Control performance monitoring - a review and assessment

S. Joe QIN*

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

319 Citations (Scopus)

Abstract

In this paper we present an overview of current status of control performance monitoring using minimum variance principles. Extensions to PID- achievable performance assessment, trade-off between performance and robustness, and trade-off between deterministic and stochastic performance objectives are discussed. Future directions are pointed out for research and practice with regard to root-cause diagnosis, plant-wide performance assessment, multivariable assessment, adequacy assessment of existing control strategies, performance assessment of model predictive control, and the use of intelligent field devices and artificial intelligence to form a systematic diagnostic methodology. A brief tutorial on performance assessment is given in the appendix with an industrial process example.
Original languageEnglish
Pages (from-to)173-186
Number of pages14
JournalComputers and Chemical Engineering
Volume23
Issue number2
DOIs
Publication statusPublished - Dec 1998
Externally publishedYes

Keywords

  • Control performance monitoring
  • Intelligent sensors and valves
  • Minimum variance control
  • Model-based control
  • Plant-wide variability assessment
  • Robustness
  • Root- cause diagnostics

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