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<p>This paper proposes an integrated approach for enhancing the steering performance of steer-by-wire (SBW) vehicles. Firstly, a new variable steering ratio design is introduced encompassing both low-to-medium and high-speed ranges. The design ensures a constant steady-state yaw rate gain at low-to-medium speeds, achieved via a novel sorting method underpinned by a comprehensive objective evaluation index, and employs fuzzy control (FC) for enhancement at high speeds to meet driver preferences. Next, an active front steering (AFS) controller is designed based on the global fast terminal sliding mode control (GFTSMC) algorithm to improve the vehicle handing stability. Furthermore, a model predictive control (MPC) algorithm is implemented to achieve precise front wheel steering angle tracking. Finally, the proposed integrated approaches are validated through simulations in the CarSim-MATLAB/Simulink environment. The variable steering ratio design enhances steering sensitivity and driving convenience at low speeds, retains a traditional steering feel at medium speeds, and substantially improves driving stability and safety at high speeds. The AFS controller notably enhances handling stability on low-adhesion road by adjust the front wheel steering angle dynamically. Furthermore, it is evident that the MPC algorithm excels in tracking accuracy compared to some other methods, with its reduced root mean square error (RMSE) and mean absolute error (MAE) for a range of signal types.</p>

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A model predictive control algorithm for angle tracking of steer-by-wire vehicles with variable steering ratio and active front steering

  • 期刊论文

  • 发表日期：

    2025年4月17日

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  • Yuhang Wen,
  • Liqiang Jin,
  • Andong Li,
  • Zhen Zhong,
  • Fei Zhang,
  • Changjie Yin,
  • Yin Zhang

摘要

This paper proposes an integrated approach for enhancing the steering performance of steer-by-wire (SBW) vehicles. Firstly, a new variable steering ratio design is introduced encompassing both low-to-medium and high-speed ranges. The design ensures a constant steady-state yaw rate gain at low-to-medium speeds, achieved via a novel sorting method underpinned by a comprehensive objective evaluation index, and employs fuzzy control (FC) for enhancement at high speeds to meet driver preferences. Next, an active front steering (AFS) controller is designed based on the global fast terminal sliding mode control (GFTSMC) algorithm to improve the vehicle handing stability. Furthermore, a model predictive control (MPC) algorithm is implemented to achieve precise front wheel steering angle tracking. Finally, the proposed integrated approaches are validated through simulations in the CarSim-MATLAB/Simulink environment. The variable steering ratio design enhances steering sensitivity and driving convenience at low speeds, retains a traditional steering feel at medium speeds, and substantially improves driving stability and safety at high speeds. The AFS controller notably enhances handling stability on low-adhesion road by adjust the front wheel steering angle dynamically. Furthermore, it is evident that the MPC algorithm excels in tracking accuracy compared to some other methods, with its reduced root mean square error (RMSE) and mean absolute error (MAE) for a range of signal types.