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Optimizing control of drug purification processes.


C. Grossmann

IfA Internal Seminar Series, ETH Zurich

In the last years the process control group at ifa has been an active player in the field of automatic control for drug purification processes. The application of MPC to optimize and control this type of processes will be presented by using two examples: the separation of a chiral drug compound and the purification of monoclonal antibodies. The first example is a controller developed for simulated moving bed processes. The main focus will be on the experimental implementation of the controller in our laboratory in Hönggerberg and the results of the closed loop experiments. I will show some of the technical difficulties and challenges encountered during the implementation. The second example presents a novel process developed at ETH for the purification of monoclonal antibodies. The modeling and control problem formulation we have recently proposed will be sketched. The first simulation results will be shown. Finally, a method for system identification with missing data will be shortly illustrated. The method is based on nuclear norm regularization and is shown to outperform the conventional methods for system ID with missing data for some problems of special relevance in the chemical industry.


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