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
收藏
页码：82 / 87
页数：6
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