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http://dx.doi.org/10.6113/TKPE.2019.24.2.92

Stator Resistance Estimation of Permanent Magnet Synchronous Motor by using Kalman Filter  

Hwang, Sangjin (School of Electronic and Electrical Eng., Hongik Univ.)
Lee, Dongmyung (School of Electronic and Electrical Eng., Hongik Univ.)
Publication Information
The Transactions of the Korean Institute of Power Electronics / v.24, no.2, 2019 , pp. 92-98 More about this Journal
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.
Keywords
PMSM(Permanent Magnet Synchronous Motor); Parameter estimation; Stator resistance; Kalman filter;
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Times Cited By KSCI : 2  (Citation Analysis)
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