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

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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.
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Issue Date
2000-07
Language
English
Article Type
Article; Proceedings Paper
Citation

COMPUTERS CHEMICAL ENGINEERING, v.24, no.2-7, pp.953 - 958

ISSN
0098-1354
DOI
10.1016/S0098-1354(00)00395-1
URI
http://hdl.handle.net/10203/69417
Appears in Collection
CBE-Journal Papers(저널논문)
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