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 and proceedingspeer-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

    Bibliographical note

    Publisher Copyright:
    © 2020 IEEE.

    Keywords

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

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