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This document describes research into using an unscented Kalman filter (UKF) for parameter estimation and identification of a permanent magnet synchronous motor (PMSM). The UKF is used to simultaneously identify the rotor flux and quadrature axis inductance. Accurate parameter identification is important for sensorless control of the PMSM. Simulation results show that the UKF can converge quickly to the real parameter values with small errors and can follow changes in motor parameters, achieving high-precis

Author

lybsuper

Language

EN