Abstract
Abstract This paper deals with dynamic real-time optimization (D-RTO) of a batch reactor where polymer grafting reactions take place. The objective is to determine the on-line reactor temperature profile that minimizes the batch period while meeting terminal constraints on the overall conversion rate and grafting efficiency. An optimization methodology has been developed and successfully applied to the reactor. It combines a constrained and shrinking horizon dynamic optimization method and a moving horizon state estimator within a closed-loop control. The results show very good performances in terms of state estimation, constraints fulfillment and computation load.
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