Abstract--
In the last two decades, permanent magnet synchronous machines (PMSMs) have attracted much interest and have been largely investigated for modern industries and special applications. Although the use of the permanent magnet for the magnetic field creation brings a number of merits, the low fault tolerance capability is an inherent weak point for the PMSMs. A few short-circuit turns lead to significant increase in the faulting winding current and excessive heat generation. This may further propagate and eventually cause a catastrophic failure. Based on the above reason, fault detection in PMSMs has become crucially important and necessary, especially for applications demanding high security and reliability. This forms the basic motivation of this research work.
In this thesis, the modelling of PMSM with inter-turn short-circuit faults is presented first. The developed PMSM model can represent the motor operation under normal and short-circuit fault conditions. A winding fault detection technique is addressed by applying the sequence component theory. To eliminate the influence of disturbances on fault detection, a fuzzy logic based approach is considered in this work. The simulation results have shown that the proposed fault detection approach is capable of diagnosing the faulting phase accurately and quickly under both load and speed fluctuations.
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