Abstract
The paper presents the design of a neural network controller based on virtual reality technology for vehicle stability control system. The neural network controller is developed based on the nonlinear autoregressive moving average (NARMA-L2) algorithm to generate additional yaw moment and make yaw rate tracking the desired trajectory. In order to train and verify the neural network controller, the virtual experiments of vehicle handling stability were carried out on the virtual driving simulation platform, realizing human-in-loop simulation of driving maneuver. The simulation results show that the neural network controller can improve vehicle handling stability significantly.
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