IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i11p6698-d827958.html
   My bibliography  Save this article

Prediction of Clearance Vibration for Intelligent Vehicles Motion Control

Author

Listed:
  • Yunhe Zhang

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Faping Zhang

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Wuhong Wang

    (School of Mechanical Engineering, Beijing Institute of Technology, Beijing 100081, China)

  • Fanjun Meng

    (School of Mechanical and Electrical Engineering, Changchun University of Science and Technology, Changchun 130013, China)

  • Dashun Zhang

    (The 55 Research Institute of China North Industries Group Corporation Limited, Changchun 130012, China)

  • Haixun Wang

    (The 55 Research Institute of China North Industries Group Corporation Limited, Changchun 130012, China)

Abstract

Motion control analysis should consider the system’s uncertainty to ensure the intelligent vehicle’s autonomy. The clearance structure of the transmission shaft is modeled as a cantilever beam with double clearance to predict the clearance vibration for mitigating the nonlinearity. Based on the Kelvin–Voigt collision model, a clearance model was developed using time-varying parameters identified by the wavelet transform. Comparing the frequency response functions (FRF) of the initial model with constant parameters and the updated model with time-varying parameters, the experimental results from the updated model indicate that the modal assurance criterion (MAC) is increased by 42.92%, 31.08%, 38.97%, and 50.74% in the first-four order. Cross-signature assurance criteria (CSAC) and cross-signature scale factor (CSF) have been increased by 6.55% and 12.37%. The control method based on the clearance model has been verified. In the case of 120 km/h, compared with model-predictive control (MPC) and sliding mode control (SMC), the peak of the lateral position error was reduced by 35.7% and 14.3%, and the peak of the heading error was reduced by 50% and 15.6%.

Suggested Citation

  • Yunhe Zhang & Faping Zhang & Wuhong Wang & Fanjun Meng & Dashun Zhang & Haixun Wang, 2022. "Prediction of Clearance Vibration for Intelligent Vehicles Motion Control," Sustainability, MDPI, vol. 14(11), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:11:p:6698-:d:827958
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/11/6698/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/14/11/6698/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Kekun Zhang & Dayi Qu & Hui Song & Tao Wang & Shouchen Dai, 2022. "Analysis of Lane-Changing Decision-Making Behavior and Molecular Interaction Potential Modeling for Connected and Automated Vehicles," Sustainability, MDPI, vol. 14(17), pages 1-20, September.

    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:jsusta:v:14:y:2022:i:11:p:6698-:d:827958. 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.