Intelligent vehicle lateral control based on radial basis function neural network sliding mode controller

Based on the predigestion of dynamic model intelligent firefighting vehicle, a linear 2-DOF lateral and preview error are established. To solve problems highly non-linear vehicle model, time-varying parameters, output chattering, poor robustness, Radial Basis Function neural network sliding mode controller is designed. Then, different driving speeds used to conduct simulation tests under standard double-shifting smooth curve road conditions, results analyse tracking effect motion desired path. The reveal that designed has high accuracy in path good robustness disturbance speed changes.