IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/2028196.html
   My bibliography  Save this article

Parameter Identification of the Vortex-Induced Vertical Force Model Using a New Adaptive PSO

Author

Listed:
  • Xiaoxia Tian
  • Jingwen Yan
  • Chi Xiao

Abstract

The paper proposes a new adaptive PSO (NAPSO) that adaptively adjust the inertial weight of every particle according to its own current fitness. In NAPSO, the searching ability of each particle is controlled by the inertial weight. In pursuit of the optimal solution, if a particle has a rather small value of normalized fitness, it has a small inertia weight so as to increase local searching ability; on the contrary, it has a large inertia weight to increase global searching ability. Simulation results include three parts: the NAPSO shows fast convergence and good stability compared with other PSOs; the NAPSO shows good fit and short run-time compared with GA and GALMA; according to the identified parameters, the time history of predicted vertical displacement is quite in accordance with the time history of measured displacement. As far as the nonlinear VIVF model is concerned, the NAPSO is a simple and effective identification method.

Suggested Citation

  • Xiaoxia Tian & Jingwen Yan & Chi Xiao, 2018. "Parameter Identification of the Vortex-Induced Vertical Force Model Using a New Adaptive PSO," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-9, October.
    • Handle: RePEc:hin:jnlmpe:2028196
    DOI: 10.1155/2018/2028196
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2018/2028196.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2018/2028196.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2018/2028196?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:jnlmpe:2028196. 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.