Title |
Stator Resistance Estimation of Permanent Magnet Synchronous Motor by using Kalman Filter |
Authors |
Sangjin Hwang ; Dongmyung Lee |
DOI |
https://doi.org/10.6113/TKPE/2018.24.2.92 |
Keywords |
PMSM(Permanent Magnet Synchronous Motor) ; Parameter estimation ; Stator resistance ; Kalman filter |
Abstract |
Accurate estimation of motor parameters is required in some motor control applications. For example, the value of stator resistance is required for stator flux-oriented control mostly used in doubly fed induction generator systems. Stator resistance is not a constant value and continuously changes due to the rise in temperature during motor operation. Estimation errors degrade the control performance. Hence, this study proposes a simple stator resistance estimation method. In this scheme, the differential components of voltage and current values are used to eliminate the dead-time effect, and Kalman filter algorithm is applied to reduce the error according to measurement noise. Simulation and experimental results obtained with a permanent magnet motor show the validity of the proposed algorithm. |