Smooth extremum-seeking control for fed-batch processes.

MARTIN JAMILIS; FABRICIO GARELLI; HERNÁN DE BATTISTA

Trondheim

Congreso; 11th IFAC Symposium on Dynamics and Control of Process Systems, including Biosystems (DYCOPS-CAB 2016); 2016

IFAC

Many biotechnological processes have optimal substrate concentrations where amaximum growth rate is achieved. In this work an extremum seeking controller and a gradientestimator are proposed to maximize the growth rate in fed-batch bioprocesses even when thesubstrate to growth rate map is unknown. Both the controller andestimator are obtained withhigh order sliding mode algorithms. Stability proofs are given, and tools to tune the algorithmsin terms of bounds of the hessian of the map are derived.