Regulation of absorption packed column of CO2 using discrete fuzzy input-output linearization

This work deals with modeling and regulation of the absorption packed column of CO2 from a gas mixture using an aqueous solution of monoethanolamine (MEA). We first present a dynamic mathematical model estimating the CO2 and MEA concentrations at column outlets; we compare the model results with the experimental data in the steady state case to validate the model. We first use the classical PI regulation technique to delete step input disturbances, then we present the discrete fuzzy input- output linearization theory that allows system inversion and linearization for a large class of non linear systems and show that pole placement law guarantees error convergence to a reference centered ball. Finally we apply the regulator based on fuzzy linearization to the controlled system and we got in most cases better results than PI regulation.