Torque components due to space harmonics in induction motors

1922 ◽  
Vol 41 (12) ◽  
pp. 928-932 ◽  
Author(s):  
K. L. Hansen
Author(s):  
Darizon A. de Andrade ◽  
Marcos A. A. de Freitas ◽  
Luciano M. Neto ◽  
Hélder de Paula ◽  
José L. Domingos

The effects of magnetic saturation on the operation of induction motors driven by static converters are analyzed. A mathematical model based on magnetic harmonic functions is used to account for saturation. Distortions on the air gap flux due to non-linear magnetic characteristics lead to appearance of space harmonics in the resultant flux density distribution. This causes specific distortions in stator and rotor time quantities, which are different from those due to static converter. Operation with six pulse and sinusoidal PWM converters under saturated conditions is considered. Comparisons of experimental and simulated results are presented and found to be in very good agreement.


1985 ◽  
Vol 105 (4) ◽  
pp. 392-398
Author(s):  
Motoya Ito ◽  
Noboru Fujimoto ◽  
Hironori Okuda ◽  
Noriyoshi Takahashi ◽  
Kazunori Matsubara

Author(s):  
L. Di Leonardo ◽  
M. Popescu ◽  
M. Tursini ◽  
F. Parasiliti ◽  
M. Carbonieri

Energies ◽  
2019 ◽  
Vol 13 (1) ◽  
pp. 101 ◽  
Author(s):  
Jing Tang ◽  
Yongheng Yang ◽  
Jie Chen ◽  
Ruichang Qiu ◽  
Zhigang Liu

Inverter-fed induction motors (IMs) contain a serious of current harmonics, which become severer under stator and rotor faults. The resultant fault components in the currents affect the monitoring of the motor status. With this background, the fault components in the electromagnetic torque under stator faults considering harmonics are derived in this paper, and the fault components in current harmonics under rotor faults are analyzed. More importantly, the monitoring based on the fault characteristics (both in the torque and current) is proposed to provide reliable stator and rotor fault diagnosis. Specifically, the fault components induced by stator faults in the electromagnetic torque are discussed in this paper, and then, fault components are characterized in the torque spectrum to identify stator faults. To achieve so, a full-order flux observer is adopted to calculate the torque. On the other hand, under rotor faults, the sidebands caused by time and space harmonics in the current are analyzed and exploited to recognize rotor faults, being the motor current signature analysis (MCSA). Experimental tests are performed on an inverter-fed 2.2 kW/380 V/50 Hz IM, which verifies the analysis and the effectiveness of the proposed fault diagnosis methods of inverter-fed IMs.


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