Mining truck suspensions are prone to performance degradation under complex external excitation of the mining area, leading to high safety risks and maintenance costs. However, the lack of unsprung kinematic information and harsh operating environments lead to inadequate accuracy of current physical models. On the other hand, data-driven methods partially address the issue of incomplete information, but suffer from the absence of interpretability and generalization. To address these challenges, this paper introduces a Physics-Informed Neural Network (PINN) for precise suspension characteristic identification of mining trucks. Specifically, the physical model of the longitudinal-vertical dynamics of the mining truck is established. Then, based on the model, baseline values of suspension parameters are regressed through the instrumental variable method. Therefore, the hybrid modeling architecture is established to precisely identify suspension parameters by utilizing a recurrent neural network. Under this architecture, the states of the mining truck can be effectively updated. Real truck experiments demonstrate the proposed hybrid model outperforms traditional physical and data-driven models in estimating suspension nonlinear parameters and truck dynamic characteristics under typical longitudinal motions.


    Access

    Download


    Export, share and cite



    Title :

    Physics-Informed Neural Network for Mining Truck Suspension Parameters Identification


    Additional title:

    Lect.Notes Mechanical Engineering


    Contributors:

    Conference:

    Advanced Vehicle Control Symposium ; 2024 ; Milan, Italy September 01, 2024 - September 05, 2024



    Publication date :

    2024-10-04


    Size :

    7 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Double-wishbone suspension of mining dump truck

    DONG ZHIMING / GUO HAIQUAN / LIU WENZHONG et al. | European Patent Office | 2024

    Free access

    Mining truck front suspension outer cylinder base

    LI CHANGYUN | European Patent Office | 2015

    Free access

    Hydro-pneumatic suspension and mining dump truck

    GENG YANCHAO / LIU QINGJIAO / LIU PENG et al. | European Patent Office | 2020

    Free access

    Parameter Identification in Manufacturing Systems Using Physics-Informed Neural Networks

    Khalid, Md Meraj / Schenkendorf, René | Springer Verlag | 2024


    The Physics-Informed Neural Network Gravity Model Generation III

    Martin, John / Schaub, Hanspeter | Springer Verlag | 2025