IDEAS home Printed from https://ideas.repec.org/a/igg/jncr00/v4y2014i2p40-58.html
   My bibliography  Save this article

SOSPD Controllers Tuning by Means of an Evolutionary Algorithm

Author

Listed:
  • Jesús-Antonio Hernández-Riveros

    (Facultad de Minas, Universidad Nacional de Colombia, Medellín, Colombia)

  • Jorge-Humberto Urrea-Quintero

    (Facultad de Minas, Universidad Nacional de Colombia, Medellín, Colombia)

Abstract

The Proportional Integral Derivative (PID) controller is the most widely used industrial device to monitoring and controlling processes. There are numerous methods for estimating the controller parameters, in general, resolving particular cases. Current trends in parameter estimation minimize an integral performance criterion. Therefore, the calculation of the controller parameters is proposed as an optimization problem. Although there are alternatives to the traditional rules of tuning, there is not yet a study showing that the use of heuristic algorithms it is indeed better than using the classic methods of optimal tuning. In this paper, the evolutionary algorithm MAGO is used as a tool to optimize the controller parameters. The procedure is applied to a range of standard plants modeled as a Second Order System plus Time Delay. Better results than traditional methods of optimal tuning, regardless of the operating mode of the controller, are yielded.

Suggested Citation

  • Jesús-Antonio Hernández-Riveros & Jorge-Humberto Urrea-Quintero, 2014. "SOSPD Controllers Tuning by Means of an Evolutionary Algorithm," International Journal of Natural Computing Research (IJNCR), IGI Global, vol. 4(2), pages 40-58, April.
    • Handle: RePEc:igg:jncr00:v:4:y:2014:i:2:p:40-58
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijncr.2014040103
    Download Restriction: no
    ---><---

    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:igg:jncr00:v:4:y:2014:i:2:p:40-58. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.