The Process Control Simulation of Purifying Water Based on ANFIS

Author

Li, Xiaohua ; Shen, Peng ; Chen, Xue-Bo

Author_Institution

Sch. of Electron. & Inf. Eng., Anshan Univ. of Sci. & Technol.

Volume

1

fYear

0

fDate

0-0 0

Firstpage

3820

Lastpage

3824

Abstract

Aimed at the uncertainty of the process of purifying water, an adaptive neuro-fuzzy controller is proposed firstly to control the process of purifying water by using adaptive neuro-fuzzy inference system in this paper. The adaptive control is adopted in the process, not depending on the experience of workers. By training and checking of ANFIS, the results are obtained, which show that the adaptive neuro-fuzzy controller has the high precision and good control effect. The water´s quality is improved ulterior after the water with impurity is disposed by using neuro-fuzzy controller. The advantage of the ANFIS is shown in modern industry application

Keywords

adaptive control; fuzzy control; fuzzy neural nets; fuzzy reasoning; neurocontrollers; process control; uncertain systems; water treatment; ANFIS; adaptive control; adaptive neurofuzzy controller; adaptive neurofuzzy inference system; process control simulation; subtraction clustering; water purification process; Adaptive control; Adaptive systems; Control systems; Impurities; Industrial training; Industry applications; Intelligent control; Process control; Programmable control; Uncertainty; ANFIS; modeling and simulation; purifying water process; subtraction clustering;

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.2006.1713086

Filename

1713086