Experimental Comparision of Model Predictive Control Strategies for the Production of Antibiotics in Fed-batch Fermentations
نویسنده
چکیده
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. Copyright c © 2005 IFAC
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تاریخ انتشار 2005