Optimization-based control strategy for a large-scale polyhydroxyalkanoates production in a fed-batch bioreactor using a coupled PDE–ODE system

Abstract Control strategy development for fed-batch bioreactor (FBBR) plays an important role in the improvement of polyhydroxyalkanoate (PHA) production. To develop a feeding PHA production large-scale FBBR, optimization-based control scheme that considers nutrient dispersion is proposed this work. A coupled partial differential equations and ordinary equation model to describe axial-dispersed well-dispersed microbial dynamics with process constraints. An analytical predictive (AMPC) method applies integrated variables nutrients employed real-time system. The objective regulate concentration at updated set points by adjusting feed rates; disturbance introduced evaluate robustness. Simulation experiments operation are conducted investigate performance developed controller; controlled output designed track corresponding biomass concentration. Results closed-loop regulatory systems showed could provide more productivity (33–38%) compared applied PI controller. test demonstrates system apply updating points, optimal actions promote PHB accumulation handle effectively.