Model-Based Optimization And Control Of Chromatographic Processes

: This contribution presents an integrated approach to the optimal operation and automatic control of chromatographic separation processes in batch elution mode as well as in continuous SMB operation. The new approach is based on computationally efficient simulation models and combines techniques from mathematical optimization, parameter estimation and control theory. The resulting algorithms were implemented in an industrial standard control system and the capability of the proposed control approach is demonstrated on the separation of fructose and glucose, both in batch and SMB operation mode. Keywords: Chromatographic separation, simulated moving bed, process control, dynamic optimization, parameter estimation. 1. INTRODUCTION Chromatographic separation processes are an emerging technology for the separation of Life Science products, such as pharmaceuticals, food, and fine chemicals. To improve the economic viability, a countercurrent operation is often desirable, but the r..