DocumentCode :
643470
Title :
A framework for nonlinear model-predictive control using object-oriented modeling with a case study in power plant start-up
Author :
Larsson, Per-Ola ; Casella, Francesco ; Magnusson, F. ; Andersson, Jon ; Diehl, Moritz ; Akesson, Johan
Author_Institution :
Dept. of Autom. Control, Lund Univ., Lund, Sweden
fYear :
2013
fDate :
28-30 Aug. 2013
Firstpage :
346
Lastpage :
351
Abstract :
In t his paper, nonlinear model predictive control (NMPC) is applied to the start-up of a combined-cycle power plant. An object-oriented first-principle model library expressed in the high-level language Modelica has been written for the plant and used to set up the simulation and optimization models. The NMPC optimization problems are both encoded, using a high-level notation, and solved in the open-source framework JModelica.org. The results demonstrate the effectiveness of the framework and its high-level description. It bridges the gap between an intuitive physical modeling format and state of the art numerical optimization algorithms. Promising closed-loop control results are shown for plant start-up when the NMPC model contains parametric errors and the simulation model, corresponding to the real plant, is subject to disturbances.
Keywords :
closed loop systems; combined cycle power stations; control engineering computing; nonlinear control systems; object-oriented programming; optimisation; predictive control; public domain software; specification languages; JModelica.org; NMPC model; NMPC optimization problems; case study; closed-loop control; combined-cycle power plant; high-level description; high-level language; high-level notation; intuitive physical modeling format; nonlinear model-predictive control; numerical optimization algorithms; object-oriented first-principle model library; object-oriented modeling; open-source framework; optimization model; parametric errors; power plant start-up; simulation model; Load modeling; Mathematical model; Numerical models; Object oriented modeling; Optimization; Stress; Turbines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Aided Control System Design (CACSD), 2013 IEEE Conference on
Conference_Location :
Hyderabad
Type :
conf
DOI :
10.1109/CACSD.2013.6663487
Filename :
6663487
Link To Document :
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