The Simulation Study of the Car Curve Traveling Traction Control System

Abstract

Article on the basis of analysis the impact of changes on the braking force in the tire vertical load and slip angle when the car turns, using the generated neural network force model of the tire, to find the optimum value of the slip ratio of the tire under different parameters. For the case of deviating from the expected running track when the car curve traveling. It puts forward the control strategy of using yaw moment technology to control vehicle stability, vehicle stability fuzzy controller is designed, cars driving in curve conditions are simulated. The results showed that the use of neural network seeks to control of identification of the tire characteristics and longitudinal forces optimal slip rate, can reduce the risk of deviations from the expected running track when cars driving in curve, improve tracking ability of the car driving in curve, it proposed the stability control method for improve driving safety has a certain significance.