Study On Fuzzy PID Method For Adaptive Cruise Control System Of Vehicles

Adaptive Cruise Control(ACC)is one of the key techniques of autonomous driving control in vehicle intelligent driving assistance technology.The ACC system can automatically adjust the speed of the ACC vehicle according to the state of the front vehicle,keeping the ACC vehicle in a safe distance from the front vehicle.It can avoid the rear-end collision and improve the road efficiency,and relieve the driving pressure to a great extent.Therefore,the research of vehicle Adaptive Cruise Control is of great significance to the intelligent driving of vehicles.In this paper,Fuzzy PID control method were applied to examine the vehicle ACC system from three aspects.First,the basic concept and key components of vehicle ACC system were expounded.The overall designing scheme of vehicle ACC system in this paper is described from five dimensions,including ACC working mode and mode switching,hierarchical control scheme,driving-braking selection,safe spacing strategy and comfort evaluation.Second,the vehicle longitudinal dynamics model and inverse longitudinal dynamics model were established by using Carsim and MATLAB/Simulink.Through simulation,the basic range of 6),6)and 6)was determined.On this basis,the Fuzzy PID control algorithm of the ACC system was designed by comprehensively considering seven different driving conditions and vehicle riding comfort under two cruise mode and the simulation models of two controllers of the two mode are established.Third,the co-simulation model of MATLAB/Simulink/Carsim for Fuzzy PID control of ACC system was designed and built.The joint simulation analysis of vehicle ACC system under seven different conditions was carried out.The simulation results showed that the ACC system designed in this paper not only ensured the safety and stability of vehicle following,but also ensured the vehicle riding comfort.