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 -