Design and Application of Model-on-Demand Predictive Controller to a Semibatch Copolymerization Reactor

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• 作者：Su-Mi Hur ; Myung-June Park ; and Hyun-Ku Rhee
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2003
• 出版时间：February 19, 2003
• 年：2003
• 卷：42
• 期：4
• 页码：847 - 859
• 全文大小：293K
• 年卷期：v.42,no.4(February 19, 2003)
• ISSN：1520-5045

文摘

This article considers the design of a multivariable model-on-demand predictive controller (MoD-PC) and its application to polymer quality control in a semibatch MMA/MA copolymerizationreactor. The MoD-PC is designed by combining the model-on-demand (MoD) framework withthe conventional model predictive controller. For this purpose, a local autoregressive exogenousinput model is constructed with a small portion of data located in the region of interest at everysample time when a model equation is needed for output prediction. This model equation isthen used to calculate the optimal control input sequence. Through the open-loop test, the reactiontemperature and free volume are shown to be an adequate choice for the elements of the regressorstate vector in the data searching step. The validity of the identified model is corroborated bythe prediction method. The results of simulation studies for the regulation and disturbancerejection problems with and without noise demonstrate that, despite the nonlinearity of thesystem, the MoD-PC is an effective strategy with a low computational load for the productionof copolymers with desired properties.