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Personalized Steering Feel Control Based on Driving Style Recognition and Closed-Loop Motion Regulation.

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This study introduces a personalized steering control strategy that adapts to individual driving styles. The system enhances driver comfort and satisfaction by providing a tailored steering feel.

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Area of Science:

  • Automotive Engineering
  • Human-Computer Interaction
  • Control Systems

Background:

  • Automotive industry growth necessitates higher quality and personalized experiences.
  • Conventional steering systems lack adaptability to diverse driver styles.
  • Meeting varied user needs requires advanced control strategies.

Purpose of the Study:

  • To develop a personalized steering feel control strategy.
  • To integrate driving style identification with closed-loop control.
  • To enhance driver comfort and satisfaction through adaptive steering.

Main Methods:

  • Proposed a personalized steering feel control strategy.
  • Integrated driving style identification with closed-loop control.
  • Validated the strategy using a driving simulator.

Main Results:

  • The control strategy precisely achieved target steering feel.
  • Demonstrated effective performance across multiple operating conditions.
  • Confirmed robustness of the proposed control method.

Conclusions:

  • The personalized steering control strategy enhances driving experience.
  • Adaptive steering feel improves driver comfort and satisfaction.
  • The method offers a viable solution for modern automotive demands.