Adaptive Control Strategies For A Class Of Recycled Depollution Bioprocesses

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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