Control of Copolymer Properties in a Semibatch Methyl Methacrylate/Methyl Acrylate Copolymerization Reactor by Using a Learning-Based Nonlinear Model Predictive Controller

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• 作者：Myung-June Park and Hyun-Ku Rhee
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2004
• 出版时间：May 26, 2004
• 年：2004
• 卷：43
• 期：11
• 页码：2736 - 2746
• 全文大小：168K
• 年卷期：v.43,no.11(May 26, 2004)
• ISSN：1520-5045

文摘

This paper is concerned with the production of copolymers with uniform copolymer compositionand desired weight-average molecular weight by using a learning-based nonlinear modelpredictive control (NLMPC). For an effective control in a semibatch copolymerization system,the successive linearization method used in NLMPC is modified. The nonlinear model for thecopolymerization system is linearized by using the previous batch data within the predictionhorizon in such a way that the linear time-varying model is obtained as a function of theincrement of the inputs between the two consecutive batches. The learning algorithm isincorporated into the controller by virtue of the model structure, and the effectiveness of theproposed controller is shown by comparison with a conventional nonlinear model predictivecontroller as well as a linear model-based learning controller. Through the implementation ofthe controller to a semibatch methyl methacrylate/methyl acrylate copolymerization reactor, itis proven that copolymers with desired properties are produced effectively using the algorithmproposed in this study.