Optimizing Control of an Improved Single-Column Chromatographic Process for the Separation of Enantiomers: Experimental Implementation

This paper reports experimental implementation of a Model Predictive Controller (MPC) for an improved single column chromatographic (ISCC) process.  MPC scheme was developed upon receding horizon strategy that utilizes a linearized process model identified from a detailed model with experimental system parameters.  The performance of the developed ‘cycle to cycle’ optimizing controller was assessed for the separation of guaifenesin enantiomers on Chiralcel OD column with heptane-ethanol mobile phase. The integrated ISCC process was characterized by measurement of overall bed void fraction and isotherm parameters. Integration of all sections, including the online monitoring system, was evaluated and ensured by open-loop operation. Finally, under closed-loop operation, performance was assessed through both simulation and experiments for set point tacking and disturbance rejection. The results show that the designed ‘cycle-to-cycle’ controller is able to fulfil the product specification, reject disturbances, and at the same time, optimize the process performance.