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<p>To address the impact of parameter uptake and external environmental disturbances on the vehicle's traverse stabilization system, as well as consider the issue of control system jitter, this study proposes a direct traverse moment control strategy. This strategy is based on the super-twisting sliding mode control theory, utilizing the traverse angular velocity as the control variable. Utilizing a joint simulation framework integrating CarSim and Simulink, the super-twisting sliding mode control strategy proposed in this study is validated in comparative simulation with traditional sliding mode control and fuzzy sliding mode control strategies. This comparison is conducted under the double-shifted line test condition to verify the effectiveness of the proposed strategy. The simulation results demonstrate that the vehicle's lateral swing angular velocity and center-of-mass lateral deviation angle deviation are lower under the super-twisting sliding mode control compared to the traditional sliding mode and fuzzy sliding mode control. Vehicles equipped with the super-twisting sliding mode control technique exhibit better trajectory following, reduced fluctuation in drive torque, faster overall control response, and efficient oscillation suppression. This study confirms that the super-twisting sliding mode control algorithm can improve driving safety by greatly enhancing the vehicle's yaw stability control and reducing system shaking caused by sliding mode controllers.</p>

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Research on Yaw Stability Control of Distributed Drive Electric Vehicle Based on Super-twisting Sliding Mode Algorithm

  • 期刊论文

  • 发表日期：

    2025年2月4日

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  • Qixun Zhou,
  • Yingxing Zhang,
  • Kaiying Gao,
  • Wenzeng Kong,
  • Guanghui Du

摘要

To address the impact of parameter uptake and external environmental disturbances on the vehicle's traverse stabilization system, as well as consider the issue of control system jitter, this study proposes a direct traverse moment control strategy. This strategy is based on the super-twisting sliding mode control theory, utilizing the traverse angular velocity as the control variable. Utilizing a joint simulation framework integrating CarSim and Simulink, the super-twisting sliding mode control strategy proposed in this study is validated in comparative simulation with traditional sliding mode control and fuzzy sliding mode control strategies. This comparison is conducted under the double-shifted line test condition to verify the effectiveness of the proposed strategy. The simulation results demonstrate that the vehicle's lateral swing angular velocity and center-of-mass lateral deviation angle deviation are lower under the super-twisting sliding mode control compared to the traditional sliding mode and fuzzy sliding mode control. Vehicles equipped with the super-twisting sliding mode control technique exhibit better trajectory following, reduced fluctuation in drive torque, faster overall control response, and efficient oscillation suppression. This study confirms that the super-twisting sliding mode control algorithm can improve driving safety by greatly enhancing the vehicle's yaw stability control and reducing system shaking caused by sliding mode controllers.