Adaptive Advanced Control of a Copolymerization System

被引：0
|
作者：
Lima, Nadson M. N. [1 ]
Linan, Lamia Zuniga [1 ]
Manenti, Flavio [2 ]
Maciel Filho, Rubens [1 ]
Embirucu, Marcelo [3 ]
Wolf Maciel, Maria R. [1 ]
机构：
[1] Univ Campinas UNICAMP, Dept Chem Proc, BR-13083970 Campinas, SP, Brazil
[2] Politecn Milan, CMIC Dept Giulio Natta, I-20133 Milan, Italy
[3] Univ Fed Bahia, Polytech Inst, BR-40210 Salvador, BA, Brazil
来源：
21ST EUROPEAN SYMPOSIUM ON COMPUTER AIDED PROCESS ENGINEERING | 2011年 / 29卷
基金：
巴西圣保罗研究基金会;
关键词：
multivariable nonlinear model-based predictive control; adaptive control; nonlinear system identification; nonlinear dynamic fuzzy model; copolymerization; PREDICTIVE CONTROL;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
The development and implementation of two multivariable nonlinear fuzzy model-based adaptive predictive control schemes to a copolymerization process is described in this paper. Multi-input/single-output models are developed using fuzzy logic and combined to form a parallel system model for simulation and on-line prediction. The behavior of the outlined controllers were compared to the dynamic matrix control (DMC) and to a typical nonlinear model-based predictive control (typical NMPC) for regulatory problem. The obtained results showed the effectiveness of the proposed structures.
引用
收藏
页码：693 / 697
页数：5
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