In the study of stability control for intelligent vehicle, the changes of model parameters and external disturbances such as lateral wind and road adhesion coefficient, which may lead to instability and poor robust stability. In order to improve the riding stability of intelligent vehicles under random interference, a stability control strategy based on Active Front Steering（AFS） and Direct Yaw moment Control（DYC） coordinated control is proposed. Firstly, a two-degree-of-freedom dynamic model of the vehicle is established. Secondly, a front wheel active steering controller based on robust adaptive sliding mode control is designed by combining adaptive law and sliding mode control to suppress the disturbance in the vehicle running, which solves the robust control problem of nonlinear systems with time-varying parameters, uncertainty and unknown disturbance. The yaw moment controller based on genetic optimization fuzzy control is used to solve the additional yaw moment to restore the stable running of the vehicle. Based on Simulink and CarSim simulation platform, the stability control method is simulated under step disturbance, sinusoidal disturbance and mixed disturbance. The results show that the coordinated control significantly reduces the additional yaw torque output of the vehicle, which can be well inhibited interference and fully ensure riding stability of the vehicle.

Random interference  /  Coordinated control  /  Stability  /  Robust synovial control  /  Genetic optimization fuzzy control