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BILINEAR VERSUS LINEAR MPC: APPLICATION TO A POLYMERIZATION PROCESS
H. H. J. Bloemen,* V. Verdult,** T. J. J. van den Boom,**
M. Verhaegen**
* Faculty of Applied Sciences, Kluyver Laboratory for Biotechnology
Delft University of Technology
Julianalaan 67, 2628 BC Delft, The Netherlands
Tel. (+31) 15 2782998 Fax. (+31) 15 2782355
H.Bloemen@tnw.tudelft.nl
** Faculty of Information Technology and Systems
Delft University of Technology
P.O. Box 5031, 2600 GA Delft, The Netherlands
Tel. (+31) 15 2785768 Fax. (+31) 15 2786679
{V.Verdult T.J.J.vandenBoom M.H.G. Verhaegen}@its.tudelft.nl
In this paper a comparison between a linear-model-based and a bilinear-model-based identification and predictive control methodology is presented. Input-output data from a nonlinear first-principles simulation model of the free-radical polymerization of methylmethacrylate are used for black-box identification of a linear and a bilinear model. These black-box models are used within a model-based predictive controller that controls the nonlinear white-box simulation model. The results demonstrate a better performance of the bilinear-model-based methodology compared to the linear-model-based methodology.
Keywords: Bilinear systems, Predictive control, Subspace methods, Polymerization
Session slot T-Th-E11: Nonlinear Model Predictive Control/Area code 7a : Chemical Process Control
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