Research on Adaptive Model Predictive Control of Vehicle Queue
摘要
In order to prevent the workshop distance between the vehicle queue is too long and the convergence speed is slow, and aiming at the problem of collision between the vehicle behind and the vehicle in front of the vehicle queue under the condition of rapid deceleration, an adaptive model predictive control method for the vehicle queue is studied. Based on the model predictive control theory, the upper controller was designed. The rear car calculated the acceleration according to the information of the front car. The fuzzy controller was designed to dynamically adjust the weight ratio of the model predictive control to improve the control accuracyThe co-simulation model was established in MATLAB/Simulink and CarSim software platform, the simulation experimental conditions were designed, and the comparison experiment was verified. The results show that the proposed method has good workshop distance control effect, fast convergence speed and improved driving safety.