Process control based on PCA models

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8 Citations (Scopus)


In this paper an approach to design controllers based on principal components analysis (PCA) models is presented. Closed-loop control can be formulated and implemented within the reduced space defined by a PCA model. This PCA controller, results in an integral controller, which can be used as an inferential controller when a measurement of a primary variable is not available. The main contributions of the paper are: a) the incorporation of an adjustable gain on the classical PCA controller; b) the proposal of a set of tuning rules; c) the performance evaluation of this new controller, in nominal operation conditions and in faulty situations. Some experimental results, obtained with the three tank benchmark (European COSY project), are presented.
Original languageUnknown
Title of host publicationIEEE
Publication statusPublished - 1 Jan 2010
EventIEEE Conference on Emerging Technologies and Factory Automation (ETFA) -
Duration: 1 Jan 2010 → …


ConferenceIEEE Conference on Emerging Technologies and Factory Automation (ETFA)
Period1/01/10 → …

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