System identification for a liquid flow process

Walaa Araydah, Tarek A. Tutunji, Ibrahim Al-Naimi

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

6 Citations (Scopus)

Abstract

Fluid process systems are usually difficult to model because they contain certain nonlinearities and have difficulties to measure several parameters. Therefore, experimental modeling, using measured data, is an appropriate modeling technique for such systems. In this paper, a mathematical model for a FESTO Process Workstation is developed using system identification procedures to formulate the transfer function between the pump voltage and the output flowrate. Input and output data sets are collected from the physical plant, using PC interface with FESTO FluidLAb PA software package. System Identification (SysID) Toolbox in MATLAB is used to formulate several structure models, with different orders, to capture the system's dynamic behavior. The models are tested, validated, and compared using several data sets. The best fit model is selected to represent the liquid process system.

Original languageEnglish
Title of host publication2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2017
EditorsIbrahim Al-Oqily
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509059690
DOIs
Publication statusPublished - Jul 1 2017
Externally publishedYes
Event2017 IEEE Smart Grid Conference, SGC 2017 - Tehran, Iran, Islamic Republic of
Duration: Dec 20 2017Dec 21 2017

Publication series

Name2017 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, AEECT 2017
Volume2018-January

Conference

Conference2017 IEEE Smart Grid Conference, SGC 2017
Country/TerritoryIran, Islamic Republic of
CityTehran
Period12/20/1712/21/17

Keywords

  • Flow control
  • Liquid process system
  • Parametric models
  • System identification

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering
  • Instrumentation

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