Invertible singleton fuzzy models: Application to petroleum production control systems

Miguel Ramirez Canelon, Eliezer Colina Morles, Mariela Cerrada Lozada

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publication2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
EditorsZhuo Tang, Jiayi Du, Shu Yin, Renfa Li, Ligang He
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages547-552
Number of pages6
ISBN (Electronic)9781467376822
DOIs
StatePublished - 13 Jan 2016
Event12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 - Zhangjiajie, China
Duration: 15 Aug 201517 Aug 2015

Publication series

Name2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

Conference

Conference12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
Country/TerritoryChina
CityZhangjiajie
Period15/08/1517/08/15

Keywords

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

Fingerprint

Dive into the research topics of 'Invertible singleton fuzzy models: Application to petroleum production control systems'. Together they form a unique fingerprint.

Cite this