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Induction Motor Stator Winding Short-circuit Identification Basing on Space Vector

Author: SunNing
Tutor: ChengXiaoHua
School: South China University of Technology
Course: Motor and electrical
Keywords: Space Vector Asynchronous Machine Stator Winding Short Circuit Identification Kalman Filter
CLC: TM343
Type: Master's thesis
Year: 2011
Downloads: 52
Quote: 0
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Abstract


Motor system is the online monitoring and fault diagnosis of electrical system running the foundation and basis. As electronic technology, computer technology, communication technology, network technology continues to develop and test the efficiency of the continuous improvement of the motor, the motor of various detection techniques are constantly updated, and the current detection method usually is to off-line testing, consumption And when the high cost, difficult to meet the development requirements of electrical detection system. To this end, research new motor line monitoring and fault diagnosis system is of great significance.The topics to the motor based on vector space model, analyze and verify the motor stator short-circuit model and sum up the failure of stator insulation factors. The defects of the stator insulation are the main causes of cessation of electrical machines. Concerning the isolation of the stator, by the analysis for the phase current using the Kalman filter, the truth has been verified that a diagnostic model of the asynchronous machine has the ability to identify short-circuits and to examine the tiny short-circuits currents, so as to use effective measures to avoid the happening of the accident.Signal Extraction in the short-circuit fault, through the Kalman filter design and parameter selection, we are able to accurately identify the phase current with short circuit current signal. Matlab programs by writing to obtain the simulation results show that the fault identification system has a good recognition.

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CLC: > Industrial Technology > Electrotechnical > Motor > AC motor > Induction motor
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