Systematic identification and robust control design for uncertain time delay processes

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Abstract

A systematic procedure is proposed to handle the standard process control problem. The considered standard problem involves infrequent step disturbances to processes with large delays and measurement noise. The process is modeled as an ARX model and extended with a suitable noise model in order to reject unmeasured step disturbances and unavoidable model errors. This controller is illustrated to perform well for both set point tracking and a disturbance rejection for a SISO process example of a furnace which has a time delay which is significantly longer than the dominating time constant.
Original languageEnglish
Title of host publication21st European Symposium on Computer Aided Process Engineering
PublisherElsevier
Publication date2011
Pages442-446
ISBN (Print)978-0-444-53895-6
DOIs
Publication statusPublished - 2011
Event21st European Symposium on Computer Aided Process Engineering - Chalkidiki, Greece
Duration: 29 May 20111 Jun 2011
http://www.escape-21.gr/

Conference

Conference21st European Symposium on Computer Aided Process Engineering
Country/TerritoryGreece
CityChalkidiki
Period29/05/201101/06/2011
Internet address
SeriesComputer Aided Chemical Engineering
Number29
ISSN1570-7946

Keywords

  • Time delay systems
  • Model Predictive Control
  • Autoregressive models

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