Vehicle stability control approach based on virtual reality

A neural network controller for vehicle stability control was developed based on the virtual reality platform. The virtual reality platform was constructed with real vehicle, virtual ground, vehicle dynamics model etc. The neural network approximate model was used to identify vehicle dynamics system and the self-tuning controller was obtained by rearrangement of the neural network object model. The controller was designed to generate additional yaw moment and make the yaw rate tracking the desired trajectory. Vehicle response and its interactions with drivers were investigated and virtual simulations of a vehicle under human avoidance maneuver were conducted on the virtual reality platform. The simulated results showed that the vehicle stability controller could improve vehicle handling and stability significantly.