Integrated quality and tracking control of a batch PMMA reactor using a QBMPC technique

被引:13
作者
Chae, DC [1 ]
Chin, I
Lee, KS
Rho, H
Rhee, H
Lee, JH
机构
[1] Sogang Univ, Dept Chem Engn, Seoul 100611, South Korea
[2] Seoul Natl Univ, Sch Chem Engn, Seoul, South Korea
[3] Purdue Univ, Sch Chem Engn, W Lafayette, IN 47907 USA
关键词
quality control; model predictive control; batch process control; learning control; PMMA polymerization reactor;
D O I
10.1016/S0098-1354(00)00395-1
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
QBMPC is a recently developed technique for combined quality and tracking control of batch processes where prediction-based real-time control and batch-wise integral control are conducted simultaneously. The most important advantage of QBMPC is that both quality and tracking variables converge to the optima dictated by the objective function despite model uncertainty and run-wise repeating disturbances. In this paper, with the purpose to enhance the quality control aspect, the QBMPC algorithm has been newly formulated based on a time-varying state space model. The new algorithm has been applied to a batch reactor model for methylmethacrylate (MMA) polymerization where the weight-average molecular weight and polydispersity index of the end product, and monomer conversion are considered important quality variables to control. Key steps for the controller design are described and the resulting control performance is demonstrated. (C) 2000 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:953 / 958
页数:6
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