Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system
Jörn Tebbe , Thomas Pawlik , Marc Trilling-Haasler , Jannis Löbner , Markus Lange-Hegermann und Jan Schneider,
Jul 2023
Cyber-physical production systems have emerged with the rise of Industry 4.0 in different industrial fields. Especially the food sector, where inhomogeneous input products like beer/yeast suspensions with different qualities and properties have yet slowed down automation, has potential for this evolution. This contribution presents optimization methods for a dynamical cross-flow filtration plant which is driven by an advanced control concept in combination with data driven product monitoring via inline near infrared spectroscopy (NIR) in order to improve energy savings and filtration performance. Using a hierarchical control and optimization structure, the non stationary batch process is steered towards a high production rate with low energy consumption for a variety of different input products.
| author | = | {Tebbe, Jörn and Pawlik, Thomas and Trilling-Haasler, Marc and Löbner, Jannis and Lange-Hegermann, Markus and Schneider, Jan}, |
| title | = | {Holistic optimization of a dynamic cross-flow filtration process towards a cyber-physical system}, |
| booktitle | = | {2023 IEEE 21st International Conference on Industrial Informatics (INDIN)}, |
| year | = | {2023}, |
| editor | = | {}, |
| volume | = | {}, |
| series | = | {}, |
| pages | = | {1-7}, |
| address | = | {}, |
| month | = | {Jul}, |
| organisation | = | {}, |
| publisher | = | {IEEE}, |
| note | = | {}, |