| 基于非线性神经网络的列车半主动悬挂系统 |
| |
| 引用本文： | 丁问司,卜继玲.基于非线性神经网络的列车半主动悬挂系统[J].华南理工大学学报(自然科学版),2005,33(12):75-77,91. |
| |
| 作者姓名： | 丁问司 卜继玲 |
| |
| 作者单位： | 华南理工大学,汽车工程学院,广东,广州,510640;西南交通大学,机车车辆研究所,四川,成都,610031 |
| |
| 基金项目： | 广东省自然科学基金博士科研启动基金资助项目（04300105）;华南理工大学自然科学基金资助项目（E5041010） |
| |
| 摘 要： | 为了在保证行车安全的前提下，提高列车的横向平稳性能，提出一种基于天棚原理的列车横向半主动悬挂系统，并建立了半主动悬挂非线性神经网络控制模型，设计了神经辨识器和控制器．仿真计算和实测结果显示：与不施加控制时相比，半主动悬挂系统采用神经网络控制时车体的横向加速度峰值明显下降，横向平稳性明显改善，横向平稳性指标（彤值）在仿真和实测状况下分别改善了9．04％和15．9％．
|
| 关 键 词： | 列车 半主动悬挂 减振器 非线性神经网络 |
| 文章编号： | 1000-565X（2005）12-0075-03 |
| 收稿时间： | 2005-01-14 |
| 修稿时间： | 2005-01-14 |
Semi-Active Suspension System of Train Based on Nonlinear Neural Networks |
| |
| Ding Wen-si,Bu Ji-ling.Semi-Active Suspension System of Train Based on Nonlinear Neural Networks[J].Journal of South China University of Technology(Natural Science Edition),2005,33(12):75-77,91. |
| |
| Authors: | Ding Wen-si Bu Ji-ling |
| |
| Institution: | 1 College of Automotive Engineering, South China Univ. of Tech. , Guangzhou 510640, Guangdong, China; 2. Vehicle Research Institute, Southwest Jiaotong Univ., Chengdu 610031, Sichuan, China |
| |
| Abstract: | In order to improve the lateral ride quality of train without endangering safety,this paper illustrates a lateral semi-active suspension system based on the skyhook rule.A controlling model of the proposed system is then put forward based on nonlinear neural networks,with a neural identifier and a controller being also designed.The simulated and tested results show that,compared with the status without any controlling step,the peak of lateral acceleration of the semiactive suspension system controlled by neural networks decreases obviously,and that the lateral ride quality of train is effectively improved,with the lateral ride item(the value of W) being improved by(9.04%) in the simulation and 15.9% in the actual testing. |
| |
| Keywords: | train semi-active suspension damper nonlinear neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
