Detail publikace

Dead-Time Compensation Strategies Based on Kalman Filter Algorithm for PMSM Drives

BUCHTA, L. BARTÍK, O.

Originální název

Dead-Time Compensation Strategies Based on Kalman Filter Algorithm for PMSM Drives

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

In this paper, two novel approaches to compensate VSI nonlinearities and dead-time effects are presented. The voltage disturbance observers are based on the Kalman filter algorithm. Their design is focused on suppressing the effect of the quantization noise and other speed measurement inaccuracies on the estimates of the disturbance voltage. In the one case, the rotor velocity is estimated by angle tracking observer and enters to the proposed observer instead of the measured speed. In the latter case, the observer is extended by another state. As a result, the observer is able to estimate the disturbance voltages and rotor velocity. The efficiency of the proposed approaches is verified by experiments on the

Klíčová slova

Dead-time compensation, Kalman filter, Permanent Magnet Synchronous Motor (PMSM), Voltage Source Inverter (VSI)

Autoři

BUCHTA, L.; BARTÍK, O.

Vydáno

14. 10. 2019

Nakladatel

IEEE

Místo

Lisabon, Portugalsko

ISBN

978-1-7281-4879-3

Kniha

IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society

ISSN

1553-572X

Periodikum

Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE

Stát

Portugalská republika

Strany od

986

Strany do

991

Strany počet

6

URL

https://ieeexplore.ieee.org/document/8926806

BibTex

@inproceedings{BUT158861,
  author="Luděk {Buchta} and Ondřej {Bartík}",
  title="Dead-Time Compensation Strategies Based on Kalman Filter Algorithm for PMSM Drives",
  booktitle="IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society",
  year="2019",
  journal="Industrial Electronics, 2009. IECON '09. 35th Annual Conference of IEEE",
  pages="986--991",
  publisher="IEEE",
  address="Lisabon, Portugalsko",
  doi="10.1109/IECON.2019.8926806",
  isbn="978-1-7281-4879-3",
  issn="1553-572X",
  url="https://ieeexplore.ieee.org/document/8926806"
}