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APPLICATION OF OPTIMIZATION ALGORITHMS TO NONLINEAR MPC
Frode Martinsen* Lorenz T. Biegler** Bjarne A. Foss*
* Department of Engineering Cybernetics, NTNU, 7491 Trondheim,
Norway. Fax (+47) 73594399
E-mail: frode.martinsen@itk.ntnu.no, bjarne.a.foss@itk.ntnu.no
** Department of Chemical Engineering, Carnegie Mellon University,
Pittsburgh, PA 15213. Fax (+1) 4122687139
E-mail: biegler@cmu.edu
This paper investigates application of SQP optimization algorithms to nonlinear model predictive control. It considers feasible vs. infeasible path methods, sequential vs. simultaneous methods and reduced vs. full space methods. The suitable choices between these various strategies are assessed informally through a case study.
Keywords: model predictive control, optimization
Session slot T-Th-E11: Nonlinear Model Predictive Control/Area code 7a : Chemical Process Control
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