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

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...

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Veröffentlicht in:Chemical engineering journal (Lausanne, Switzerland : 1996) Jg. 153; H. 1; S. 151 - 158
Hauptverfasser: Simon, Levente L., Nagy, Zoltan K., Hungerbuhler, Konrad
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier B.V 01.11.2009
Elsevier
Schlagworte:
Applications of mathematics to chemical engineering. Modeling. Simulation. Optimization
Applied sciences
Batch
Chemical engineering
Dynamic simulation
Exact sciences and technology
Hydrodynamics of contact apparatus
Multiphase flow
Multiphase reactors
Optimization
Process control
Reactors
Safety
Dynamic simulation
Multiphase reactors
Multiphase flow
Batch
Process control
Optimization
Uncertainty
Samplings
Modeling
Batchwise
Safety
Sampling
Dynamic model
Reactor
Mathematical programming
Predictive control
Swelling
Quadratic programming
Real time
Algorithm
Real time system
Optimal control
Non linear model
Open loop
Software
ISSN:1385-8947, 1873-3212
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Zusammenfassung: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 efficient numerical algorithms. The open-loop optimal control problem is computed using the multiple-shooting technique and the arising nonlinear 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.
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ISSN:1385-8947
1873-3212
DOI:10.1016/j.cej.2009.06.003