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| 三自由度四轮转向系统的神经网络模型研究 | |
| 引用本文： | 杨志刚,杨维新,孔薇. 三自由度四轮转向系统的神经网络模型研究[J]. 汽车科技, 2008, 0(6): 5-8 |
| 作者姓名： | 杨志刚 杨维新 孔薇 |
| 作者单位： | 重庆交通大学,机电学院,重庆,400074 |
| 基金项目： | 国家自然科学基金 |
| 摘 要： | 车辆四轮转向的数学模型随着自由度的增加其非线性迅速增加。对于多自由度车辆模型而言，准确而迅速地求解出目标变量的值是研究的难点。针对车辆的三自由度模型，建立了带反馈的神经网络模型，通过有导师训练改变网络的权值和阈值，在输入参数后可以准确而迅速地求解出目标值。仿真结果表明，该神经网络能够很好地逼近该三自由度数学模型。 |
| 关 键 词： | 三自由度 四轮转向 神经网络 |
Application of Neural Network to Three Degrees of Freedom Four-wheel Steering Vehicle |
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| YANG Zhi-gang,YANG Wei-xin,KONG Wei. Application of Neural Network to Three Degrees of Freedom Four-wheel Steering Vehicle[J]. Automobile Science and Technology, 2008, 0(6): 5-8 | |
| Authors: | YANG Zhi-gang YANG Wei-xin KONG Wei |
| Affiliation: | (The Machine-electrical College of Chongqing Jiaotong University, Chongqing 400074, China) |
| Abstract: | With the increasing of freedom-degree, the nonlinear of four-wheel steering model also increase sharply. As for the multi-freedom vehicle model, the most difficulty lies in getting the accurate variable goal quickly. Aimed at the three degrees of freedom vehicle model, a feedback neural network model is constructed in the research, and through the training of tutor it can change the network＇s power-value and threshold-value. After inputting parameters, it can output the goal value quickly and accurately. The result of simulation shows that it is very close to the three degrees of freedom vehicle model. |
| Keywords: | three degrees of freedom four-wheel steering neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |