Simulation Research on Vehicle Handling Inverse Dynamics Based on Radial Basis Function Neural Networks

摘要

Based on a brief review of the developing history of vehicle steering inverse dynamics, and using radial basis function neural network, the nonlinear mapping relation between lateral angular velocity and steering angle input is found. The identification results of step and sine steering angle input show that the proposed identification method is not only practical, but also with high accuracy.