A Robust Model-Based Control Approach for Online Optimal Feedback Control of Polymerization Reactors-Application to Polymerization of Acrylamide-Water-Potassium Persulfate (KPS) System

Abstract

This contribution deals with the formulation and implementation of optimal nonlinear control strategies for controlling polymerization reactors in free radical polymerization. A multi objective optimization problem is first formulated to determine optimal trajectories for a range of target products. Alternative nonlinear control strategies are then formulated for controlling material concentrations and molar mass distributions (MMD) to robustly achieve the desired polymer properties. The strategies are based on the nonlinear input-output linearizing geometric approach which takes into account the nonlinear dynamics of the processes, formalized in the general dynamic model. Control case studies are discussed and implemented using different manipulated variables to force the system along the optimal targets. Performance of the controller is evaluated in each case and results are provided through investigations into the free radical polymerization of the acrylamide in water using potassium persulfate as initiator.