Publication result detail

Stator resistance identification of PMSM

VESELÝ, I.; POHL, L.

Original Title

Stator resistance identification of PMSM

English Title

Stator resistance identification of PMSM

Type

Paper in proceedings (conference paper)

Original Abstract

The paper describes an online identification of a stator resistance of a permanent magnet synchronous motor. The resistance is identified by two methods. The first one is a frequency analysis based on an injection of a harmonic signal to the control. This method utilizes knowledge of synchronous motor schema in d-q coordinates and it is based on a mutual signals correlation. The second one - Gauss-Newton method utilizes Hammerstein model. In this method a loss function is created from this model, where the motor is divided into a linear dynamics and static nonlinearity. Both algorithms were tested on a real motor through a real time platform D-space.

English abstract

The paper describes an online identification of a stator resistance of a permanent magnet synchronous motor. The resistance is identified by two methods. The first one is a frequency analysis based on an injection of a harmonic signal to the control. This method utilizes knowledge of synchronous motor schema in d-q coordinates and it is based on a mutual signals correlation. The second one - Gauss-Newton method utilizes Hammerstein model. In this method a loss function is created from this model, where the motor is divided into a linear dynamics and static nonlinearity. Both algorithms were tested on a real motor through a real time platform D-space.

Keywords

parameters identification; permanent magnet synchronous motor (PMSM), stator resistance, Hammerstein model, Gauss-Newton method, online method, frequency analysis, inject signal

Key words in English

parameters identification; permanent magnet synchronous motor (PMSM), stator resistance, Hammerstein model, Gauss-Newton method, online method, frequency analysis, inject signal

Authors

VESELÝ, I.; POHL, L.

RIV year

2017

Released

05.10.2016

Book

Proceedings of 14th IFAC INTERNATIONAL CONFERENCE on PROGRAMMABLE DEVICES and EMBEDDED SYSTEMS PDeS 2016 Preprint

ISBN

2405-8963

Periodical

IFAC-PapersOnLine

State

United Kingdom of Great Britain and Northern Ireland

Pages from

204

Pages to

209

Pages count

6

BibTex

@inproceedings{BUT128831,
  author="Ivo {Veselý} and Lukáš {Pohl}",
  title="Stator resistance identification of PMSM",
  booktitle="Proceedings of 14th IFAC INTERNATIONAL CONFERENCE on PROGRAMMABLE DEVICES and EMBEDDED
SYSTEMS PDeS 2016 Preprint",
  year="2016",
  journal="IFAC-PapersOnLine",
  pages="204--209",
  doi="10.1016/j.ifacol.2016.12.038",
  issn="2405-8971"
}