Linked Life Data

19700825

Source:http://linkedlifedata.com/resource/pubmed/id/19700825

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2009-8-24
pubmed:abstractText
This paper deals with the global control of the Riera Blanca catchment in the Barcelona sewer network using a predictive optimal control approach. This catchment has been modelled using a conceptual modelling approach based on decomposing the catchments in subcatchments and representing them as virtual tanks. This conceptual modelling approach allows real-time model calibration and control of the sewer network. The global control problem of the Riera Blanca catchment is solved using a optimal/predictive control algorithm. To implement the predictive optimal control of the Riera Blanca catchment, a software tool named CORAL is used. The on-line control is simulated by interfacing CORAL with a high fidelity simulator of sewer networks (MOUSE). CORAL interchanges readings from the limnimeters and gate commands with MOUSE as if it was connected with the real SCADA system. Finally, the global control results obtained using the predictive optimal control are presented and compared against the results obtained using current local control system. The results obtained using the global control are very satisfactory compared to those obtained using the local control.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
0273-1223
pubmed:author
pubmed:issnType
Print
pubmed:volume
60
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
869-78
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Predictive optimal control of sewer networks using CORAL tool: application to Riera Blanca catchment in Barcelona.
pubmed:affiliation
Automatic Control Department and Industrial Robotics Institute, Universitat Politècnica de Catalunya (UPC), Rambla Sant Nebridi 10, 08222, Terrassa, Spain. vicenc.puig@upc.edu
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't