Hybrid Intelligent Control Scheme for Activated Sludge Wastewater Treatment

Author

Sanchez, E.N. ; Hernandez, E.A. ; Cadet, C. ; Beteau, J.F.

Author_Institution

CINVESTAV, Unidad Guadalajara, Guadalajara

fYear

2008

fDate

3-5 Sept. 2008

Firstpage

156

Lastpage

161

Abstract

This paper presents a neural network identification scheme to estimate substrate, biomass and dissolved oxygen concentrations in an activated sludge wastewater treatment. This scheme is based on a discrete-time high order neural network (RHONN) trained on-line with an extended Kalman filter (EKF)-based algorithm. Then, the identification scheme is associated with a fuzzy control to regulate the ratio between substrate and biomass concentrations. Obtained simulation results are very encouraging.

Keywords

Kalman filters; fuzzy control; intelligent control; neural nets; sludge treatment; wastewater treatment; biomass concentrations; discrete-time high order neural network; dissolved oxygen concentrations; extended Kalman filter; fuzzy control; intelligent control; neural network identification; sludge wastewater treatment; Artificial neural networks; Biomass; Bioreactors; Control systems; Effluents; Intelligent control; Mathematical model; Neural networks; Recycling; Wastewater treatment;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 2008. ISIC 2008. IEEE International Symposium on

Conference_Location

San Antonio, TX

ISSN

2158-9860

Print_ISBN

978-1-4244-2224-1

Electronic_ISBN

2158-9860

Type

conf

DOI

10.1109/ISIC.2008.4635947

Filename

4635947