Dynamic analysis and system identification of a schiebel extraction column

Farouq S. Mjalli*, Nabil M. Abdel-Jabbar, John P. Fletcher

*Corresponding author for this work

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

Abstract

A rigorous model for dynamic simulation of extraction process is developed. The simulation model is shown to be accurate for prediction of process behaviour under different operating conditions. Dynamic analysis is carried out on the simulation model to understand the process transient behaviour under different conditions. Step testing is then applied on the rigorous simulation model to generate input-output response data, which are then used for multivariable system identification in order to derive simple reduced-order linear models that can adequately capture the process dynamics. The identified model predictions are found to be in a good agreement with the rigorous ones. Also, these models are shown to be useful in control system design.

Original languageEnglish
Title of host publicationProceedings of the IASTED International Conference on Applied Simulation and Modelling
EditorsM.H. Hamza
Pages184-188
Number of pages5
Publication statusPublished - 2004
EventProceedings of the IASTED International Conference on Applied Simulation and Modelling - Rhodes, Greece
Duration: Jun 28 2004Jun 30 2004

Other

OtherProceedings of the IASTED International Conference on Applied Simulation and Modelling
CountryGreece
CityRhodes
Period6/28/046/30/04

Keywords

  • Backmixing model
  • Control
  • Dynamics
  • Liquid-liquid extraction
  • Multivariable
  • System identification

ASJC Scopus subject areas

  • Engineering(all)

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