Aiming at the problem that the adaptive cruise system of automobile is not adaptive when facing complex working conditions, an adaptive cruise hierarchical control strategy based on Takagi-Sugeno fuzzy model predictive control (T-S MPC) is proposed. Firstly, the upper controller divides the adaptive cruise system into fixed-speed cruise mode, following mode with multi-objective optimal control and emergency braking mode based on the safety distance model. Thelowercontrollertransformsthe desired acceleration outputfrom the uppercontrollerinto throttleopening or braking pressure based on the inverse vehicle dynamics model. Secondly, considering the influence of the weighting coefficients on the control accuracy, the control strategy is established based on the T-S fuzzy control based variable weightmodelpredictive controller. Finally, Carsim Simulink joint simulation platform is built to verify the accuracy, adaptability and tracking response speed ofthe controlstrategy. The results show thatthe tracking responsetimeofthe T-S MPC controlmethod is1.54 s, which isfasterthan the tracking responseofPID and traditionalMPC controlin the cruising condition. In thefollowing and mixing conditions, therootmean squareerroroftheT-SMPC controlmethod is 0.3073 and 2.775, which is lower than that of the PID, PID+LQR, and traditional MPC control, and it has good adaptability, which effectively improves the following performance and safety. This effectively improves the following performance and safety.