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 performance.
|Title of host publication||IEEE|
|Publication status||Published - 1 Jan 2012|
|Event||IEEE 20th Mediterranean Conference on Control and Automation - |
Duration: 1 Jan 2012 → …
|Conference||IEEE 20th Mediterranean Conference on Control and Automation|
|Period||1/01/12 → …|