Perspectives on control-relevant identification through the use of interactive tools

J. D. Álvarez, J. L. Guzmán, Daniel Rivera, M. Berenguel, S. Dormido

Research output: Contribution to journalArticle

10 Scopus citations

Abstract

System identification is an essential part of control design. Control engineers must devote substantial effort to identification issues in order to obtain suitable models for closed-loop control. Control-relevant identification seeks to both simplify the modelling task and improve the usefulness of the model by taking into account controller requirements during system identification. The advantages of this methodology can be better understood and appreciated through the interactive software tool described in this paper. The Interactive Tool for Control Relevant Identification (ITCRI) comprehensively captures the control-relevant identification process for the monovariable problem, from input design to closed-loop control, depicting these stages simultaneously and interactively in one screen. By simultaneously displaying both open- and closed-loop responses of the estimated models, ITCRI enables the user to readily assess how design variable choices during identification and control performance requirements impact model error and ultimately, closed-loop performance. Moreover, the work presents several examples which the aim to illustrate the tool and the considerations that arise when control requirements are taken into account during the identification stage.

Original languageEnglish (US)
Pages (from-to)171-183
Number of pages13
JournalControl Engineering Practice
Volume21
Issue number2
DOIs
StatePublished - Feb 1 2013

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Keywords

  • Control-relevant identification
  • Experimental design
  • Interactive tools
  • Prediction-error estimation
  • Process control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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