Fuzzy model predictive control of nonlinear pH process

被引:8
|
作者
Cho, KH [1 ]
Yeo, YK [1 ]
Kim, JS [1 ]
Koh, ST [1 ]
机构
[1] Hanyang Univ, Dept Chem Engn, Sungdong Gu, Seoul 133791, South Korea
关键词
fuzzy model; pH control; predictive control; nonlinear process; pH process;
D O I
10.1007/BF02706838
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
A new fuzzy model-based predictive control scheme was developed to control a nonlinear pH process. The control scheme is based on the Takagi-Sugeno type fuzzy model of the process being controlled. In the present fuzzy model predictive control method, the process model maintains a linear representation of the conclusion parts of fuzzy rules. Therefore, it has a significant advantage over other types of models in the sense that nonlinear processes can be handled effectively by embedding the linear characteristic. The fuzzy model of the pH process to be controlled was constructed and used in the predictive control algorithm. Results of computer simulations and experiments demonstrated the effectiveness of the present control method.
引用
收藏
页码:208 / 214
页数:7
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