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

• Published in: Chemical engineering journal (Lausanne, Switzerland : 1996) Vol. 153; no. 1; pp. 151 - 158
• Main Authors: Simon, Levente L., Nagy, Zoltan K., Hungerbuhler, Konrad
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier B.V 01.11.2009; Elsevier
• Subjects: 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; 1873-3212
• DOI: 10.1016/j.cej.2009.06.003

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.