A comparison of identification methods of a hydraulic pumping system

Magdi S. Mahmoud*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

In this paper, a group of identification methods are closely examined and evaluated with respect to the parameters estimation of polynomial models of a 15 kW hydraulic pumping system. The aim is to determine models with good performance in both transient and steady-state regimes. The linear methods based on parametric model structures cover autoregressive (AR), autoregressive with exogenous variables (ARX), autoregressive with moving average and exogenous variables (ARMAX), Box-Jenkins (BJ) and state-space schemes. The nonlinear method is a nonlinear autoregressive with moving average and exogenous variables (NARMAX) which uses free-run simulation. Through numerical simulations, it is concluded that NARMAX yields the best fit amongst the selected schemes.

Original languageEnglish
Title of host publicationSYSID 2012 - 16th IFAC Symposium on System Identification, Final Program
PublisherIFAC Secretariat
Pages662-667
Number of pages6
EditionPART 1
ISBN (Print)9783902823069
DOIs
StatePublished - 2012

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
NumberPART 1
Volume16
ISSN (Print)1474-6670

Keywords

  • ARE
  • ARMAX
  • Hydraulic system
  • Linear identification
  • Simulation error

ASJC Scopus subject areas

  • Control and Systems Engineering

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