Regulation of the Emulsion Particle Size Distribution to an Optimal Trajectory Using Partial Least Squares Model-Based Predictive Control

详细信息    查看全文

• 作者：Myung-June Park ; Mustafa T. Dokucu ; and Francis J. Doyle III
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2004
• 出版时间：November 10, 2004
• 年：2004
• 卷：43
• 期：23
• 页码：7227 - 7237
• 全文大小：284K
• 年卷期：v.43,no.23(November 10, 2004)
• ISSN：1520-5045

文摘

This paper describes a statistical model-based control strategy for the regulation of the particlesize distribution in emulsion copolymerization. A database is generated using both a mechanisticmodel and experimental data. A partial least squares method is applied at each sample time togenerate the prediction model to be used in a predictive control algorithm. The proposed strategyis implemented in an experimental reactor in which the copolymerization of vinyl acetate/butylacrylate is carried out. The controller is effective in updating the input trajectories to regulatethe controlled distribution to a desired target in the presence of strong disturbances.