The Control of Wastewater Treatment Process Based on Fuzzy Neural Network

Author

Liu, Chaobin ; Qiao, Junfei ; Zhang, Fangfang

Author_Institution

Sch. of Electron. Inf. & Control Eng., Beijing Univ. of Technol.

Volume

2

fYear

0

fDate

0-0 0

Firstpage

9347

Lastpage

9351

Abstract

The activated sludge wastewater treatment process is a high nonlinear and time-varying system. The water quality changes violently, and the states have strong coupling between each other. As these problems, the paper proposes an adaptive fuzzy neural network controller. The results of simulation show this controller can adjust membership function on-line, optimize control rules, remove contamination quickly and has great robustness when applied to activated sludge system. This study provides a new approach to the research of wastewater treatment process

Keywords

fuzzy neural nets; neurocontrollers; nonlinear control systems; sludge treatment; time-varying systems; wastewater treatment; activated sludge system; adaptive fuzzy neural network controller; dissolved oxygen; intelligent control; membership function; nonlinear system; time-varying system; wastewater treatment process; water quality; Adaptive control; Adaptive systems; Contamination; Fuzzy control; Fuzzy neural networks; Programmable control; Robust control; Time varying systems; Wastewater treatment; Water pollution; Fuzzy neural network; dissolved oxygen; intelligent control; wastewater treatment;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on

Conference_Location

Dalian

Print_ISBN

1-4244-0332-4

Type

conf

DOI

10.1109/WCICA.2006.1713810

Filename

1713810