Direct adaptive control of an anaerobic depollution bioprocess using radial basis neural networks

Authors:
Emil Petre;Dorin Şendrescu;Dan Selişteanu
Affiliations:
Department of Automatic Control, University of Craiova, Craiova, Romania;Department of Automatic Control, University of Craiova, Craiova, Romania;Department of Automatic Control, University of Craiova, Craiova, Romania
Venue:
KES'10 Proceedings of the 14th international conference on Knowledge-based and intelligent information and engineering systems: Part II
Year:
2010

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Abstract

This work deals with the design and analysis of a nonlinear and neural adaptive control strategy for an anaerobic depollution bioprocess. A direct adaptive controller based on a radial basis function neural network used as on-line approximator to learn the time-varying characteristics of process parameters is developed and then is compared with a classical linearizing controller. The controller design is achieved by using an input-output feedback linearization technique. Numerical simulations, conducted in the case of a strongly nonlinear, time varying and not exactly known dynamical kinetics wastewater biodegradation process, are included to illustrate the behaviour and the performance of the presented controller.