Keywords : Lateral motion of vehicle
journal of kerbala university,
2015, Volume 11, Issue 2, Pages 177-187
In this research a neural model is proposed to predict the lateral force which affects the lateral motion dynamics of a vehicle during its travel. Neural networks technique is used to predict the lateral 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 angle and normal load exerted on the tires. The results show that the model is capable of predicting the dynamic response to lateral motion represented by the dynamic response to yaw rate and side velocity when a vehicle negotiating a turn at different conditions. The lateral motion dynamics of a vehicle during its travel is affected by several parameters. The interaction between these parameters and states-variables is governed by nonlinear relations.