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

Research and Development Group in Industrial Technologies (GIDTEC)

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

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.

Original language	English
Title of host publication	2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
Editors	Zhuo Tang, Jiayi Du, Shu Yin, Renfa Li, Ligang He
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	547-552
Number of pages	6
ISBN (Electronic)	9781467376822
DOIs	https://doi.org/10.1109/FSKD.2015.7382001
State	Published - 13 Jan 2016
Event	12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 - Zhangjiajie, China Duration: 15 Aug 2015 → 17 Aug 2015

Publication series

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

Conference

Conference	12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
Country/Territory	China
City	Zhangjiajie
Period	15/08/15 → 17/08/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

genetic algorithm
inversion of fuzzy models
progressive cavity pumps
Singleton fuzzy models

Access to Document

10.1109/FSKD.2015.7382001

Cite this

Canelon, M. R., Morles, E. C., & Lozada, M. C. (2016). Invertible singleton fuzzy models: Application to petroleum production control systems. In 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). Article 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).

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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}",

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doi = "10.1109/FSKD.2015.7382001",

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Canelon, MR, Morles, EC & Lozada, MC 2016, Invertible singleton fuzzy models: Application to petroleum production control systems. in 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).

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

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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.

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Canelon MR, Morles EC, Lozada MC. Invertible singleton fuzzy models: Application to petroleum production control systems. In Tang Z, Du J, Yin S, Li R, He L, editors, 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

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Keywords

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