IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i9p1467-d803472.html
   My bibliography  Save this article

Predictive Suspension Algorithm for Land Vehicles over Deterministic Topography

Author

Listed:
  • Alejandro Bustos

    (Department of Mechanical Engineering, Universidad Carlos III de Madrid, 28911 Leganes, Spain)

  • Jesus Meneses

    (Department of Mechanical Engineering, Universidad Carlos III de Madrid, 28911 Leganes, Spain)

  • Higinio Rubio

    (Department of Mechanical Engineering, Universidad Carlos III de Madrid, 28911 Leganes, Spain)

  • Enrique Soriano-Heras

    (Department of Mechanical Engineering, Universidad Carlos III de Madrid, 28911 Leganes, Spain)

Abstract

A good suspension system is mandatory for ensuring stability, comfort and safety in land vehicles; therefore, advanced semi and fully active suspension systems have been developed along with their associated management strategies to overcome the limitations of passive suspensions. This paper presents a suspension algorithm for land vehicles traveling through a deterministic topography. The kinematics of a half-vehicle model and the algorithm are implemented in Simulink. The algorithm’s inputs are the measurements provided by a position scanner located on the front wheel of the vehicle. Based on this input, the algorithm reconstructs the topography in real-time and sends the corresponding command to an actuator located on the rear wheel to compensate for the irregularities of the terrain. The actuation is governed by the parameter “ D ”, which represents the distance over which the algorithm averages the height of the terrain. Two ground profiles were tested and sensitivity analysis of the parameter “ D ” was performed. Results show that larger values of “ D ” usually yield less vibration on the actuated mass, but this value also depends on the irregularities of the terrain.

Suggested Citation

  • Alejandro Bustos & Jesus Meneses & Higinio Rubio & Enrique Soriano-Heras, 2022. "Predictive Suspension Algorithm for Land Vehicles over Deterministic Topography," Mathematics, MDPI, vol. 10(9), pages 1-20, April.
    • Handle: RePEc:gam:jmathe:v:10:y:2022:i:9:p:1467-:d:803472
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/9/1467/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/10/9/1467/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Daniel Rodriguez-Guevara & Antonio Favela-Contreras & Francisco Beltran-Carbajal & David Sotelo & Carlos Sotelo, 2021. "Active Suspension Control Using an MPC-LQR-LPV Controller with Attraction Sets and Quadratic Stability Conditions," Mathematics, MDPI, vol. 9(20), pages 1-17, October.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      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:10:y:2022:i:9:p:1467-:d:803472. 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.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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.