Stator and Rotor Faults Monitoring of the Inverter-Fed Induction Motor Drive using State Estimators

被引：25
|
作者：
Kowalski, Czeslaw T. [1 ]
Wierzbicki, Robert [2 ]
Wolkiewicz, Marcin [1 ]
机构：
[1] Wroclaw Univ Technol, Inst Elect Machines Drives & Measurements, PL-50372 Wroclaw, Poland
[2] Whirpool, Wroclaw, Poland
来源：
AUTOMATIKA | 2013年 / 54卷 / 03期
关键词：
induction machines; diagnostics; fault detection; Kalman filter; Luenberger observer; MACHINES;
D O I：
10.7305/automatika.54-3.167
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper deals with the application of the Extended Kalman Filter and the Extended Luenberger Observer algorithms for the stator and rotor fault detection of the induction motor fed by PWM inverter. The induction motor conditions are analyzed using estimated rotor and stator-winding resistance. Mathematical models of the extended state estimators are presented, in which the stator and rotor resistances are added as additional electromagnetic state variables. Experimental results for the inverter-fed induction motor, with shorted stator-turns and broken rotor bars, are presented and analysed.
引用
收藏
页码：348 / 355
页数：8
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