Mostra el registre d'ítem simple

dc.contributorFrey, Georg
dc.contributorBelkhir, Fethi
dc.contributor.authorKraus Cabo, Daniel
dc.date.accessioned2015-03-19T20:00:32Z
dc.date.available2015-03-19T20:00:32Z
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/2099.1/25552
dc.description.abstractIn this thesis, an introduction to Nonlinear Model Predictive Control (NMPC) combining both theory and application is presented. The basis of the NMPC is described to give a general idea how this process control strategy works. For this purpose, two test casestudies are implemented. The first one is a simple two tanks in series to get acquainted with open-source platform the JModelica.org and the Optimica extension.Finally, a more complex example, which consists of solving a start-up problem of a steam boiler using the JModelica framework, is provided. The results demonstrate the effort saved in solving an optimal control problem when using the JModelica framework in comparison to individual, case-specifically arranged solutions.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.publisherUniversität des Saarlandes
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject.lcshPredictive control
dc.subject.lcshNonlinear control theory
dc.titleIntegration of modelica-based models with the JModelica Platform
dc.typeBachelor thesis
dc.subject.lemacControl predictiu
dc.subject.lemacControl no lineal, Teoria de
dc.rights.accessOpen Access
dc.audience.educationlevelGrau
dc.audience.mediatorEscola Tècnica Superior d'Enginyeria Industrial de Barcelona
dc.provenanceAquest document conté originàriament altre material i/o programari no inclòs en aquest lloc web
dc.contributor.covenanteeUniversität des Saarlandes
dc.description.mobilityOutgoing


Fitxers d'aquest items

Thumbnail

Aquest ítem apareix a les col·leccions següents

Mostra el registre d'ítem simple