Modeling and Control of a Sugars Precipitation Process for Chinese Medicine Mixed Solution

被引：0

作者：

Duan, Hongjun ^{[1
]}

Li, Qingwei ^{[2
]}

机构：

[1] Northeastern Univ Qinhuangdao, Sch Control Engn, Qinhuangdao, Peoples R China

[2] Northeastern Univ Qinhuangdao, Sch Resources & Mat, Qinhuangdao, Peoples R China

来源：

2013 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING (GRC) | 2013年

关键词：

batch processes; nonlinearity; multivariable control; Chinese medicine; precipitation; NEURAL-NETWORK MODEL; PREDICTIVE CONTROL; OPTIMIZATION; KINETICS; GLUCOSE; SUCROSE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper illustrates the benefits of a multivariable control approach applied to a sugar precipitation process for Chinese medicine mixed solution. This relevant approach proposes setpoints tracking for the crystal mass/concentration couple. In this purpose, a model dedicated to the stage precipitation is designed, without consideration of crystal size distribution. The performance of the proposed control strategy, which application to sucrose and glucose precipitation constitutes a real novelty, is tested via simulation. The good performance in setpoints tracking allows to consider a significant improvement of the precipitation productivity.

引用

页码：82 / 87

页数：6

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