Please use this identifier to cite or link to this item:
logo share SHARE BASE
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE

Modelling approaches for MPC of large-scale sewage systems

AuthorsOcampo-Martínez, Carlos CSIC ORCID ; Puig, Vicenç CSIC ORCID
KeywordsModel-based predictive control
Hybrid systems
Piece-wise linear functions
Non-linear optimization
Sewer networks
Linear programming
Linear control systems
Nonlinear programming
Predictive control
Issue Date2009
CitationTechnical Report IRI-TR-09-01, Institut de Robòtica i Informàtica Industrial, CSIC-UPC, 2009.
AbstractIn this report, model predictive control (MPC) of large-scale sewage systems is addressed considering different modeling approaches that include several inherent continuous/discrete phenomena (over ows in sewers and tanks) and elements (weirs) in the system that result in distinct behavior depending on the dynamic state (ow/volume) of the network. These behaviors can not be neglected nor can be modeled by a pure linear representation. In order the MPC controller takes into account these phenomena and elements, a modeling approach based on piece-wise linear functions is proposed and compared against a hybrid modeling approach previously reported by the authors. Control performance results and associated computation times of the closed-loop scheme considering both modeling approaches are compared by using a real case study based on the Barcelona sewer network.
Appears in Collections:(IRII) Informes y documentos de trabajo

Files in This Item:
File Description SizeFormat
doc1.pdf1,22 MBAdobe PDFThumbnail
Show full item record
Review this work

Page view(s)

checked on May 18, 2022


checked on May 18, 2022

Google ScholarTM


WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.