Una metodología para la identificación integrada con el diseño de controladores IMC-PID

Translated title of the contribution: A methodology for integrated system identification with IMC-PID controller design

Research output: Contribution to journalArticle

13 Scopus citations

Abstract

This paper describes, in tutorial fashion, an integrated identification and control design methodology that begins with dynamic modelling from plant data and concludes with parameter settings for high performance PID controllers. By integrating identification with PID controller design, the method displays functionality that is often demanded by the practicing engineering community. The major steps in this integrated methodology are: experimental design, high-order ARX estimation, and control-relevant model reduction leading to models that comply with the MC-PID tuning rules. When a persistently exciting input is applied, high-order ARX model estimation is consistent, which makes it an attractive intermediate model for control-relevant model reduction purposes; furthermore, the low computational effort associated with ARX estimation means that simple statistical tools (such as cross validation) can be used to efficiently determine a suitable structure for the ARX model without substantial user intervention. The methodology is illustrated for the case of a delayed plant subject to a disturbance displaying significant drift.

Translated title of the contributionA methodology for integrated system identification with IMC-PID controller design
Original languageSpanish
Pages (from-to)5-18+129
JournalRIAI - Revista Iberoamericana de Automatica e Informatica Industrial
Volume4
Issue number4
DOIs
StatePublished - Oct 2007

Keywords

  • Control-relevant modelling
  • Internal Model Control (IMC)
  • Model reduction
  • PID control
  • System identification

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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