电机与控制应用Issue(6)：21-26,6.
基于回声状态网络的开关磁阻电机建模∗
Modeling of Switched Reluctance Motor Based on Echo State Network
摘要
Abstract
Focusing on the problems that the network structure is difficult to determining and the training process is too complex in the modeling process of switched reluctance motor using the traditional neural network, a motor modeling method based on echo state network was proposed. The echo state network simplified the network design and the training process using the reserve pond and the linear regression algorithm, enables the model to have the good convergence rate. Without any prior knowledge of the motor, inductance model would be established accurately to reflect the motor magnetic characteristics using training data. Under the premise to ensure good prediction accuracy, compared with BP and RBF neural network, the model had the advantages of simple calculation, fast convergence speed, and could be further applied to the real-time control of the motor.关键词
开关磁阻电机/电感模型/递归神经网络/回声状态网络/收敛速度Key words
switch reluctance motor( SRM)/inductance model/recurrent neural network/echo state network/convergence speed分类
信息技术与安全科学引用本文复制引用
司利云,王铁勇..基于回声状态网络的开关磁阻电机建模∗[J].电机与控制应用,2015,(6):21-26,6.基金项目
中央高校基本科研业务费专项资金项目(CHD2011JC131) （CHD2011JC131）
陕西省微特电机及驱动技术重点实验室开放基金项目(2013SSJ2003) （2013SSJ2003）
