基于迭代学习辨识的开关磁阻电动机转子位置估计  

Position Estimator of SRM Based on Iterative Learning Identification

作　　者：司利云[1] 林辉[1] 

机构地区：[1]西北工业大学

出　　处：《电气传动》2007年第11期10-13,共4页Electric Drive

摘　　要：将无位置传感器的开关磁阻电动机调速系统的位置估计归结为迭代学习辨识问题,根据开关磁阻电动机系统模型的特点,构造了PD型的非线性迭代学习辨识器,利用开关磁阻电动机启动过程所获得的相电压及相电流信息,对该时间段的速度及位置曲线进行完全辨识,所得结果证明了迭代学习辨识算法的有效性。The estimation of rotor position and speed of a switched reluctance motor （SRM） drive without position sensors might boil down to a question of iterative learning identification. Considering the characteristics of the system model of SRM, nonlinear iterative learning identification controllers using PD-type learning law was proposed. Using phase voltage and phase current measured during the starting course of the SRM, the glObal identification Of speed and rotor position curve within this course might be realized. The results prove the validity of the iterative learning identification method.

关 键 词：开关磁阻电动机 位置估计 迭代学习辨识 

分 类 号：TM921.5[电气工程—电力电子与电力传动]