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The driving torque of distributed drive electric vehicles has independent control characteristics for a single wheel, which the slip-ratio tracking control can be achieved based on the synergistic action of the torque actuator and in-wheel motor. Based on the analysis of the vehicle dynamic model and Burckhardt wheel model, a wheel slip ratio controller is designed under the condition of considering vehicle disturbance with a Radial Basis Function Neural Network in this paper. The simulation results show that the controller can achieve the optimal wheel slip ratio control and effectively enhance the rapidity and robustness of the vehicle control system.

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Neural Network-Based Adaptive Sliding Mode Control for Wheel Slip Ratio Control System

  • 会议论文

  • 发表日期：

    2025年

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  • Junhua Li,
  • William Cai,
  • Minghao Zhou,
  • Ying Xie,
  • Yue Tang,
  • Fei Liu

摘要

The driving torque of distributed drive electric vehicles has independent control characteristics for a single wheel, which the slip-ratio tracking control can be achieved based on the synergistic action of the torque actuator and in-wheel motor. Based on the analysis of the vehicle dynamic model and Burckhardt wheel model, a wheel slip ratio controller is designed under the condition of considering vehicle disturbance with a Radial Basis Function Neural Network in this paper. The simulation results show that the controller can achieve the optimal wheel slip ratio control and effectively enhance the rapidity and robustness of the vehicle control system.