A hierarchical control structure is proposed for the adaptive cruise control system based on model predictive control. The upper controller is responsible for calculating the desired acceleration, and the lower controller obtains the corresponding throttle opening and brake cylinder pressure by the inverse vehicle dynamics model. In order to obtain the best acceleration, the driver's desired distance, the physical limitations of the vehicle itself and the influence of the acceleration of the previous vehicle are taken into account. The support vector machine algorithm is used to predict the future behavior of the preceding vehicle, and different weight parameter strategies are adopted. Finally, the simulation parameters and variable weight parameters are simulated by matlab/simulink and carsim respectively. The simulation results show that with the change of road conditions, the variable weight parameter can improve the performance of the vehicle adaptive cruise system, and significantly reduce the distance deviation between the system speed and the weighting strategy.

CICTP