Simulation of Model Predictive Control for Driving Stability of Electric Vehicle
In order to improve the driving stability of electric vehicle,an integrated vehicle and wheel stability control system was proposed,and the vehicle driving stability control effect was simulated.The model diagram of electric vehicle was created,and the dynamic equation of electric vehicle was given.An integrated vehicle and wheel stability controller was designed by using model predictive control technology.The yaw rate,driving speed and sideslip angle of electric vehicle were simulated by MATLAB software,and the results were compared with those of model free predictive controller.The results show that the tracking errors of yaw rate and driving speed were larger,the vibration amplitude and sideslip angle were larger by using model free pre-dictive controller.The tracking error of yaw rate and driving speed of electric vehicle was smaller,the vibration amplitude and sideslip angle were smaller by using model predictive controller.The model predictive controller can improve the driving stability of the electric vehicle and avoid the rollover phenomenon when the vehicle suddenly turns.
Model Predictive ControlVehicleYaw RateSpeedSideslip AngleSimulation
NETL
NSTL
万方数据
维普
