基于BP神经网络摆式列车倾摆控制系统的辨识

Identification of Tilting Control System of Titling Train Based on Neural Networks

针对摆式列车倾摆控制系统的特点 ,把人工神经网络的基本原理应用于摆式列车倾摆控制系统 ,在倾摆控制系统的神经辨识网络中应用BP算法对系统进行辨识 ,通过学习对系统进行建模。仿真结果表明 :所采用的辨识网络能够对倾摆控制系统的动态特性进行有效的辨识 ,可以解决倾摆控制系统中的非线性问题。

The primary principle of the neural networks is used to the titling system control of the titling train according to the feature of the titling system control of the titling train. The titling control system is identified by the neural network with BP algorithm and founds the control system model by training and learning. The simulating results show that the identification networks can effectively identify the dynamic features and solve the nonlinear problems of the titling control system.