A new method to detect the initial rotor position of switched reluctance machine (SRM) is presented in this article. Unlike most conventional position estimation methods, the proposed method does not need any extra premeasurement and only the data with finite element method (FEM) are required. First, a linear regression model (LRM) is presented to describe the relationship between FEM and measured inductance characteristics. Then, to detect the position, the residual sum of squares of the proposed LRM is considered as an objective function, which is a convex function with rotor position. The rotor position can be estimated by minimizing the objective function with the golden-section search method. Finally, the accuracy of the proposed estimation algorithm is validated by the experimental results on a three-phase 12/8 pole SRM prototype. Compared with the existing position estimation methods, the proposed method has higher accuracy and less measurement effort. The proposed method can serve as a supplement to provide accurate initial position information for incremental position sensors.

中文翻译：

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基于优化的开关磁阻电机初始位置估计方法


本文提出了一种检测开关磁阻电机（SRM）转子初始位置的新方法。与大多数传统的位置估计方法不同，该方法不需要任何额外的预测，只需要有限元法（FEM）的数据。首先，提出线性回归模型（LRM）来描述 FEM 和测量的电感特性之间的关系。然后，为了检测位置，所提出的LRM的残差平方和被视为目标函数，它是具有转子位置的凸函数。转子位置可以通过黄金分割搜索方法最小化目标函数来估计。最后，通过三相12/8极SRM原型机的实验结果验证了所提出的估计算法的准确性。与现有的位置估计方法相比，该方法具有更高的精度和更少的测量工作量。所提出的方法可以作为增量位置传感器提供准确初始位置信息的补充。