Fuzzy model based control: Application to an oil production separator

Miguel Angel Ramirez Canelon, Eliezer Colina Morles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Classical fuzzy controllers have been of the rulebased type, where the rules in the controller attempt to model the response of an operator to a particular process situation. Based on the ability of fuzzy systems to approximate any nonlinear mapping, the nonlinear plant is represented by a zeroth-order Takagi Sugeno fuzzy model and it is analytically inverted for designing a fuzzy controller. In order to minimize the steady-state-error due to model-plant mismatch, an Internal Model Control (IMC) will be considered. The proposed fuzzy controller is applied to control the oil level in a production separator and is shown to be capable of providing good overall system performance.

Original languageEnglish (US)
Title of host publicationProceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008
Pages750-757
Number of pages8
DOIs
StatePublished - 2008
Externally publishedYes
Event8th International Conference on Hybrid Intelligent Systems, HIS 2008 - Barcelona, Spain
Duration: Sep 10 2008Sep 12 2008

Publication series

NameProceedings - 8th International Conference on Hybrid Intelligent Systems, HIS 2008

Conference

Conference8th International Conference on Hybrid Intelligent Systems, HIS 2008
Country/TerritorySpain
CityBarcelona
Period9/10/089/12/08

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Systems Engineering

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