Abstract
In this contribution, a non-linear predictive control strategy for the Hashimoto SMB process that combines reaction and continuous chromatographic separation is discussed and applied to a pilot plant. The controller computes optimal control variables (flow rates and the switching time) such that an economic objective is optimized over a moving horizon. The purity requirements of the product streams are implemented as constraints and not as controlled variables. The concept is extended to the case of high purities. Simulative and experimental results are presented for the example of the racemization of Tröger's base.
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