Vehicle Stability Control Study Based on Neural Network Predictive Method

Abstract

A control method is proposed to improve vehicle yaw stability based on neural network predictive. A vehicle steering model using neural network control strategy is set up, at the same time, the nonlinear predictive functional control using the neural network model is developed for control of high-nonlinear system. New structure of neural network multi-step prediction that is different from cascade or parallel is given. The results illustrate that the nonlinear predictive functional control using neural network model is more effective for control nonlinear system than PID control. A simulation is performed with it during two different conditions: step input and sinusoidal input, the results showed that compared with uncontrolled, the presented controller achieve good steady response of side slip angle and yaw rate, and lighten the burden of the driver and improve vehicle yaw stability.