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

Against the backdrop of the continuous expansion of the automotive industry, consumer demand is undergoing a profound shift from quantity to quality. Conventional steering systems, due to their lack of dynamic adaptation to driver styles, struggle to meet the diverse needs of different user groups. To address this challenge, this study proposes a personalized steering feel control strategy, which achieves precise control of target steering feel by integrating driving style identification and closed-loop control strategies. Subsequently, this study validates the effectiveness and robustness of the proposed control method using a driving simulator. The results demonstrate that the proposed control strategy delivers effective performance across multiple operating conditions, providing drivers with a comfortable and satisfying steering feel, thereby enhancing their driving experience.

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Publication Details

Journal
Sensors
Published
2025-12-18
DOI
https://doi.org/10.3390/s25247686
Primary Topic
Vehicle Dynamics and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

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

Chao Dai, Binggen Zhao, Chunguang Duan, Yinsheng Liao et al.
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Vehicle Dynamics and Control Systems
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Personalized Steering Feel Control Based on Driving Style Recognition and Closed-Loop Motion Regulation

Chao Dai, Binggen Zhao, Chunguang Duan, Yinsheng Liao, Pingping Lu, Yimeng Song, Jun Zhan, Shenzhen Gao, Hsin Guan
article en

Abstract

Against the backdrop of the continuous expansion of the automotive industry, consumer demand is undergoing a profound shift from quantity to quality. Conventional steering systems, due to their lack of dynamic adaptation to driver styles, struggle to meet the diverse needs of different user groups. To address this challenge, this study proposes a personalized steering feel control strategy, which achieves precise control of target steering feel by integrating driving style identification and closed-loop control strategies. Subsequently, this study validates the effectiveness and robustness of the proposed control method using a driving simulator. The results demonstrate that the proposed control strategy delivers effective performance across multiple operating conditions, providing drivers with a comfortable and satisfying steering feel, thereby enhancing their driving experience.

SensorsVol. 25(24)
Jilin University (CN), SAIC Motor (China) (CN)
Department of Science and Technology of Jilin Province
Openalex Percentile: Top 56%
Vehicle Dynamics and Control Systems
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