基于分段解析建模的开关磁阻电机在线转矩估算方法

针对目前开关磁阻电机采用单一解析模型进行在线转矩估算存在模型复杂、精度低的问题，提出一种基于分段解析建模的开关磁阻电机在线转矩估算方法。根据开关磁阻电机在一个电周期内磁链特性曲线的对称性及其定转子极弧的结构特点，提出将其半个电周期划分为5个区间，分别建立了每个区间的磁链与转矩简化解析模型，并通过有限元分析及构建基于DSP28335的实验系统分别对上述模型的估算精度与运算时间进行了验证，同时与传统单一解析模型进行了对比分析，结果表明，所提出的分段解析模型相较于传统单一解析模型，不仅有效提高了转矩估算精度，而且显著减少了运算时间，因而有助于提高开关磁阻电机调速系统的控制精度与动态性能，具有较好的应用价值。

Online torque estimation method for switched reluctance motor based on piecewise analytical modeling

Aiming at the problems of intricate model and low accuracy in online torque estimation of switched reluctance motor (SRM), a novel online torque estimation method based on piecewise analytical modelling is proposed. According to the symmetry of the flux linkage characteristics and the structural characteristics of the stator and rotor pole arc of the switched reluctance motor in one electrical cycle, a method of dividing the half electrical cycle into five intervals is proposed, and the flux linkage analytical model and torque analytical model of each interval are established respectively. The estimation accuracy and operation time of the above models are verified by finite element analysis and constructing an experimental system based on DSP28335. The results show that compared with the traditional single analytical model, the proposed partition analytical model not only effectively improves accuracy of torque estimation, but also significantly reduces the operation time, hence, it is helpful to improve the control accuracy and dynamic performance of switched reluctance motor speed control system, which has good application value.