Order Reduction Rules Based on Statistical Techniques for Inverse Response Processes

Duby Castellanos, Fabio Castrillon, Oscar Camacho, Sergio Gutierrez, Norha L. Posada

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

In this work, we present a set of rules that transforms the model of Inverse Response Second Order Plus Dead Time Process (IRSODT) and reduces it to a First Order Plus Dead Time (FOPDT) model. We describe the design process for the proposed rules, where we use Dimensional Analysis Techniques and Design of Experiments (DOE). We analyze and compare our rules with those proposed by Taylor, and those proposed by Skogestad. Finally, we use our rules to tune a Sliding Mode Control (SMC) that uses a FOPDT model and we presented some performance indexes.

Original languageEnglish
Title of host publication2020 9th International Congress of Mechatronics Engineering and Automation, CIIMA 2020 - Conference Proceedings
EditorsLuz Alejandra Magre Colorado
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728194967
DOIs
StatePublished - 4 Nov 2020
Event9th International Congress of Mechatronics Engineering and Automation, CIIMA 2020 - Cartagena de Indias, Colombia
Duration: 4 Nov 20206 Nov 2020

Publication series

Name2020 9th International Congress of Mechatronics Engineering and Automation, CIIMA 2020 - Conference Proceedings

Conference

Conference9th International Congress of Mechatronics Engineering and Automation, CIIMA 2020
Country/TerritoryColombia
CityCartagena de Indias
Period4/11/206/11/20

Keywords

  • ANOVA
  • Design of Experiments
  • Inverse Response Process
  • Reduction Order Techniques
  • Sliding Mode Control

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