Supervisory control design based on hybrid systems and fuzzy events detection. Application to an oxichlorination reactor

Edmary Altamiranda, Horacio Torres, Eliezer Colina, Edgar Chacón

Research output: Contribution to journalArticlepeer-review

Abstract

This paper presents a supervisory control scheme based on hybrid systems theory and fuzzy events detection. The fuzzy event detector is a linguistic model, which synthesizes complex relations between process variables and process events incorporating experts' knowledge about the process operation, This kind of detection allows the anticipation of appropriate control actions, which depend upon the selected membership functions used to characterize the process under scrutiny. The proposed supervisory control scheme was successfully implemented for an oxichlorination reactor in a vinyl monomer plant. This implementation has allowed improvement of reactor stability and reduction of raw material consumption.

Original languageEnglish (US)
Pages (from-to)485-499
Number of pages15
JournalISA transactions
Volume41
Issue number4
DOIs
StatePublished - Oct 2002
Externally publishedYes

Keywords

  • Discrete events systems
  • Finite state machines
  • Fuzzy logic
  • Hybrid systems
  • Reactive systems
  • Supervisory control systems implementation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Instrumentation
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Supervisory control design based on hybrid systems and fuzzy events detection. Application to an oxichlorination reactor'. Together they form a unique fingerprint.

Cite this