Experimental comparision of model predictive control strategies for the production of antibiotics in fed-batch fermentations
| Authors: | Heine Thomas, TU Berlin, Germany
Kawohl Michael, TU Berlin, Germany
King Rudibert, TU Berlin, Germany |
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| Topic: | 8.4 Control of Biotechnological Processes |
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| Session: | From Drug Design to Production: Control Issues |
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| Keywords: | NMPC, EKF, CEKF, nonlinear optimal control, online optimization, fed-batch fermentation, nikkomycin |
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Abstract
The main objective of the presented work is to compare two model predictive control strategies by applying them to an antibiotic production in a fed-batch fermentation process. The reactor is modelled as a nonlinear biological compartment system with 13 states. The well-known nonlinear model predictive control (NMPC) is compared with a control strategy based on online optimization of the full trajectory. The control strategies are applied to real fermentation processes, which are strongly disturbed by a temperature shift. To extend the comparision, two state estimators, the Extended-Kalman-Filter (EKF) and the Constrained-EKF (CEKF), are used.
