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Optimizing control of simulated moving bed processes

Simulated moving bed (SMB) is a state of the art technology employed for difficult separation tasks in the pharmaceutical and fine chemical industry. The optimal and robust operation of SMB processes is a challenging problem because of the uncertainties in the system parameters and its complex dynamics, e.g., its hybrid nature due to the inlet/outlet port switches with nonlinearities and delays. Our group has developed in the last six years a model predictive controller that integrates the online optimization and control of SMB units. A significant feature of the controller is that only minimal information about the system parameters has to be provided, making it highly portable from one separation task to another. This talk will first introduce the underlying working principles and a shortcut design tool for the qualitative understanding of the SMB process. The control concept will then be presented in detail focusing on the development of the SMB model for control purposes. Finally some experimental work carried out in our SMB unit in Hönggerberg will be presented.

Type of Seminar:
IfA Seminar
Cristian Grossmann
Jul 26, 2007   11am

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