IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/684094.html
   My bibliography  Save this article

Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers

Author

Listed:
  • Juing-Shian Chiou
  • Huu-Khoa Tran
  • Shou-Tao Peng

Abstract

Based on some sort of simplified fuzzy reasoning methods and PID parameters, many fuzzy-PID controller schemes are applied to control the complicated systems, recently. Mathematical optimization calculations are making in encouraging EP with PSO yielding a higher-quality solution. In this paper, a novel HEPSO algorithm as an improved variant of stochastic optimization strategy PSO, which assigns optimization to fuzzy-PID control gains, is established. The benefit integration design of the HEPSO algorithm structure is generating and updating the new parameters for the fuzzy-PID control schemes in the short setting and operation time. The proposed controllers have demonstrated performance to MAV models.

Suggested Citation

  • Juing-Shian Chiou & Huu-Khoa Tran & Shou-Tao Peng, 2015. "Design Hybrid Evolutionary PSO Aiding Miniature Aerial Vehicle Controllers," Mathematical Problems in Engineering, Hindawi, vol. 2015, pages 1-7, October.
    • Handle: RePEc:hin:jnlmpe:684094
    DOI: 10.1155/2015/684094
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2015/684094.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/MPE/2015/684094.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2015/684094?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:684094. 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.