Modeling and nonlinear control of a continuous KCl-NaCl crystallizer

被引：1
|
作者：
Tadayyon, A [1 ]
Rohani, S
机构：
[1] Univ Saskatchewan, Dept Chem Engn, Saskatoon, SK S7N 5C9, Canada
[2] Univ Western Ontario, Dept Chem & Biochem Engn, London, ON N6A 5B9, Canada
来源：
PARTICULATE SCIENCE AND TECHNOLOGY | 2000年 / 18卷 / 04期
关键词：
D O I：
10.1080/02726350008906842
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
A controller is developed by combining the extended linear quadratic matrix control (EQDMC) and neural network algorithms. The dynamic neural network scheme is used to identify the process and generate a nonlinear model. The control. algorithm is applied to a multi-input multi-output (MIMO) evaporative cooling KCl-NaCl-H2O crystallizer. Closed loop responses of the system using the proposed algorithm and those of PID controllers are compared. It is shown that in all cases, the response of the proposed controller to step changes in setpoints is faster than the PID controllers.
引用
收藏
页码：329 / 357
页数：29
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