IDEAS home Printed from https://ideas.repec.org/a/hin/jjmath/7185131.html
   My bibliography  Save this article

Influence of the Selection of Reaction Curve’s Representative Points on the Accuracy of the Identified Fractional-Order Model

Author

Listed:
  • Juan J. Gude
  • Pablo García Bringas
  • Mohammad Alomari

Abstract

In this paper, a general procedure for identifying a fractional first-order plus dead-time (FFOPDT) model is presented. This procedure is based on fitting three arbitrary points on the process reaction curve, where process information is obtained from a simple open-loop test. A simplification of the general identification procedure is also considered, where only points symmetrically located on the reaction curve are selected. The proposed symmetrical procedure has been applied to the following sets of representative points: (5–50–95%), (10–50–90%), (15–50–85%), (20–50–80%), (25–50–75%), and (30–50–70%). Analytical expressions of the corresponding FFOPDT model parameters for these sets of symmetrical points have been obtained. In order to show the effectiveness and applicability of this procedure for the identification of fractional-order models and to get insight into the influence of selection of the set of symmetrical points on the accuracy of the identified model, some numerical examples are proposed. This identification procedure gives good results in comparison with other integer- and fractional-order identification methods. Finally, some conclusions and final remarks are offered in this context.

Suggested Citation

  • Juan J. Gude & Pablo García Bringas & Mohammad Alomari, 2022. "Influence of the Selection of Reaction Curve’s Representative Points on the Accuracy of the Identified Fractional-Order Model," Journal of Mathematics, Hindawi, vol. 2022, pages 1-22, June.
  • Handle: RePEc:hin:jjmath:7185131
    DOI: 10.1155/2022/7185131
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/jmath/2022/7185131.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/jmath/2022/7185131.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2022/7185131?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jjmath:7185131. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.