Detection of model parameter mismatch using simplified partial correlation analysis for closed-loop system

Nur Hidayah Kamal Iqbal, Nooryusmiza Yusoff, Lemma Dendena Tufa

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

Abstract

Partial correlation analysis is used in detecting the model-plant mismatch as it will give accurate location of mismatched submodel. In this work of model parameter mismatch detection in closed-loop system, a simplified method of partial correlation analysis is proposed. In this method, the identification step for input sensitivities relating setpoints and manipulated variables, Sru, is omitted due the ability of ARX model structure to capture the dynamic of the input-output data even though in the presence of unmeasured disturbance in closed-loop system. The ARX model structure is implemented in decorrelating the observed data from the correlated inputs. By using the ARX model, the mismatch is detected at the precise location compared to the detection using FIR decorrelation model.

Original languageEnglish
Title of host publicationProcess and Advanced Materials Engineering
EditorsIqbal Ahmed
PublisherTrans Tech Publications
Pages398-401
Number of pages4
ISBN (Electronic)9783038351818
DOIs
Publication statusPublished - Sep 2014
Event3rd International Conference on Process Engineering and Advanced Materials 2014 - Kuala Lumpur, Malaysia
Duration: 3 Jun 20145 Jun 2014

Publication series

NameApplied Mechanics and Materials
PublisherTrans Tech Publications
Volume625
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference3rd International Conference on Process Engineering and Advanced Materials 2014
Abbreviated titleICPEAM 2014
CountryMalaysia
CityKuala Lumpur
Period3/06/145/06/14

Keywords

  • ARX structure
  • FIR structure
  • Model parameter mismatch
  • Model predictive control
  • Partial correlation analysis
  • Wood and Berry distillation column

ASJC Scopus subject areas

  • Engineering(all)

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