DocumentCode :
2110949
Title :
Model based detection of rotor faults without rotor position sensor-the sensorless Vienna monitoring method
Author :
Kral, C. ; Pirker, F. ; Pascoli, G.
Author_Institution :
Arsenal Res., Vienna, Austria
fYear :
2003
fDate :
24-26 Aug. 2003
Firstpage :
253
Lastpage :
258
Abstract :
This contribution deals with an extended approach of the Vienna monitoring method (VMM), which is a model based technique to detect rotor asymmetries in the squirrel cage of an induction machine. The conventional VMM requires the measured voltages, currents and the signal of a rotor position sensor. The novel scheme presented in this paper alternatively works without a rotor position sensor. Especially for low inertia drives accurate estimation of rotor position is required. The rotor fault related double slip frequency torque modulation causes a speed ripple with the same frequency. Consequently, low inertia drives are exposed to higher speed ripples. In this case, it´s not sufficient to estimate the mean value of the actual speed, only. Even the speed ripple has to be acquired to benefit from the accuracy of the employed models of the VMM. The proposed technique evaluates the signatures of an inherent rotor fault in order to determine the rotor position signal. The speed ripple can be obtained from the torque modulations that the models already compute. This way, an accurate rotor fault detection technique without rotor position sensor can be realized.
Keywords :
fault location; monitoring; parameter estimation; rotors; slip (asynchronous machines); squirrel cage motors; torque; 10 kW; double slip frequency torque modulation; inherent rotor fault; low inertia drives; rotor asymmetries detection; rotor faults detection; rotor position estimation; sensorless Vienna monitoring method; speed ripples; squirrel cage; Condition monitoring; Current measurement; Fault detection; Frequency modulation; Induction machines; Position measurement; Power system harmonics; Rotors; Torque; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Diagnostics for Electric Machines, Power Electronics and Drives, 2003. SDEMPED 2003. 4th IEEE International Symposium on
Print_ISBN :
0-7803-7838-5
Type :
conf
DOI :
10.1109/DEMPED.2003.1234582
Filename :
1234582
Link To Document :
بازگشت