最小二乘支持向量机在开关磁阻电机建模中的应用

Least Square Support Vector Machine in Switched Reluctance Motor Modeling

针对开关磁阻电机(Switched Reluctance Motors)电磁特性的非线性造成其精确数学模型难以建立的问题,在获取准确磁特性样本数据基础上,采用最小二乘支持向量机(LS-SVM)的方法对开关磁阻电机非线性建模。仿真结果表明,该模型能够较好的反应SRM的磁特性。

The precise mathematical model of Switched Reluctance Motor （SRM） is difficult to be established because of its nonlinear reluctance characteristic.In view of this problem,the SRM is modeled by least squares support vector machine （LS- SVM） method after measuring the accurate flux-linkage date.The simulated results show that the model represented can mirror the characteristics of SRM more correctly.