Master data

Title: On-Time Mismatch Based System Identification Technique for Buck Converters
Subtitle:
Abstract:

This work introduces a fast and low-complexity natural frequency estimation concept for power converters, enabling their adaptive control. Neither a high resolution analog to digital converter nor complex arithmetic operations, such as multiplications, are required by the proposed approach. Instead, the mismatch between the on-time of the control signal and the effective on-time at the switching node, occurring under light load conditions, is exploited. This mismatch is caused by the parasitic drain-source capacitance and the parasitic body diode oft he power MOSFETs. It is not necessary that the value of the parasitic capacitance is known nor is it required to stay constant, e.g., over temperature. Due to its simplicity, the proposed method is well suited for practical on-chip realizations. The introduced concept is experimentally verified on the example of a buck converter with different output filter sets. A digital controller is adaptively tuned based on the estimated natural frequency, resulting in an improved dynamic performance. For the presented converter, the magnitude of the output voltage transient in response to a load change was reduced by 30%.

Keywords:
Publication type: Article in journal (Authorship)
Publication date: 24.09.2019 (Print)
Published by: IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics
to publication
 ( IEEE; )
Title of the series: -
Volume number: -
Issue: -
First publication: Yes
Version: -
Page: pp. 1 - 1

Versionen

Keine Version vorhanden
Publication date:
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1109/TIE.2019.2939982
Homepage: -
Open access
  • Available online (open access)
Publication date: 24.09.2019
ISBN: -
ISSN: 0278-0046
Homepage: https://ieeexplore.ieee.org/document/8847633

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Intelligente Systemtechnologien
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Austria
   hubert.zangl@aau.at
http://www.uni-klu.ac.at/tewi/ict/sst/index.html
To organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
Research Cluster
  • Energy management and technology
Citation index
  • Science Citation Index (SCI)
Information about the citation index: Master Journal List
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: I)
Classification raster of the assigned organisational units:
working groups
  • Sensor- und Aktortechnik

Cooperations

Organisation Address
Infineon Technologies Austria AG
Siemensstraße 2
9500 Villach
Austria
Siemensstraße 2
AT - 9500  Villach
Johannes Kepler Universität Linz
Altenberger Straße 69
4040 Linz
Austria - Upper Austria
Altenberger Straße 69
AT - 4040  Linz

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