Identification of pH Neutralization Process Based on the T-S Fuzzy Model

被引：0
|
作者：
Chen, Xiaohui [1 ]
Chen, Jinpeng [1 ]
Lei, Bangjun [2 ]
机构：
[1] China Three Gorges Univ, Coll Comp & Informat Technol, Yichang 443002, Peoples R China
[2] China Three Gorges Univ, Inst Intelligent Vision & Image Informat, Yichang 443002, Peoples R China
来源：
ADVANCES IN COMPUTER SCIENCE, ENVIRONMENT, ECOINFORMATICS, AND EDUCATION, PT II | 2011年 / 215卷
基金：
中国国家自然科学基金;
关键词：
T-S fuzzy model; fuzzy identification; pH neutralization process; least square method;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Considering the nonlinearity and gradient parameters of pH neutralization process, this paper concerned on the modeling and identification of pH neutralization process. As the approximate three sections linear characteristic of titration curve in the pH neutralization process, we discussed the use of T-S fuzzy model for modelling the pH neutralization process. Due to its gradient parameters, we identified the parameters of the system using its input-output data with the method of recursive least square with fading factor algorithm (RLS-RFF). Simulations including recursive least square (RLS) and RLS-RFF have shown the efficiency of the method, and RLS-RFF has better identification accuracy and adaptive ability in the reaction process of gradient parameters.
引用
收藏
页码：579 / +
页数：3
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