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首页> 外文期刊>Australian Journal of Electrical and Electronics Engineering >Modelling and identification of switched reluctance machine inductance
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Modelling and identification of switched reluctance machine inductance

机译：开关磁阻机电感的建模与识别

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摘要

Identification of phase self-inductance is a central step in control and development of Switched Reluctance Machine (SRM) model because the voltage and torque equation are functions of the phase self-inductance. The SRM operates primarily in the saturation region because the power factor is lower in the linear region, which makes the SRM modelling difficult to achieve. The strong nonlinearity of this machine must be taken into consideration by appropriate identification of the inductance parameters. This paper presents a new method for analytical modelling and identification of nonlinear inductance at standstill tests. We have shown that our electrical model of SRM can be described by Hammerstein model as a typical nonlinear model with a specific structure. The proposed method differs substantially from the existing used to identify the inductance of SRM. The results of this analytical approach are compared with those obtained using magnetostatic finite element method and experimental measurement. The comparison results show good accuracy of the identified model.
机译：相自感的识别是开关磁阻机（SRM）模型的控制和开发的央行步骤，因为电压和扭矩方程是相自感的功能。 SRM主要在饱和区域中运行，因为线性区域中的功率因数较低，这使得SRM模型难以实现。必须通过适当识别电感参数来考虑本机的强非线性。本文介绍了静止试验处的分析和识别非线性电感的新方法。我们已经表明，SRM的电气模型可以由Hammerstein模型描述为具有特定结构的典型非线性模型。所提出的方法基本上不同于现有用于识别SRM的电感。将该分析方法的结果与使用磁静静电有限元方法获得的结果进行比较和实验测量。比较结果显示了鉴定模型的良好准确性。

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