IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/6590383.html
   My bibliography  Save this article

Path Tracking Control of Automatic Parking Cloud Model considering the Influence of Time Delay

Author

Listed:
  • Yiding Hua
  • Haobin Jiang
  • Yingfeng Cai
  • Xupei Zhang
  • Shidian Ma
  • Di Wu

Abstract

This paper establishes the kinematic model of the automatic parking system and analyzes the kinematic constraints of the vehicle. Furthermore, it solves the problem where the traditional automatic parking system model fails to take into account the time delay. Firstly, based on simulating calculation, the influence of time delay on the dynamic trajectory of a vehicle in the automatic parking system is analyzed under the transverse distance between different target spaces. Secondly, on the basis of cloud model, this paper utilizes the tracking control of an intelligent path closer to human intelligent behavior to further study the Cloud Generator-based parking path tracking control method and construct a vehicle path tracking control model. Moreover, tracking and steering control effects of the model are verified through simulation analysis. Finally, the effectiveness and timeliness of automatic parking controller in the aspect of path tracking are tested through a real vehicle experiment.

Suggested Citation

  • Yiding Hua & Haobin Jiang & Yingfeng Cai & Xupei Zhang & Shidian Ma & Di Wu, 2017. "Path Tracking Control of Automatic Parking Cloud Model considering the Influence of Time Delay," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-14, February.
  • Handle: RePEc:hin:jnlmpe:6590383
    DOI: 10.1155/2017/6590383
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/MPE/2017/6590383.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/MPE/2017/6590383.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/2017/6590383?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:6590383. 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.