Research on adaptive model predictive control of vehicle queue
To prevent the overly long workshop distance between vehicles in a queue and the low speed as well as to avoid collisions between the vehicles under the condition of rapid deceleration,we study an adaptive model predictive control method for the vehicle queue.Based on the model predictive control theory,the upper controller is designed.The rear car calculates the acceleration according to the information of the front one.The fuzzy controller is designed to dynamically adjust the weight ratio of the model predictive control to improve the control accuracy.The co-simulation model is built in MATLAB/Simulink and CarSim software platform.The experimental conditions are created and a comparison experiment is conducted.Results show our method achieves fairly good workshop distance control and fast convergence speed,improving the overall driving safety.
queue vertical controldistributed model predictive controlvehicle formationstabilityfuzzy control
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