Intelligent supervision based on Multi-Agent Systems: Application to petroleum industrial processes

Miguel Angel Ramírez, Jacinto Dávila, Eliezer Colina Morles

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

Abstract

This work presents a methodology for the design of an intelligent supervisory system that combines the principles of fuzzy logic, the Internal Model Control (IMC) architecture and the paradigm of Multi-Agent Systems (MAS). The methodology has been conceived to be applied in an intelligent supervisory system, specifically for two kinds of complex petroleum industrial processes: the gas-oil separation process and the oil-heating process. The supervision proposal takes into account the fact of using standard local supervisors schemes connected between themselves and to a global supervisor so that local objectives in each process can be met, thereby letting the global or social objective be obtained through the application of basic mechanism of communication, cooperation and coordination; where these objectives have been previously defined and structured in a hierarchical manner. The paper includes some computational simulations performed under MATLAB / SIMULINK and the results obtained show a good overall system performance.

Original languageEnglish (US)
Title of host publicationProceedings of the 13th WSEAS International Conference on Systems - Held as part of the 13th WSEAS CSCC Multiconference
Pages498-505
Number of pages8
StatePublished - 2009
Externally publishedYes
Event13th WSEAS International Conference on Systems - Held as part of the 13th WSEAS CSCC Multiconference - Rodos, Greece
Duration: Jul 22 2009Jul 24 2009

Publication series

NameProceedings of the 13th WSEAS International Conference on Systems - Held as part of the 13th WSEAS CSCC Multiconference

Conference

Conference13th WSEAS International Conference on Systems - Held as part of the 13th WSEAS CSCC Multiconference
Country/TerritoryGreece
CityRodos
Period7/22/097/24/09

Keywords

  • Event detectors
  • Intelligent supervisor system
  • Internal model control
  • Multi-Agent System

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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