基于汽车操纵逆问题的蛇行试验分析研究

bstract: Based on a two-degree-freedom closed-loop system, the simulation of vehicle snaking test is done. In this test, the simulation of different driver drive the same vehicle is accomplished by the difference of driver parameters, so using radial basis function neural networks, the mapping relationship between vehicle yaw velocity, lateral acceleration and steering angle can be found. With the founded radial basis function neural networks, the method of identification of steering angle by vehicle yaw velocity, lateral acceleration is established, the identification of results with vehicle snaking test show the proposed method is feasible and has high accuracy, better ability of anti-noise and little computation requirement .