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Modeling and Simulation of Switched Reluctance Motor Based on RBFN-AFS
Author(s): 
Pages: 44-52
Year: Issue:  9
Journal: Transactions of China Electrotechnical Society

Abstract: 针对开关磁阻电机(SRM)电磁特性存在饱和非线性、多变量、强耦合的特点,提出了一种基于径向基函数网络的自适应模糊系统(RBFN-AFS)建立SRM模型并进行动态仿真的新方法.该方法在实测SRM磁链和转矩特性的基础上,采用递阶自组织学习(HSOL)算法对RBFN-AFS网络进行学习训练,使网络从样本数据中估计出未知的模糊规则,并在学习训练过程中不断更新和修正网络隐层节点参数矢量和连接权值,最终实现磁...
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