학술논문
Parameter Identification For Inter Turn Fault Detection In Permanent-Magnet Synchronous Motors Using Stator Flux Linkage DC Offset Monitoring
Document Type
Conference
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Source
2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED) Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED), 2023 IEEE 14th International Symposium on. :498-504 Aug, 2023
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Abstract
The parameters of PMSM with inter-turn fault are identified using a time-stepping finite element method (FEM). Analytical expressions (AE) uses the estimated parameters for fault analysis similar to FEM analysis. The fault waveforms, terminal voltages, obtained from the AE models are used for inter turn fault (ITF) detection, using Stator Flux Linkage DC offset (SFDO). A comparison is made between the SFDOs obtained using AE with two sets of parameters and experimental results under different fault severity. The difference in parameter selection depends on the fault severity in induced voltage waveform and in all three phases, which makes AE-based fault modeling and its detection more accurate compared to the case where only the no load waveform is used for all three phases.