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A Nonlinear Adaptive Controller For A Fed-Batch Fermentation Process

Authors
  • Emil Petre

    University of Craiova, Department of Automatic Control

Abstract
A nonlinear adaptive controller for controlling a nonlinear and time-varying fed-batch fermentation process involving one limiting substrate for biomass growth and product synthesis is proposed. More exactly, in the context of a large class of fed-batch bioreactors for which dynamical kinetics are not exactly known and time-varying and not all the state variables are measurable, for the regulation of the substrate concentration, based on input-output state feedback linearization technique, a nonlinear adaptive control algorithm is proposed. A recursive leastsquares algorithm with forgetting factor for the on-line estimation of the unknown parameters is proposed. The stability and convergence properties of this algorithm are proved provided that the regressor matrix is persistently exciting. Computer simulations performed under identical circumstances are included in order to demonstrate the performances of this controller compared to an exactly nonlinear linearizing controller.
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Published
2005-12-31
Section
Articles