| 基于神经网络的四轮转向车辆辨识和控制 |
| |
| 引用本文： | 吕强,郭孔辉.基于神经网络的四轮转向车辆辨识和控制[J].装甲兵工程学院学报,1998(2). |
| |
| 作者姓名： | 吕强 郭孔辉 |
| |
| 作者单位： | 装甲兵工程学院电气自动化教研室!北京100072(吕强)，吉林工业大学汽车动态模拟国家重点实验室!长春130025(郭孔辉) |
| |
| 基金项目： | 博士后科学基金资助项目 |
| |
| 摘 要： | 车辆的动力学受各种非线性因素(如轮胎特性和路面状况)的影响,因此,利用两自由度线性车辆模型很难描述车辆的动力学.本文提出了一个新的基于神经网络非线性建校和控制能力的4WS控制系统.首先将车辆动力学辩识为一个RBF冈给车辆模型,然后利用该RBF网络车辆模型设计RBF网络控制器.通过计算机仿真说明了所提方法的有效性.
|
| 关 键 词： | 车辆动力学 四轮转向 神经网络 建模和控制 |
Identification and Control of Four-Whell-Steering Vehicles by Neural Network |
| |
| Lu Qiang Guo Konghui.Identification and Control of Four-Whell-Steering Vehicles by Neural Network[J].Journal of Armored Force Engineering Institute,1998(2). |
| |
| Authors: | Lu Qiang Guo Konghui |
| |
| Institution: | Lu Qiang Guo Konghui |
| |
| Abstract: | Vehicle dynamics is influenced by various nonlinear factors, for example, tire characteristics and road conditions. Hence, it is difficult to perfectly represent the vehicle dynamics by means of a two-degrees-of-freedom linear model. This paper presents a new 4WS control system with nonlinear modeling and control power of the neural network. First we identify the vehicle dynamics as a vehicle model of the RBF network. Next we design a RBF network controller with this vehicle model of the RBF network. The effectiveness of the proposed method is demonstrated with computer simulation. |
| |
| Keywords: | vehicle dynamics 4WS neural network modeling and control |
| 本文献已被 CNKI 等数据库收录！ |
