Design of Adaptive Sliding Window PI-PCA Controller

Fernando José Almeida Vieira do Coito; Paulo José Carrilho de Sousa Gil; DEE Group Author; Luís Filipe Figueira de Brito Palma

doi:10.1109/MED.2012.6265779

Design of Adaptive Sliding Window PI-PCA Controller

Fernando José Almeida Vieira do Coito, Paulo José Carrilho de Sousa Gil, DEE Group Author, Luís Filipe Figueira de Brito Palma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

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.

Original language	Unknown
Title of host publication	IEEE
Pages	1061-1066
ISBN (Electronic)	978-1-4673-2529-5
DOIs	https://doi.org/10.1109/MED.2012.6265779
Publication status	Published - 1 Jan 2012
Event	IEEE 20th Mediterranean Conference on Control and Automation - Duration: 1 Jan 2012 → …

Conference

Conference	IEEE 20th Mediterranean Conference on Control and Automation
Period	1/01/12 → …

Access to Document

10.1109/MED.2012.6265779

Cite this

@inproceedings{a9e16ada27274c14b6fb80ef6a09e243,

title = "Design of Adaptive Sliding Window PI-PCA Controller",

abstract = "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.",

keywords = "adaptive control, sliding window, PI control, principal component analysis",

author = "Coito, \{Fernando Jos{\'e} Almeida Vieira do\} and Gil, \{Paulo Jos{\'e} Carrilho de Sousa\} and \{DEE Group Author\} and Palma, \{Lu{\'i}s Filipe Figueira de Brito\}",

year = "2012",

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doi = "10.1109/MED.2012.6265779",

language = "Unknown",

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T1 - Design of Adaptive Sliding Window PI-PCA Controller

AU - Coito, Fernando José Almeida Vieira do

AU - Gil, Paulo José Carrilho de Sousa

AU - DEE Group Author

AU - Palma, Luís Filipe Figueira de Brito

PY - 2012/1/1

Y1 - 2012/1/1

N2 - 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.

AB - 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.

KW - adaptive control

KW - sliding window

KW - PI control

KW - principal component analysis

U2 - 10.1109/MED.2012.6265779

DO - 10.1109/MED.2012.6265779

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