TY - GEN
T1 - Modelling the flux-linkage in permanent magnet synchronous machines
AU - Ayala, Luis
AU - Schwinn, Albert
AU - Moule, David
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - Neglecting magnetic saturation and cross-coupling effects in permanent magnet synchronous machines (PMSM), reduces the accuracy of tasks such as online parameter estimation, machine control and machine performance predictions. Taylor's theorem for multi-variable functions is used to express the direct-axis and quadrature-axis flux-linkages as power series in the PMSM model presented in this paper. Therefore, the model can be extended to a n-degree polynomial, where n determines how accurately the saturation and cross-coupling effects are represented in the model. In addition, the identification of the model coefficients is formulated as an optimization problem that can be solved using quadratic programming. The proposed identification method is applied to data obtained from finite element simulations and measurements. Furthermore, for measured data, the method is extended to identify the machines winding resistance.
AB - Neglecting magnetic saturation and cross-coupling effects in permanent magnet synchronous machines (PMSM), reduces the accuracy of tasks such as online parameter estimation, machine control and machine performance predictions. Taylor's theorem for multi-variable functions is used to express the direct-axis and quadrature-axis flux-linkages as power series in the PMSM model presented in this paper. Therefore, the model can be extended to a n-degree polynomial, where n determines how accurately the saturation and cross-coupling effects are represented in the model. In addition, the identification of the model coefficients is formulated as an optimization problem that can be solved using quadratic programming. The proposed identification method is applied to data obtained from finite element simulations and measurements. Furthermore, for measured data, the method is extended to identify the machines winding resistance.
KW - PMSM model
KW - Parameter identification
UR - http://www.scopus.com/inward/record.url?scp=85070998232&partnerID=8YFLogxK
U2 - 10.1109/IEMDC.2019.8785247
DO - 10.1109/IEMDC.2019.8785247
M3 - Conference contribution
AN - SCOPUS:85070998232
T3 - 2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019
SP - 112
EP - 118
BT - 2019 IEEE International Electric Machines and Drives Conference, IEMDC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th IEEE International Electric Machines and Drives Conference, IEMDC 2019
Y2 - 12 May 2019 through 15 May 2019
ER -