Manuel Gräber
Technische Universität Braunschweig, Braunschweig, Germany
Christian Kirches
Interdisciplinary Center for Scientific Computing (IWR), Heidelberg University, Germany
Dirk Scharff
TLK-Thermo GmbH, Braunschweig, Germany
Wilhelm Tegethoff
Technische Universität Braunschweig, Braunschweig/TLK-Thermo GmbH, Braunschweig, Germany
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http://dx.doi.org/10.3384/ecp12076781Published in: Proceedings of the 9th International MODELICA Conference; September 3-5; 2012; Munich; Germany
Linköping Electronic Conference Proceedings 76:80, p. 781-790
Published: 2012-11-19
ISBN: 978-91-7519-826-2
ISSN: 1650-3686 (print), 1650-3740 (online)
Based on the standardized model exchange format Functional Mock-up Interface (FMI) an software framework is presented for prototyping of nonlinear model predictive control (NMPC) loops. Arising optimal control problems are solved by an efficient implementation of the direct multiple shooting method; which is especially suitable for nonlinear and stiff system models. Using co-simulation optimizer; plant and estimator can be coupled to a closed NMPC loop. Several stages of a control design process are supported: from virtual simulation experiments to real plants with prototype NMPC controllers. Energy efficient control of vapor compression cycles is presented as example application of the proposed methods.
