Instantaneous input impedance method for PMSM parameter estimation

Johnny Rengifo, Fernando Vaca, Jose M. Aller

Producción científica: Capítulo del libro/informe/acta de congresoContribución de conferenciarevisión exhaustiva

2 Citas (Scopus)

Resumen

This paper presents a parameter estimation method for a permanent magnet synchronous machine (PMSM) based on the instantaneous input impedance, which is defined as a function of the instantaneous voltage and current space vectors fixed to the rotor reference frame. The parameters are calculated solving the nonlinear optimization problem to minimize the difference between the estimated and measured input voltages. This problem was solved using Interior-Points, and Genetic Algorithm (GA) to compare the computing time required in each case. The parameter estimation method was evaluated using data obtained from a co-simulation between ANSYS RMxprt-Simplorer® and MATLAB-SIMULINK® in a PMSM drive application using conventional Field Oriented Control (FOC) approach. The results prove the method capability to estimate the direct and quadrature self-inductances, and the magnet flux. Also, the stator a reasonable value of the stator resistance can be estimated. Finally, the paper presents an additional simulation of the PMSM using the estimated parameters, and the outcomes have a good correspondence with those obtained from the co-simulation.

Idioma originalInglés
Título de la publicación alojadaProceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas205-210
Número de páginas6
ISBN (versión digital)9781728157542
ISBN (versión impresa)9781728157542
DOI
EstadoPublicada - feb. 2020
Evento21st IEEE International Conference on Industrial Technology, ICIT 2020 - Buenos Aires, Argentina
Duración: 26 feb. 202028 feb. 2020

Serie de la publicación

NombreProceedings of the IEEE International Conference on Industrial Technology
Volumen2020-February

Conferencia

Conferencia21st IEEE International Conference on Industrial Technology, ICIT 2020
País/TerritorioArgentina
CiudadBuenos Aires
Período26/02/2028/02/20

Nota bibliográfica

Publisher Copyright:
© 2020 IEEE.

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