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Fault Diagnosis Technology Research Of The Linear Synchronous Motor

Posted on:2015-01-28Degree:MasterType:Thesis
Country:ChinaCandidate:T C LiangFull Text:PDF
GTID:2252330428482622Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
In recent years, the magnetic suspension technology has become one of the hotspots. With the use of high-speed maglev train in our transportation system, the higher requirement for the operation security and reliability is put forward pressingly.The stator internal faults of the long-stator linear synchronous motor are very usual but destructive for the maglev train system. And which will cause serious consequences to safety running of the train and the passenger themselves. Therefore, it has great importance in engineering application to carry out the calculation and simulation for internal faults of the linear synchronous motor.Simulation is an important way of fault study, and its effect is related to the veracity of model parameters. The winding function is one of the most important methods to get the pa-rameters of inductance in the motor model.The winding inductance of linear synchronized motor can be calculated by winding function,According to that, the mathematical model of the motor is established under the condition of normal operation and several common mal-functions such as stator single-phase short circuit, the phase-phase short circuit and the single phase open circuit, which are further used to analyze waveforms of stator current, exciting current and electromagnetic forces for each above mentioned condition. Subsequently, the an-alytical results are compared to the finite element analysis of the machine. Finally it is shown that the results based on the two analytical methods are consistent demonstrating that the model of linear motor based on winding function is rational.At the same time, the fault characteristic vectors are acquired by decomposing LSM electromagnetic forces with wavelet package, which would be lastly utilized to the classifica-tion by BP neural networks, so as to realize linear motor winding fault diagnosis and identifi-cation. The study can not only provide theoretical basis for linear motor operation monitoring and system control, but also ensure the reliable operation of maglev train.
Keywords/Search Tags:linear synchronous motor(LSM), winding function, Electromagnetic force, internalfaults, wavelet packet decomposition
PDF Full Text Request
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