Non-linear multivariable adaptive control of an activated sludge wastewater treatment process

In this paper a non-linear adaptive feedback-linearizing control is designed for a biological wastewater treatment model. The adaptive control structure is based on the non-linear model of the process and combined with a joint observer estimator which plays the role of the software sensor for the on-line estimation of biological states and parameter variables of interest of the bioprocess. The performances of both estimation and control algorithms are illustrated by simulation results. They demonstrate effectiveness and significant robustness against measurement noises and kinetic parameter jumps. Copyright (C) 1999 John Wiley & Sons, Ltd.