Volume 7 Number 3 (Mar. 2012)
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JCP 2012 Vol.7(3): 716-723 ISSN: 1796-203X
doi: 10.4304/jcp.7.3.716-723

Research on the pH Neutralization Process Based on the T-S Fuzzy Model

Xiaohui Chen1, Jinpeng Chen1, Jinpeng Chen2
1College of Computer and Information Technology, China Three Gorges University, Yichang, China
2Institute of Intelligent Vision and Image Information, China Three Gorges University, Yichang, China


Abstract—Inherent pH process nonlinearity and timevarying characteristics impose a highly challenging control problem. To meet the requirement of precise identification of parameters in pH neutralization process, this paper concerns the modeling and identification of pH neutralization process. In consideration of the approximate three sections linear characteristic of titration curve in the pH neutralization process, the T-S fuzzy model is adopted as the model of pH neutralization process. Considering the gradient parameters in pH neutralization process, the parameters of the model are identified with the methods of recursive least square algorithm (RLS) and recursive least square with fading factor algorithm (RLS-RFF). The simulation results indicate the effectiveness of the modeling method and the identification methods, and the RLS-RFF algorithm has better identification accuracy and adaptive ability than the RLS algorithm in the reaction process of gradient parameters.

Index Terms—T-S fuzzy model, fuzzy identification, pH neutralization process, least square method

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Cite: Xiaohui Chen, Jinpeng Chen, Jinpeng Chen, "Research on the pH Neutralization Process Based on the T-S Fuzzy Model," Journal of Computers vol. 7, no. 3, pp. 716-723, 2012.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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