An adaptive high-gain observer for wastewater treatment systems

Abstract The purpose of this paper is twofold: (1) we apply the adaptive observer developed in Boizot et al. [1] to a wastewater system, following two cascade steps. First, we apply it to a simplified model of the system. Second, we use this “simplified” estimation as a measurement for the full system. (2) Although the observability analysis is trivial, the equations contain rather complicated terms. Therefore, it is not reasonable to change coordinates for those of the required observability canonical form. Hence, we have to establish and work with the “unusual” equations of the observer in natural coordinates. Let us point out that the simulations are done taking into account the small number of measurements (three) available in practice.

[1]  J Harmand,et al.  Software sensors for highly uncertain WWTPs: a new approach based on interval observers. , 2002, Water research.

[2]  D. Dochain,et al.  On-Line Estimation and Adaptive Control of Bioreactors , 2013 .

[3]  Benoît Chachuat,et al.  Réduction du modèle ASM 1 pour la commande optimale des petites stations d'épuration à boues activées , 2003 .

[4]  P. Krishnaprasad,et al.  Dynamic observers as asymptotic limits of recursive filters , 1982, CDC 1982.

[5]  W. Gujer,et al.  Activated sludge model No. 3 , 1995 .

[6]  Eric Busvelle,et al.  On determining unknown functions in differential systems, with an application to biological reactors. , 2003 .

[7]  Jan F. M. Van Impe,et al.  Nonlinear and Adaptive Control in Biotechnology: A Tutorial , 1995, Eur. J. Control.

[8]  J. Gauthier,et al.  A simple observer for nonlinear systems applications to bioreactors , 1992 .

[9]  B. Chachuat,et al.  Reduction of the ASM1 Model for Optimal Control of Small-Size Activated Sludge Treatment Plants , 2003 .

[10]  Nicolas Boizot,et al.  An adaptive high-gain observer for nonlinear systems , 2010, Autom..

[11]  D. Dochain,et al.  Interval observers for biochemical processes with uncertain kinetics and inputs. , 2005, Mathematical biosciences.

[12]  Rubens Maciel Filho,et al.  Soft sensors development for on-line bioreactor state estimation , 2000 .

[13]  J. Gauthier,et al.  Deterministic Observation Theory and Applications , 2001 .

[14]  Nicolas Boizot,et al.  Adaptive-gain observers and applications , 2007 .

[15]  O. A. Sotomayor,et al.  Software sensor for on-line estimation of the microbial activity in activated sludge systems. , 2002, ISA transactions.

[16]  Jean-Paul Gauthier,et al.  Observation and identification tools for non-linear systems: application to a fluid catalytic cracker , 2005 .

[17]  Vicenç Puig,et al.  Extended Luenberger Observer-Based Fault Detection for an Activated Sludge Process , 2008 .

[18]  I. Takács A dynamic model of the clarification-thickening process , 1991 .