IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v9y2021i13p1526-d584884.html
   My bibliography  Save this article

Eliminating Stick-Slip Vibrations in Drill-Strings with a Dual-Loop Control Strategy Optimised by the CRO-SL Algorithm

Author

Listed:
  • Jorge Pérez-Aracil

    (Department of Signal Processing and Communications, Universidad de Alcalá, Alcalá de Henares, 28805 Madrid, Spain)

  • Carlos Camacho-Gómez

    (Department of Information Systems, Universidad Politécnica de Madrid, Campus Sur, 28031 Madrid, Spain)

  • Emiliano Pereira

    (Department of Signal Processing and Communications, Universidad de Alcalá, Alcalá de Henares, 28805 Madrid, Spain)

  • Vahid Vaziri

    (School of Engineering, University of Aberdeen, Aberdeen AB24 3UE, UK)

  • Sumeet S. Aphale

    (School of Engineering, University of Aberdeen, Aberdeen AB24 3UE, UK)

  • Sancho Salcedo-Sanz

    (Department of Signal Processing and Communications, Universidad de Alcalá, Alcalá de Henares, 28805 Madrid, Spain)

Abstract

Friction-induced stick-slip vibrations are one of the major causes for down-hole drill-string failures. Consequently, several nonlinear models and control approaches have been proposed to solve this problem. This work proposes a dual-loop control strategy. The inner loop damps the vibration of the system, eliminating the limit cycle due to nonlinear friction. The outer loop achieves the desired velocity with a fast time response. The optimal tuning of the control parameters is carried out with a multi-method ensemble meta-heuristic, the Coral Reefs Optimisation algorithm with Substrate Layer (CRO-SL). It is an evolutionary-type algorithm that combines different search strategies within a single population, obtaining a robust, high-performance algorithm to tackle hard optimisation problems. An application example based on a real nonlinear dynamics model of a drill-string illustrates that the controller optimised by the CRO-SL achieves excellent performance in terms of stick-slip vibrations cancellation, fast time response, robustness to system parameter uncertainties and chattering phenomenon prevention.

Suggested Citation

  • Jorge Pérez-Aracil & Carlos Camacho-Gómez & Emiliano Pereira & Vahid Vaziri & Sumeet S. Aphale & Sancho Salcedo-Sanz, 2021. "Eliminating Stick-Slip Vibrations in Drill-Strings with a Dual-Loop Control Strategy Optimised by the CRO-SL Algorithm," Mathematics, MDPI, vol. 9(13), pages 1-16, June.
  • Handle: RePEc:gam:jmathe:v:9:y:2021:i:13:p:1526-:d:584884
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/9/13/1526/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/9/13/1526/
    Download Restriction: no
    ---><---

    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:gam:jmathe:v:9:y:2021:i:13:p:1526-:d:584884. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.