Hybrid approach for control loop performance assessment

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

3 Citations (Scopus)

Abstract

An online hybrid (combined) approach for control loop performance assessment mainly based on normalized Harris-CLPA index, on linear principal component analysis (PCA) and on neural network predictor, is the main contribution proposed in the paper. The proposed approach permits the detection and isolation of intermittent faults, transients in control loops and PI(D) controller detuning, for single-input single-output systems. Experimental results obtained with the nonlinear three-tank system (DTS-200 benchmark) using a PI(D) controller are presented, in order to evaluate the overall system performance.

Original languageEnglish
Title of host publicationIntelligent Decision Technologies
EditorsRui Neves-Silva, Junzo Watada, Phillips-Wren Gloria, Lakhmi Jain, Robert Howlett
Pages235-244
Number of pages10
DOIs
Publication statusPublished - 1 Dec 2013

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume255
ISSN (Print)0922-6389

Keywords

  • Control loops
  • Harris-CLPA index
  • Neural networks
  • Performance assessment
  • Principal component analysis

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