Modeling Lateral Motion of a Vehicle Using Neural Networks technique

In this research a neural model is proposed to predict the lateral force which affects the lateralmotion dynamics of a vehicle during its travel. Neural networks technique is used to predict thelateral force through learning it the previous information about the relations among lateral force,variation in air pressure inside the tire, friction coefficient between tire and road, sideslip angleand normal load exerted on the tires. The results show that the model is capable of predicting thedynamic response to lateral motion represented by the dynamic response to yaw rate and sidevelocity when a vehicle negotiating a turn at different conditions. The lateral motion dynamics ofa vehicle during its travel is affected by several parameters. The interaction between theseparameters and states-variables is governed by nonlinear relations.