TY - JOUR
T1 - General Formulation of Kalman-Filter-Based Online Parameter Identification Methods for VSI-Fed PMSM
AU - Li, Xinyue
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 1982-2012 IEEE.
PY - 2021/4
Y1 - 2021/4
N2 - This article proposes two Kalman-filter-based online identification schemes for permanent magnet synchronous machines (PMSMs), where the nonlinearity of a voltage-source inverter (VSI) is taken into account. One is formulated from an extended Kalman filter; the other uses a dual extended Kalman filter. They are generally formulated and can be applied to any identifiable electrical parameter combinations. The proposed schemes are further implemented on an industrial embedded control system. Their performance tests are conducted on a PMSM under static and dynamic conditions and compared with the extended Kalman filter without VSI nonlinearity compensation. The effectiveness of the proposed approaches is proved by the experimental results. Furthermore, a sensitivity analysis of the initial setup of parameter estimates has shown that the proposed estimators are robust against poor initial value choices. Real-time feasibility of the proposed estimators up to $\text{20}\;\text{kHz}$ is demonstrated via experiments.
AB - This article proposes two Kalman-filter-based online identification schemes for permanent magnet synchronous machines (PMSMs), where the nonlinearity of a voltage-source inverter (VSI) is taken into account. One is formulated from an extended Kalman filter; the other uses a dual extended Kalman filter. They are generally formulated and can be applied to any identifiable electrical parameter combinations. The proposed schemes are further implemented on an industrial embedded control system. Their performance tests are conducted on a PMSM under static and dynamic conditions and compared with the extended Kalman filter without VSI nonlinearity compensation. The effectiveness of the proposed approaches is proved by the experimental results. Furthermore, a sensitivity analysis of the initial setup of parameter estimates has shown that the proposed estimators are robust against poor initial value choices. Real-time feasibility of the proposed estimators up to $\text{20}\;\text{kHz}$ is demonstrated via experiments.
KW - Dual extended Kalman filter (DEKF)
KW - extended Kalman filter (EKF)
KW - parameter estimation
KW - permanent magnet synchronous machines (PMSMs)
UR - http://www.scopus.com/inward/record.url?scp=85097957544&partnerID=8YFLogxK
U2 - 10.1109/TIE.2020.2977568
DO - 10.1109/TIE.2020.2977568
M3 - Article
AN - SCOPUS:85097957544
SN - 0278-0046
VL - 68
SP - 2856
EP - 2864
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
IS - 4
M1 - 9027140
ER -