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Modeling of Switched Reluctance Motors Based on Radial Basis Function Neural Networks
Author(s): 
Pages: 7-11
Year: Issue:  4
Journal: TRANSACTIONS OF CHINA ELECTROTECHNICAL SOCIETY

Keyword:  开关磁阻电机径向基函数神经网络建模;
Abstract: 基于径向基函数神经网络的局部逼近理论,利用高斯基函数,在分析测量数据和开关磁阻电机非线性磁特性的基础上,建立了开关磁阻电机的模型.通过与样机实测数据比较,验证了模型的有效性.与传统的局部线性化方法及BP神经网络比较,本文所建模型有更好的泛化能力和更快的速度,比较准确地反映了开关磁阻电机的磁特性,这对于开关磁阻电机的实时在线控制具有重要意义.
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