The study on gain selecting method of position sensorless control algorithm for IPMSM

Dongwoo Lee, Kan Akatsu

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

5 Citations (Scopus)

Abstract

This paper presents a study of the stable gain selection of a position sensorless control based on back-electromotive force (back-EMF) estimation in an interior permanent magnet synchronous motor (IPMSM). The characteristic of the estimated back-EMF signals is analyzed using various mathematical models of the IPMSM. The sensorless control based on the extended EMF model in the rotor reference frame has back-EMF estimator such as a disturbance observer, and rotor position estimator such as a phase-lock-loop (PLL) type estimator. To ensure the stability of sensorless control, the selection methods of major factors for sensorless control algorithm are introduced. The feasibility of the proposed strategy is verified through simulation and experimental results.

Original languageEnglish
Title of host publication2017 IEEE 12th International Conference on Power Electronics and Drive Systems, PEDS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages728-733
Number of pages6
Volume2017-December
ISBN (Electronic)9781509023646
DOIs
Publication statusPublished - 2018 Feb 9
Event12th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2017 - Honolulu, United States
Duration: 2017 Dec 122017 Dec 15

Other

Other12th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2017
CountryUnited States
CityHonolulu
Period17/12/1217/12/15

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ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Lee, D., & Akatsu, K. (2018). The study on gain selecting method of position sensorless control algorithm for IPMSM. In 2017 IEEE 12th International Conference on Power Electronics and Drive Systems, PEDS 2017 (Vol. 2017-December, pp. 728-733). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/PEDS.2017.8289269