Qualitative model-based intelligent control of a distillation column

K. M. Hangos, Z. S. Csáki, S. Bay Jørgensen

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

A method for the development and use of qualitative differential equations for model-based generation of operating procedures has been described in this paper. Qualitative models play a double role in this framework: they are the subject of reasoning for determining the locally advantageous actions, and they are used for qualitative prediction of the system behaviour subject to these actions. This approach allows the methods and tools of artificial intelligence to be integrated into process control systems, conserving the basic approach and system structure by using qualitative models and inference instead of conventional models and prediction for intelligen model-based control. For advice generation a special method, called the extended qualitative simulation (EQSIM) algorithm, has been developed and is discussed in detail. The method and a qualitative model-based advice generating system have been illustrated on the example of generating start-up advice for a pilot-plant distillation column with energy feedback.

Original languageEnglish
Pages (from-to)431-440
Number of pages10
JournalEngineering Applications of Artificial Intelligence
Volume5
Issue number5
DOIs
Publication statusPublished - Sep 1992

Keywords

  • Qualitative modelling
  • intelligent control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering

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