An adaptive fuzzy super-twisting control law is proposed to meet the high-precision and robust control requirements for ultra-high speed vehicle under multi-source disturbances.First，a control-oriented dynamic model for ultra-high speed vehicle is established.Second，the controller is designed by the generalized super-twisting algorithm to achieve the high-precision convergence of sliding mode variables and tracking errors.Meanwhile，a high-order homogeneous observer is introduced into the controller to estimate the complex disturbances of the vehicle，and feedforward compensation is done in the control law，which can improve the robustness of the controller.Subsequently，a direct correlation between the control gain and the sliding mode variables is established based on the adaptive fuzzy law and expert experience.Compared with traditional adaptive laws，the proposed adaptive law can achieve the control gain adjustment quickly，while balancing the control requirements such as response speed，robustness，and chattering suppression.Finally，an ultra-high speed vehicle considering complex multi-source disturbances is simulated，and the obtained results demonstrate that the adaptive fuzzy super-twisting control law is effective.