Computational tools for the advanced control of periodic processes - Application to a chromatographic separation
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2016 Elsevier B.V. In this work we focus on the development of advanced, model-based controllers for periodic processes and we demonstrate their operation capabilities using the example of a chromatographic separation process. We demonstrate the design of a multi-parametric controller for the Multicolumn Countercurrent Solvent Gradient Purification (MCSGP) process, a semi-continuous, two-column, periodic chromatographic separation process, governed by a periodic operation profile, linked to production of monoclonal antibodies. For the controller development we use PAROC framework and software platform. The designed controllers are tested in-silico, against the process model and demonstrate stable operation, characterized by cyclic input profiles.