New type of process control system for bioprocesses with model-assisted optimization tools

Journal
Chemie - Ingenieur - Technik  
Volume
97
Issue
6
Start Page
632
End Page
641
Citation
Chemie-Ingenieur-Technik 97 (6): 632-641 (2025)
Publisher DOI
10.1002/cite.202500028
Scopus ID
2-s2.0-105004184855
Publisher
Wiley
The development of effective control strategies for bioprocesses faces engineers with major challenges. Bioreactor systems must independently control changing conditions – a task that requires innovative automation tools such as the WinErs process control and simulation system. This integrates complex process models, enables simulations and parameter estimations, and offers control strategies for processes with multiple inputs and outputs. The WinErs Data Lake collects extensive process data, while model-assisted tools support the optimization of control variables. It provides an effective solution to bridge the gap between laboratory and industry.
Subjects
Model-assisted design of experiments (mDoE), Modellassistierte Prozessoptimierung, Nonlinear model-predictive control (NMPC), Prozessleitsystem
Model-assisted control, Model-assisted design of experiments (mDoE), Nonlinear model-predictive control (NMPC), Process control system
DDC Class
600: Technology