A New Adaptive Control Strategy for a Class of Anaerobic Wastewater Treatment Bioprocesses

摘要

This paper presents the design and the analysis of some nonlinear adaptive control strategies for a class of anaerobic depollution bioprocesses that are carried out in continuous stirred tank bioreactors. The adaptive control structure is based on the nonlinear model of the process and is achieved by combining a linearizing control law with a new state observer and a parameter estimator which play the role of the software sensors for the on-line estimation of biological states and parameter variables of interest of the bioprocess. The effectiveness and performance of both estimation and control algorithms are illustrated by simulation results applied in the case of an anaerobic wastewater treatment bioprocess for which dynamical kinetics are strongly nonlinear and not exactly known, and not all the state variables are measurable.