Application of Nonlinear Model Predictive Control in Continuous Crystallization Systems

被引：0
|
作者：
Yang, Yang [1 ]
Nagy, Zoltan K. [1 ]
机构：
[1] Purdue Univ, W Lafayette, IN 47907 USA
来源：
2015 AMERICAN CONTROL CONFERENCE (ACC) | 2015年
关键词：
BEAM REFLECTANCE MEASUREMENT; CRYSTAL SIZE DISTRIBUTION; ANTISOLVENT CRYSTALLIZATION; MIXED-SUSPENSION; BATCH CRYSTALLIZATION; CONTROL FRAMEWORK; DESIGN;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Continuous crystallizers have great advantages on crystal quality consistency and process efficiency. In this study, a continuous two stage mixed suspension mixed product removal (MSMPR) cascade crystallizer is modeled using population balance model (PBM), with both cooling and antisolvent addition applied to generate supersaturation. The application of nonlinear model predictive control (NMPC) is discussed considering both yield and crystal size as objectives.
引用
收藏
页码：4282 / 4287
页数：6
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