Adaptive Control Strategies For A Class Of Recycled Depollution Bioprocesses

Emil Petre, Constantin Marin, Dan Selisteanu

Abstract


This paper presents the design and the analysis of some multivariable adaptive
nonlinear control strategies for a class of depollution fermentation processes that are carried out
in recycle bioreactors. The controller design is based on the input-output linearization technique.
The resulted control methods are applied in depollution control problem in the case of the
activated sludge process for which dynamical kinetics are strongly nonlinear and not exactly
known. More precisely, the problem of adaptive controlling of two reactant concentrations with
two control inputs is considered and is illustrated by the mentioned process. Simulation results are
included to evaluate the performances of the designed controllers.

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