Design of Adaptive Sliding Window PI-PCA Controller



In this paper an approach to design adaptive
proportional-integral (PI) controllers, for SISO systems, based
on sliding window principal components analysis (PCA) 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 for linear or
nonlinear systems. The main contributions of the paper are: a)
the proposed architecture and the adaptive mechanism based
on online sliding window PCA; b) the incorporation of a
proportional action and an integral anti-windup mechanism on
the integral PCA controller. Some experimental results,
obtained with a nonlinear system (three tank benchmark –
Amira DTS200) are presented, showing the controller


20th Mediterranean Conference on Control & Automation, July 2012

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