Invertible singleton fuzzy models: Application to petroleum production control systems

Miguel Ramirez Canelon; Eliezer Colina Morles; Mariela Cerrada Lozada

doi:10.1109/FSKD.2015.7382001

Invertible singleton fuzzy models: Application to petroleum production control systems

Miguel Ramirez Canelon, Eliezer Colina Morles, Mariela Cerrada Lozada

Grupo de Investigación y Desarrollo en Tecnologías Industriales (GIDTEC)

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

Resumen

This paper presents an identification approach based on invertible singleton fuzzy models in order to implement a control system for a progressive cavity pump-based petroleum production system, by using the inverse model control scheme. The identification proposal uses input-output process variables measurements and an off-line genetic algorithm, which is designed for guarantying the analytical calculation of the inverse model. Regarding the application of the genetic algorithm, three selection methods are evaluated: tournament selection, roulette wheel selection and linear rank selection. Once the fuzzy singleton model is identified, the controller design is a straightforward procedure. Computer simulations show the potential application of this kind of model in real industrial control processes.

Idioma original	Inglés
Título de la publicación alojada	2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
Editores	Zhuo Tang, Jiayi Du, Shu Yin, Renfa Li, Ligang He
Editorial	Institute of Electrical and Electronics Engineers Inc.
Páginas	547-552
Número de páginas	6
ISBN (versión digital)	9781467376822
DOI	https://doi.org/10.1109/FSKD.2015.7382001
Estado	Publicada - 13 ene. 2016
Evento	12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 - Zhangjiajie, China Duración: 15 ago. 2015 → 17 ago. 2015

Serie de la publicación

Nombre	2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

Conferencia

Conferencia	12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
País/Territorio	China
Ciudad	Zhangjiajie
Período	15/08/15 → 17/08/15

Nota bibliográfica

Publisher Copyright:
© 2015 IEEE.

Acceder al documento

10.1109/FSKD.2015.7382001

Otros archivos y enlaces

http://www.scopus.com/inward/record.url?scp=84966601941&partnerID=8YFLogxK

Citar esto

Canelon, M. R., Morles, E. C., & Lozada, M. C. (2016). Invertible singleton fuzzy models: Application to petroleum production control systems. En Z. Tang, J. Du, S. Yin, R. Li, & L. He (Eds.), 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 (pp. 547-552). Artículo 7382001 (2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/FSKD.2015.7382001

Canelon, Miguel Ramirez ; Morles, Eliezer Colina ; Lozada, Mariela Cerrada. / Invertible singleton fuzzy models : Application to petroleum production control systems. 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015. editor / Zhuo Tang ; Jiayi Du ; Shu Yin ; Renfa Li ; Ligang He. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 547-552 (2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015).

@inproceedings{13e17e5233cd45aca1b72dcf9f173548,

title = "Invertible singleton fuzzy models: Application to petroleum production control systems",

abstract = "This paper presents an identification approach based on invertible singleton fuzzy models in order to implement a control system for a progressive cavity pump-based petroleum production system, by using the inverse model control scheme. The identification proposal uses input-output process variables measurements and an off-line genetic algorithm, which is designed for guarantying the analytical calculation of the inverse model. Regarding the application of the genetic algorithm, three selection methods are evaluated: tournament selection, roulette wheel selection and linear rank selection. Once the fuzzy singleton model is identified, the controller design is a straightforward procedure. Computer simulations show the potential application of this kind of model in real industrial control processes.",

keywords = "genetic algorithm, inversion of fuzzy models, progressive cavity pumps, Singleton fuzzy models",

author = "Canelon, {Miguel Ramirez} and Morles, {Eliezer Colina} and Lozada, {Mariela Cerrada}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 ; Conference date: 15-08-2015 Through 17-08-2015",

year = "2016",

month = jan,

day = "13",

doi = "10.1109/FSKD.2015.7382001",

language = "English",

series = "2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "547--552",

editor = "Zhuo Tang and Jiayi Du and Shu Yin and Renfa Li and Ligang He",

booktitle = "2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015",

address = "United States",

}

Canelon, MR, Morles, EC & Lozada, MC 2016, Invertible singleton fuzzy models: Application to petroleum production control systems. En Z Tang, J Du, S Yin, R Li & L He (eds.), 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015., 7382001, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015, Institute of Electrical and Electronics Engineers Inc., pp. 547-552, 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015, Zhangjiajie, China, 15/08/15. https://doi.org/10.1109/FSKD.2015.7382001

Invertible singleton fuzzy models: Application to petroleum production control systems. / Canelon, Miguel Ramirez; Morles, Eliezer Colina; Lozada, Mariela Cerrada.
2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015. ed. / Zhuo Tang; Jiayi Du; Shu Yin; Renfa Li; Ligang He. Institute of Electrical and Electronics Engineers Inc., 2016. p. 547-552 7382001 (2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015).

Producción científica: Capítulo del libro/informe/acta de congreso › Contribución de conferencia › revisión exhaustiva

TY - GEN

T1 - Invertible singleton fuzzy models

T2 - 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

AU - Canelon, Miguel Ramirez

AU - Morles, Eliezer Colina

AU - Lozada, Mariela Cerrada

PY - 2016/1/13

Y1 - 2016/1/13

N2 - This paper presents an identification approach based on invertible singleton fuzzy models in order to implement a control system for a progressive cavity pump-based petroleum production system, by using the inverse model control scheme. The identification proposal uses input-output process variables measurements and an off-line genetic algorithm, which is designed for guarantying the analytical calculation of the inverse model. Regarding the application of the genetic algorithm, three selection methods are evaluated: tournament selection, roulette wheel selection and linear rank selection. Once the fuzzy singleton model is identified, the controller design is a straightforward procedure. Computer simulations show the potential application of this kind of model in real industrial control processes.

AB - This paper presents an identification approach based on invertible singleton fuzzy models in order to implement a control system for a progressive cavity pump-based petroleum production system, by using the inverse model control scheme. The identification proposal uses input-output process variables measurements and an off-line genetic algorithm, which is designed for guarantying the analytical calculation of the inverse model. Regarding the application of the genetic algorithm, three selection methods are evaluated: tournament selection, roulette wheel selection and linear rank selection. Once the fuzzy singleton model is identified, the controller design is a straightforward procedure. Computer simulations show the potential application of this kind of model in real industrial control processes.

KW - genetic algorithm

KW - inversion of fuzzy models

KW - progressive cavity pumps

KW - Singleton fuzzy models

UR - http://www.scopus.com/inward/record.url?scp=84966601941&partnerID=8YFLogxK

U2 - 10.1109/FSKD.2015.7382001

DO - 10.1109/FSKD.2015.7382001

M3 - Conference contribution

AN - SCOPUS:84966601941

T3 - 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

SP - 547

EP - 552

BT - 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

A2 - Tang, Zhuo

A2 - Du, Jiayi

A2 - Yin, Shu

A2 - Li, Renfa

A2 - He, Ligang

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 15 August 2015 through 17 August 2015

ER -

Canelon MR, Morles EC, Lozada MC. Invertible singleton fuzzy models: Application to petroleum production control systems. En Tang Z, Du J, Yin S, Li R, He L, editores, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015. Institute of Electrical and Electronics Engineers Inc. 2016. p. 547-552. 7382001. (2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015). doi: 10.1109/FSKD.2015.7382001

Invertible singleton fuzzy models: Application to petroleum production control systems

Resumen

Serie de la publicación

Conferencia

Nota bibliográfica

Acceder al documento

Otros archivos y enlaces

Huella

Citar esto