Title
A framework for nonlinear model-predictive control using object-oriented modeling with a case study in power plant start-up
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.
Year
DOI
Venue
2013
10.1109/CACSD.2013.6663487
Computer Aided Control System Design
Keywords
Field
DocType
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
Notation,Object-oriented programming,Computer science,Control theory,Model predictive control,Control engineering,Parametric statistics,Modelica,Nonlinear model,Optimization problem,Power station
Conference
Citations 
PageRank 
References 
2
0.71
3
Authors
4
Name
Order
Citations
PageRank
Larsson, P.-O.120.71
Casella, F.220.71
Magnusson, F.320.71
Andersson, J.481.24