Iterative Learning Control for Final Batch Product Quality Using Partial Least Squares Models

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• 作者：Jesus Flores-Cerrillo and John F. MacGregor
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2005
• 出版时间：November 23, 2005
• 年：2005
• 卷：44
• 期：24
• 页码：9146 - 9155
• 全文大小：222K
• 年卷期：v.44,no.24(November 23, 2005)
• ISSN：1520-5045

文摘

A terminal iterative learning control (ILC) strategy for batch-to-batch and within-batch controlof final product properties, based on empirical partial least squares (PLS) models, is presented.The strategy rejects persistent process disturbances and achieves new final product qualitytargets using an iterative procedure that works in the reduced space of a latent variable modelrather than in the high dimensional space of the manipulated variable trajectories. Completemanipulated variable trajectory reconstruction is then achieved by exploiting the PLS model ofthe process. The approach is illustrated with a condensation polymerization example for theproduction of nylon.