基于汽车操纵逆问题的蛇行试验分析研究

在驾驶员-汽车二自由度闭环系统模型基础上,进行汽车蛇行试验仿真,通过驾驶员熟练程度参数的差异,模拟不同驾驶员驾驶同一辆车的情况,从而利用径向基网络,建立闭环系统汽车横摆角速度、侧向加速度与方向盘转角之间的映射关系。通过所建立的径向基网络,由横摆角速度、侧向加速度响应来识别汽车的方向盘转角,结果表明了该方法的可行性,并且具有运算速度快,识别精度高以及抗干扰能力比较强的优点。

Snaking Test Based on Vehicle Handling Inverse Problems

We establish the model of a driver-vehicle 2DOF closed-loop system and then simulate the vehicle′s snaking test.We simulate the driving of the same vehicle by different drivers because their driving proficiency parameters are different.Using the radial basis function(RBF) neural network,we establish the closed-loop system′s mapping relationship among the vehicle′s yaw velocity,lateral acceleration and steering angle.We identify the steering angle through the response of yaw velocity and lateral acceleration.The identification simulation results show that the identification method is feasible and accurate,having high speed of calculation and better ability to resist interference.