IDEAS home Printed from https://ideas.repec.org/a/eur/ejfejr/60.html
   My bibliography  Save this article

Design and Application of Optimally-Tuned Variable Parameters PID Controller for Nonlinear Engineering Systems

Author

Listed:
  • Magdy A. S. Aboelela

    (Faculty of Engineering, Cairo University, Electrical Power Dept., Giza 12613, Egypt)

Abstract

The goal of this article is to investigate the implementation of the Cuckoo Search Algorithm (CSA) as an optimization technique to determine the parameters of variable parameters PID (VP-PID) controller. The VP-PID has three parameters that have to be optimally evaluated. A case of three physical imbedded nonlinearities in a single area electric power system has been selected to test the suitability of the proposed technique. The integral-square error (ISE) criterion has been considered as a part of the objective function together with the percentage overshoot and settling time. Matlab/Simulink software has been used in the simulation process. The simulation results show that the proposed VP-PID controller furnishes a better performance than the conventional PID controller.

Suggested Citation

  • Magdy A. S. Aboelela, 2022. "Design and Application of Optimally-Tuned Variable Parameters PID Controller for Nonlinear Engineering Systems," European Journal of Formal Sciences and Engineering, European Center for Science Education and Research, vol. 5, July - De.
  • Handle: RePEc:eur:ejfejr:60
    DOI: 10.26417/ejef.v4i1.p14-20
    as

    Download full text from publisher

    File URL: https://revistia.com/index.php/ejfe/article/view/1817
    Download Restriction: no

    File URL: https://revistia.com/files/articles/ejfe_v5_i2_22/Aboelela.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.26417/ejef.v4i1.p14-20?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
    ---><---

    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:eur:ejfejr:60. 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: Revistia Research and Publishing (email available below). General contact details of provider: https://revistia.com/index.php/ejfe .

    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.