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The accurate model of switched reluctance motor (SRM) is critical for performance prediction. However, due to the doubly salient structure, the flux linkage of SRM is a non-linear function with phase current and rotor position, which makes the determination of the characteristic of SRM very difficult. In this study, indirect measurement method is used to obtain the sample data and least square support...
The least square support vector machine (LSSVM) is a powerful statistic learning technique used to solve various nonlinear problems and has gained attentions in modeling of SRMs. But the conventional SRM model based on LSSVM has two defects, one is the large error of the torque owing to the cascade of single-output LSSVMs, the other is the low generalization ability of the SRM model caused by the...
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