TY - JOUR
T1 - Global coordinated control framework for advanced all-wheel steering and driving vehicles
T2 - Unleashing potential through tire slip state assessment
AU - Yin, Xiaoxuan
AU - Zhang, Lei
AU - Ding, Xiaolin
AU - Sun, Fengchun
AU - Dorrell, David
N1 - Publisher Copyright:
© 2026
PY - 2026/10
Y1 - 2026/10
N2 - To address the challenge of efficient actuator coordination in all-wheel steering and driving vehicles, this paper proposes a global coordinated control framework based on tire slip state assessment. First, a hybrid feedforward control method comprising steady-state control, dynamic compensation, and oblique steering compensation is proposed to respond rapidly to the driver's demands under various driving conditions. Then, considering different steering modes of four-wheel steering vehicles, a driver intention interpretation method that integrates conventional steering and oblique steering is developed. Subsequently, a sliding mode control algorithm is utilized to track the driver's desired motion states, improving the vehicle's robustness against system disturbances. Moreover, taking lateral acceleration and yaw rate as inputs, a coordinated strategy for the four-wheel steering angles and driving torques is established based on tire slip state assessment. Finally, hardware-in-the-loop test results show that, compared to the model predictive control (MPC) algorithm, the proposed control scheme increases the maximum speed in double lane-change maneuvers by 13%, significantly improving the vehicle handling performance under different driving conditions.
AB - To address the challenge of efficient actuator coordination in all-wheel steering and driving vehicles, this paper proposes a global coordinated control framework based on tire slip state assessment. First, a hybrid feedforward control method comprising steady-state control, dynamic compensation, and oblique steering compensation is proposed to respond rapidly to the driver's demands under various driving conditions. Then, considering different steering modes of four-wheel steering vehicles, a driver intention interpretation method that integrates conventional steering and oblique steering is developed. Subsequently, a sliding mode control algorithm is utilized to track the driver's desired motion states, improving the vehicle's robustness against system disturbances. Moreover, taking lateral acceleration and yaw rate as inputs, a coordinated strategy for the four-wheel steering angles and driving torques is established based on tire slip state assessment. Finally, hardware-in-the-loop test results show that, compared to the model predictive control (MPC) algorithm, the proposed control scheme increases the maximum speed in double lane-change maneuvers by 13%, significantly improving the vehicle handling performance under different driving conditions.
KW - Chassis coordinated control
KW - Driver intention interpretation
KW - Four-wheel-steering and four-wheel-driving vehicles
KW - Tire slip state assessment
UR - https://www.scopus.com/pages/publications/105041378822
U2 - 10.1016/j.geits.2026.100427
DO - 10.1016/j.geits.2026.100427
M3 - Article
AN - SCOPUS:105041378822
SN - 2773-1537
VL - 5
JO - Green Energy and Intelligent Transportation
JF - Green Energy and Intelligent Transportation
IS - 5
M1 - 100427
ER -