Integration of modelica-based models with the JModelica Platform
Document typeBachelor thesis
Rights accessOpen Access
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 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.
SubjectsPredictive control, Nonlinear control theory, Control predictiu, Control no lineal, Teoria de
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