Stator and Rotor Faults detection in Induction Motor (IM) using the Extended kaman Filter (EKF)

被引：0

作者：

Rayyam, Marouane ^{[1
]}

Zazi, Malika ^{[1
]}

Hajji, Youssef ^{[1
]}

Chtouki, Ihssane ^{[1
]}

机构：

[1] MOHAMMED V UNIV RABAT, ENSET, Dept Elect Engn, Rabat, Morocco

来源：

2016 INTERNATIONAL CONFERENCE ON ELECTRICAL AND INFORMATION TECHNOLOGIES (ICEIT) | 2016年

关键词：

Rotor faults; stator faults; broken bars; Estimation; Kalman; EKF; Induction Motor (IM);

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Accurate knowledge of stator and rotor resistance variations in an Induction Motor (IM) has received a lot of attention due to its significance in improving the performance of the Machine. The paper deals with the application of the Extended Kalman Filter (EKF) algorithm in the purpose of stator and rotor faults detection in IM. The hypothesis on which detection is based is that the apparent rotor (stator) resistance will increase when a rotor bar breaks (shorted stator-turns). Mathematical model of the extended state estimator is presented, in which, the stator and rotor resistances are added as additional electromagnetic state variables.

引用

页码：148 / 152

页数：5

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