A Dual Kalman Filter to Identify Parameters of a Permanent Magnet Synchronous Motor
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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2020 24th International Conference on System Theory, Control and Computing (ICSTCC) : October 8-10, 2020 Sinaia, Romania, Proceedings . ed. / Lucian-Florentin Bărbulescu. Piscataway: IEEE - Institute of Electrical and Electronics Engineers Inc., 2020. p. 619-623 9259686.
Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
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TY - CHAP
T1 - A Dual Kalman Filter to Identify Parameters of a Permanent Magnet Synchronous Motor
AU - Zwerger, Tanja
AU - Mercorelli, Paolo
N1 - Conference code: 24
PY - 2020/10/8
Y1 - 2020/10/8
N2 - The paper deals with a Dual Kalman Filter (DKF) to estimate parameters Ld and Lq, direct and quadrature induc-tances of a Permanent Magnet Synchronous Motor (PMSM). Using the model of the system, reference parameters are considered as a virtual measured system. In this way, the estimation of the parameters can be separated by the estimation of the states. The resulting Kalman Filter (KF) for the estimation of the parameters is a linear one characterized by the identity dynamical matrix. Simulation results show the effectiveness of the method.
AB - The paper deals with a Dual Kalman Filter (DKF) to estimate parameters Ld and Lq, direct and quadrature induc-tances of a Permanent Magnet Synchronous Motor (PMSM). Using the model of the system, reference parameters are considered as a virtual measured system. In this way, the estimation of the parameters can be separated by the estimation of the states. The resulting Kalman Filter (KF) for the estimation of the parameters is a linear one characterized by the identity dynamical matrix. Simulation results show the effectiveness of the method.
KW - Kalman filter
KW - parameter estimation
KW - PMSM
KW - simulations
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=85098009067&partnerID=8YFLogxK
U2 - 10.1109/ICSTCC50638.2020.9259686
DO - 10.1109/ICSTCC50638.2020.9259686
M3 - Article in conference proceedings
AN - SCOPUS:85098009067
SN - 978-1-7281-9810-1
SP - 619
EP - 623
BT - 2020 24th International Conference on System Theory, Control and Computing (ICSTCC)
A2 - Bărbulescu, Lucian-Florentin
PB - IEEE - Institute of Electrical and Electronics Engineers Inc.
CY - Piscataway
T2 - 24th International Conference on System Theory, Control and Computing - ICSTCC 2020
Y2 - 8 October 2020 through 10 October 2020
ER -