基于神经网络的汽车—驾驶员—环境闭环系统的操纵稳定性

A Neural Network for Handling stability of Driver-Vehicle-Environment Closed-Loop System

以三自由度汽车模型为基础，采用人工神经网络的BP算法，建立了基于神经网络的汽车—驾驶员—环境闭环控制系统模型，研制了闭环控制系统仿真软件，对几种典型转向工况进行了模拟。为验证系统模型及仿真结果的正确性，进行了汽车操纵稳定性试验。结果表明，闭环系统模型合理，仿真结果准确。

A Neural Network for the handing stability of driver-vehicle-environment closed-loop system is established, based on a vehicle model with three degrees of freedom; the closed-loop system simulation software is developed to simulate some kinds ofsteering mode. In order to verify the software, running experiments are carried out,the results of comparing experiments with computer simulation show that the closedloop system model is reasonable and the computer simulation results are correct.