Publication detail

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

BUCHTA, L. BARTÍK, O.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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

Keywords

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

Authors

BUCHTA, L.; BARTÍK, O.

Released

14. 10. 2019

Publisher

IEEE

Location

Lisabon, Portugalsko

ISBN

978-1-7281-4879-3

Book

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

ISBN

1553-572X

Periodical

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

State

Portuguese Republic

Pages from

986

Pages to

991

Pages count

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"
}