Steering Control Method for Autonomous Vehicles Based on Internet of Vehicles Technology
Currently,model predictive control combined with vehicle networking technology has become a hot research field in automotive system control.In response to the problems of low accuracy and high delay in steering control of unmanned vehicles under traditional control methods,the study combines vehicle networking technology,unmanned vehicles,and steering control.Firstly,an unmanned driving control system is constructed using vehicle networking technology,and then a vehicle steering control model is con-structed using model predictive control.The research results indicate that the constructed model can effectively control the changes in vehicle parameters,making its simulation trajectory basically coincide with the reference trajectory.Compared with other traditional control algorithms,the model predictive control algorithm has a control accuracy of 97.8％,an error rate of 1.05％,and a system re-sponse time of 1.01 s.In summary,the steering control model designed by this research institute has good performance and can pro-vide certain reference value for optimizing the steering control of autonomous vehicles.
internet of vehiclesunmanned drivingturncontrolautomobile
万方数据
维普
