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Integration of modelica-based models with the JModelica Platform
Kraus Cabo, Daniel
Frey, Georg; Belkhir, Fethi
In 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 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.
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
Predictive control
Nonlinear control theory
Control predictiu
Control no lineal, Teoria de
Attribution-NonCommercial-NoDerivs 3.0 Spain
Universitat Politècnica de Catalunya;
Universität des Saarlandes

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