo
TitleNeural Network and Model-Predictive Control for Continuous Neutralization Reactor Operation
FormatPrint; CD-ROM; On-line.
Year2007
Access Date2024, Apr. 28
Secondary TypeCI
Number of Files3
Size3417 KiB
2. Context
Author1 Briguente, Flavio Perpetuo
2 Santos, Marcus Venicius
3 Ambrozin, Andreia V. Pepe
Affiliation1 Monsanto do Brasil Ltda
2 Monsanto do Brasil Ltda
3 Monsanto do Brasil Ltda
Author e-Mail Address1 flavio.p.briguente@monsanto.com
2 marcus.v.santos@monsanto.com
3 andreia.v.ambrozin@monsanto.com
EditorLoureiro, Geilson
Curran, Ricky
e-Mail Addressflavio.p.briguente@monsanto.com
Conference NameISPE International Conference on Concurrent Engineering, 14 (CE 2007).
Conference LocationSão José dos Campos
Date2007, July 16-20
PublisherInstituto Nacional de Pesquisas Espaciais (INPE)
Publisher CitySão José dos Campos
Pages299-308
Book TitleProceedings
OrganizationInstituto Nacional de Pesquisas Espaciais (INPE)
History (UTC)2007-03-05 22:30:42 :: flavio.p.briguente@monsanto.com -> ce2007 ::
2007-03-29 12:37:04 :: ce2007 -> flavio.p.briguente@monsanto.com ::
2007-04-09 14:03:32 :: flavio.p.briguente@monsanto.com -> ce2007 ::
2007-04-12 21:44:09 :: ce2007 -> administrator ::
2007-05-18 15:21:39 :: administrator -> ce2007 ::
2007-05-21 19:34:33 :: ce2007 -> administrator ::
2007-12-04 15:46:16 :: administrator -> flavio.p.briguente@monsanto.com ::
2007-12-04 19:50:00 :: flavio.p.briguente@monsanto.com -> administrator ::
2018-06-05 03:33:49 :: administrator -> marciana :: 2007
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
KeywordsModel-predictive control
Neural networks
Virtual on-line analyzers
Moisture
Process variability
AbstractThis paper outlines neural network non-linear models to predict moisture in real time as a virtual on line analyzer (VOA). The objective is to reduce the moisture variability in a continuous neutralization reactor by implementing a model-predictive control (MPC) to manipulate the water addition. The acid-base reaction takes place in right balance of raw materials. The moisture control is essential to the reaction yield and avoids downstream process constraints. The first modeling step was to define variables that have statistical correlation and high effect on the predictable one (moisture). Then, it was selected enough historical data that represents the plant operation in long term. Outliers like plant shutdowns, downtimes or non-usual events were removed from the database. The VOA model was built by training the digital control system neural block using those historical data. The MPC was implemented considering constraints and disturbances variables to establish the process control strategy. Constraints were configured to avoid damages in equipments. Disturbances were defined to cause feed forward action. The MPC receives the predictable moisture from VOA and anticipates the water addition control. This process is monitored via computer graphic displays. The project achieved a significant reduction in moisture variability and eliminated off-grade products.
AreaETES
TypeCollaborative concurrent engineering methodologies, methods and tools
doc Directory Contentaccess
source Directory Content
Artigo CE.PDF 05/03/2007 19:30 564.8 KiB 
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filepaper.PDF
User Groupadministrator
flavio.p.briguente@monsanto.com
administrator
Visibilityshown
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Host Collectionlcp.inpe.br/ignes/2004/02.12.18.39
cptec.inpe.br/walmeida/2003/04.25.17.12
6. Notes
Mark1
Empty Fieldsarchivingpolicy archivist callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage doi edition group identifier isbn issn label lineage mirrorrepository nextedition nexthigherunit notes numberofvolumes orcid parameterlist parentrepositories previousedition previouslowerunit progress project readergroup resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark serieseditor shorttitle sponsor tertiarymark tertiarytype url versiontype volume
7. Description control
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