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Model based control of a liquid swelling constrained batch reactor subject to recipe uncertainties

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journal contribution
posted on 2009-12-11, 14:56 authored by Levente L. Simon, Zoltan NagyZoltan Nagy, Konrad Hungerbuhler
This work presents the application of nonlinear model predictive control (NMPC) to a simulated industrial batch reactor subject to safety constraint due to reactor level swelling, which can occur with relatively fast dynamics. Uncertainties in the implementation of recipes in batch process operation are of significant industrial relevance. The paper describes a novel control-relevant formulation of the excessive liquid rise problem for a two-phase batch reactor subject to recipe uncertainties. The control simulations are carried out using a dedicated NMPC and optimization software toolbox Optcon which implements state of the art technologies. The open-loop optimal control problem is computed using the multipleshooting technique and the arising non-linear programming problem is solved using a sequential quadratic programming (SQP) algorithm tailored for large scale problems, based on the freeware optimization environment HQP. The fast response of the NMPC controller is guaranteed by the initial value embedding and real time iteration technologies. It is concluded that the OptCon implementation allows small sampling times and the controller is able to maintain safe and optimal operation conditions, with good control performance despite significant uncertainties in the implementation of the batch recipe.

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Chemical Engineering

Citation

SIMON, L.L., NAGY, Z.K. and HUNGERBUHLER, K., 2009. Model based control of a liquid swelling constrained batch reactor subject to recipe uncertainties, Chemical Engineering Journal, 153 (1-3), pp. 151-158.

Publisher

© Elsevier

Version

  • AM (Accepted Manuscript)

Publication date

2009

Notes

This is a journal article. It was published in the Chemical Engineering Journal [© Elsevier] and the definitive version is available www.elsevier.com/locate/cej

ISSN

1385-8947

Language

  • en

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