Neural Network Control Approach for Improving Vehicle Stability

A neural network controller for direct yaw moment control was developed to improve the vehicle stability. The neural network approximate model was used to identify the vehicle system and then the controller was obtained by rearrangement of the neural network plant model. The controller was designed to generate additional yaw moment and make the yaw rate tracking the desired trajectory. The numerical simulation of a vehicle under severe cornering maneuver has been carried out with and without the use of the controller. Simulation results indicate that the vehicle handling and stability are significantly improved as compared to the uncontrolled one