Process Control Based on PCA Models



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, that can be used, or not, 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 some tuning rules; c) the performance evaluation of this new controller type, in nominal operation and in faulty situations. Some experimental results, obtained with the three tank benchmark (European COSY project), are presented.


15th IEEE International Conference on Emerging Technologies and Factory Automation, September 2010

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