Process control based on PCA models

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

doi:10.1109/ETFA.2010.5641080

Process control based on PCA models

Fernando José Almeida Vieira do Coito, Rui Neves-silva, 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

12 Citations (Scopus)

Abstract

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 language	Unknown
Title of host publication	IEEE
Pages	1-4
DOIs	https://doi.org/10.1109/ETFA.2010.5641080
Publication status	Published - 1 Jan 2010
Event	IEEE Conference on Emerging Technologies and Factory Automation (ETFA) - Duration: 1 Jan 2010 → …

Conference

Conference	IEEE Conference on Emerging Technologies and Factory Automation (ETFA)
Period	1/01/10 → …

Access to Document

10.1109/ETFA.2010.5641080

Cite this

@inproceedings{288d86a2d5c8489eb70ea9b70feb89c5,

title = "Process control based on PCA models",

abstract = "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.",

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

year = "2010",

month = jan,

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doi = "10.1109/ETFA.2010.5641080",

language = "Unknown",

isbn = "978-1-4244-6848-5",

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T1 - Process control based on PCA models

AU - Coito, Fernando José Almeida Vieira do

AU - Neves-silva, Rui

AU - Gil, Paulo José Carrilho de Sousa

AU - DEE Group Author

AU - Palma, Luís Filipe Figueira de Brito

PY - 2010/1/1

Y1 - 2010/1/1

N2 - 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.

AB - 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.

U2 - 10.1109/ETFA.2010.5641080

DO - 10.1109/ETFA.2010.5641080

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BT - IEEE

T2 - IEEE Conference on Emerging Technologies and Factory Automation (ETFA)

Y2 - 1 January 2010

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