Jan Gall
IRT – Institut für Regelungstechnik, Germany
Dirk Abel
IRT – Institut für Regelungstechnik, Germany
Nils Ahlbrink
DLR – Deutsches Zentrum für Luft- und Raumfahrt, Germany
Robert Pitz-Paal
DLR – Deutsches Zentrum für Luft- und Raumfahrt, Germany
Joel Andersson
Electrical Engineering Department (ESAT-SCD), Belgium
Moritz Diehl
Electrical Engineering Department (ESAT-SCD), Belgium
Christiano Teixeira Boura
SIJ – Solar-Institut Jülich, Germany
Mark Schmitz
SIJ – Solar-Institut Jülich, Germany
Bernhard Hoffschmidt
SIJ – Solar-Institut Jülich, Germany
Ladda ner artikel
http://dx.doi.org/10.3384/ecp09430053Ingår i: Proceedings of the 7th International Modelica Conference; Como; Italy; 20-22 September 2009
Linköping Electronic Conference Proceedings 43:54, s. 490-495
Publicerad: 2009-12-29
ISBN: 978-91-7393-513-5
ISSN: 1650-3686 (tryckt), 1650-3740 (online)
In this paper; the overall modeling approach for an optimized control of a hot-gas cycle with its different components for solar thermal power plants is pointed out.
For control purposes a linear model-based controller (MPC) was implemented in Modelica based on an external state-of-the-art QP solver linked to the Modelica model.
[1] Ahlbrink N.; Belhomme B.; Pitz-Paal R.: Modeling and Simulation of a Solar Thermal Power Plant with Open Volumetric Air Receiver. Conference Proceedings; Modelica Conference 2009; Como
[2] Casella F.; Otter M.; Proelss K.; Richter C.; Tummescheid H.: The Modelica Fluid and Media library for modeling of incompressible and compressible thermo-fluid pipe networks. Conference Proceedings; Modelica Conference 2006; Vienna; September 4-5 2006
[3] Tummescheid H.: Design and Implementation of Object-Oriented Model Libraries using Modelica. Thesis; Department of Automatic Control; Lund Institute of Technology; Lund; August 2002
[4] Hirsch T.: Dynamische Systemsimulation und Auslegung des Abscheidesystems für die solare Direktverdampfung in Parabolrinnenkollektoren. Fortschrittsberichte VDI; Reihe 6; Nr. 535; VDI Verlag; Düsseldorf; 2005
[5] www.qpoases.org
[6] Ferreau H. J.; Bock H. G.; Diehl M.: An online active set strategy to overcome the limitations of explicit MPC. International Journal of Robust and Nonlinear Control 18:816-830 (2008).
doi: 10.1002/rnc.1251.
[7] Casella F.; Donida F.; Lovera M.: Beyond Simulation: Computer Aided Control System Design Using Equation-Based Object Oriented Modelling for the Next Decade. EOOLT 2008; Paphos
[8] López-Martínez M.; Vargas M.; Rubio F. R.: Vision-Based System for the Safe Operation of a Solar Power Tower Plant. Proceedings of the 8th Ibero-American Conference on AI: Advances in Artificial Intelligence; Vol. 2527; pp. 943 – 952; 2002
[9] Maciejowski J. M.: Predictive Control with Constraints. Prentice Hall; 2002
[10] Fritzson P.: Principles of Object-Oriented Modeling and Simulation with Modelica 2.1; Wiley-IEEE Press; 2003
[11] Åkesson; J.: Optimica – An Extension of Modelica Supporting Dynamic Optimization; Conference Proceedings; Modelica 2008
[12] www.acadotoolkit.org
