Design of an adaptive estimator for the speed and load torque of the PMSM using an extended dynamic model

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The paper presents a method to estimate the rotor position, speed and load torque of the PMSM drive. Estimation is based on an extended dynamic model of the PMSM and is done using sequential observers. A first observer estimates the EMFs of the motor; these are used to compute the rotor position angle. The EMFs along with the angle are used as inputs to a second observer which estimates the speed and the load torque. The speed is obtained from an adaptive law. The paper presents the estimation mathematics and the gain design of the observers. It is shown that, under ideal conditions, the estimates of the speed and torque are accurate. Under parameter uncertainty or parameter variations, the adaptive speed estimate is still very accurate; the estimate of the load torque loses accuracy.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Industrial Technology, ICIT 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages276-281
Number of pages6
ISBN (Electronic)9781509053209
DOIs
Publication statusPublished - Apr 26 2017
Event2017 IEEE International Conference on Industrial Technology, ICIT 2017 - Toronto, Canada
Duration: Mar 23 2017Mar 25 2017

Publication series

NameProceedings of the IEEE International Conference on Industrial Technology

Other

Other2017 IEEE International Conference on Industrial Technology, ICIT 2017
CountryCanada
CityToronto
Period3/23/173/25/17

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Comanescu, M. (2017). Design of an adaptive estimator for the speed and load torque of the PMSM using an extended dynamic model. In 2017 IEEE International Conference on Industrial Technology, ICIT 2017 (pp. 276-281). [7913096] (Proceedings of the IEEE International Conference on Industrial Technology). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICIT.2017.7913096