NONLINEAR MPC FOR RECOMBINANT ZYMOMONAS MOBILIS FED-BATCH ETHANOL FERMENTATION

摘要

This work presents the development of an unstructured kinetic model incorporating the differing degrees of product inhibition on the kinetic rates of recombinant Zymomonas mobilis fermentation. A mechanism for the inhibition of two competing substrates cellular uptake via membrane transport is proposed. The model was utilized in a nonlinear model predictive control (NMPC) algorithm to control product concentration during fed-batch fermentation. Using optimal feeding policy determined online by the NMPC controller, the volumetric productivity of ethanol was improved by 16.6% relative to the equivalent batch operation when the same final ethanol concentration was reached.