中南大学学报（自然科学版）2012，Vol.43Issue(1)：378-383,6.
机车二系弹簧载荷均匀性分配调整的混合建模方法
Hybrid modeling method for adjusting distribution of locomotive secondary spring loads
摘要
Abstract
A hybrid modeling method for adjusting the distribution of locomotive secondary spring loads was proposed based on the combination of mechanism modeling method and neural network. In this method, a mechanism model based on the rigid body assumption was established as the master-rule model for spring load adjustment by using mechanical and mathematical methods. An error compensation model was constituted by BP neural network to compensate for the error of the mechanism model. The hybrid model was the parallel connection of the two models above and its output was the summation of their outputs. The results show that the hybrid modeling method can make further improvement on the accuracy and efficiency of spring loads adjustment in solving the continuous multi-dimension space modeling problem. Compared with the mechanism model, the maximum deviation of secondary spring loads is reduced by 8%-15% and the average adjusting time is reduced by more than 25%.关键词
机车二系载荷/调整/混合建模/BP神经网络Key words
locomotive secondary spring load/ adjustment/ hybrid modeling method/ BP neural network分类
交通工程引用本文复制引用
韩锟,潘迪夫..机车二系弹簧载荷均匀性分配调整的混合建模方法[J].中南大学学报（自然科学版）,2012,43(1):378-383,6.基金项目
铁道部科技研究开发计划项目(Z2007-079) （Z2007-079）
