IPEC 2022 1st author

J. Yoo, J. -H. Lee and S. -K. Sul, “FEA-Assisted Experimental Parameter Identification of Induction Motor,” 2022 International Power Electronics Conference (IPEC-Himeji 2022- ECCE Asia), 2022, pp. 789-794, doi: 10.23919/IPEC-Himeji2022-ECCE53331.2022.9807077.
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This paper proposes an experimental parameter identification method for induction motor drives. To find the motor parameters at each operating point, the rank-deficiency problem is circumvented by the finite element analysis (FEA). The stator inductance look-up-table (LUT) is constructed assisted by FEA, and the leakage inductance and the rotor resistance are calculated based on the experimental tests. The proposed parameter identification can be used for a wide range field-oriented control in the traction motor. The proposed parameter identification is verified with the experimental tests.