Instantaneous input impedance method for PMSM parameter estimation

Johnny Rengifo, Fernando Vaca, Jose M. Aller

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


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.

Original languageEnglish
Title of host publicationProceedings - 2020 IEEE International Conference on Industrial Technology, ICIT 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728157542
ISBN (Print)9781728157542
StatePublished - Feb 2020
Event21st IEEE International Conference on Industrial Technology, ICIT 2020 - Buenos Aires, Argentina
Duration: 26 Feb 202028 Feb 2020

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology


Conference21st IEEE International Conference on Industrial Technology, ICIT 2020
CityBuenos Aires

Bibliographical note

Publisher Copyright:
© 2020 IEEE.


  • Nonlinear optimization
  • Parameter estimation
  • Permanent magnet synchronous machine
  • Transient measurement


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