Measured disturbance estimation for model predictive controller

Balazs Kulcsar, J. Bokor

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This paper presents the Model Predictive Controller design process when an unknown input observer provides measured disturbance form unmeasured one. Instead of using an unmeasured disturbance dynamic implemented into the controller, the joint observer-controller uses the estimated measured exogenous disturbance signal. Furthermore the observer can send an alarm sign to the supervisor. The detection and isolation of the unmeasured disturbance is computed by the geometric based strategy called Fundamental Problem in Residual Generation. Better the estimation of the disturbance is, better the rejection of the controller. The measured disturbance could be anticipated. A numerical example explains the effectiveness of the estimation and the usage of the unmeasured disturbance detection.

Original languageEnglish
Pages (from-to)144-151
Number of pages8
JournalMediterranean Journal of Measurement and Control
Volume2
Issue number3
Publication statusPublished - 2006

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controllers
disturbances
Controllers
Supervisory personnel
warning systems
rejection
isolation

Keywords

  • Distributed parameter system
  • Linear matrix inequalities
  • Multivariable control
  • Partial differential equations
  • Quadratic stabilisation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Instrumentation

Cite this

Measured disturbance estimation for model predictive controller. / Kulcsar, Balazs; Bokor, J.

In: Mediterranean Journal of Measurement and Control, Vol. 2, No. 3, 2006, p. 144-151.

Research output: Contribution to journalArticle

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