Publication: Low-Complexity State-Space Based System...
Master data
Title: | Low-Complexity State-Space Based System Identification and Controller Auto-Tuning Method for Multi-Phase DC-DC Converters |
Subtitle: | |
Abstract: | The importance of online system identification (SI) in power electronics is ever increasing. It enables the tracking of system parameters, which in turn can be used for online controller tuning. Hence, SI is a key element for improving a converter’s dynamic performance, stability and reliability. In this paper, a state-space based SI approach utilizing the step-adaptive least squares (SALS) estimation algorithm with observation matrix randomization is proposed. The presented concept yields an accurate state-space model of the converter while simultaneously achieving a fast convergence rate and low computational complexity. Consequently, the estimated state-space model is utilized to automatically tune a full state feedback (FSF) controller, resulting in an improved converter performance. The proposed concept is verified by a prototype system comprised of a two-phase buck converter and a field-programmable gate array (FPGA). The provided measurement results highlight the effectiveness and benefits of the presented method over state of the art z-domain estimation. It is shown that the number of required iterations is more than halved, while accuracy is improved. |
Keywords: |
Publication type: | Article in Proceedings (Authorship) |
Publication date: | 25.10.2018 (Online) |
Published by: |
International Power Electronics Conference IPEC - ECCE Asia
International Power Electronics Conference IPEC - ECCE Asia
(
IEEE;
)
to publication |
Title of the series: | - |
Volume number: | - |
First publication: | Yes |
Version: | - |
Page: | pp. 3140 - 3144 |
Versionen
Keine Version vorhanden |
Publication date: | 25.10.2018 |
ISBN (e-book): |
|
eISSN: | - |
DOI: | http://dx.doi.org/10.23919/IPEC.2018.8507985 |
Homepage: | https://ieeexplore.ieee.org/document/8507985 |
Open access |
|
Authors
Marc Kanzian (external) | ||||
Harald Gietler (internal) | ||||
Christoph Unterrieder (external) | ||||
Matteo Agostinelli (external) | ||||
Michael Lunglmayr
|
||||
Mario Huemer (external) |
Assignment
Organisation | Address | ||||
---|---|---|---|---|---|
Fakultät für Technische Wissenschaften
Institut für Intelligente Systemtechnologien
|
AT - 9020 Klagenfurt am Wörthersee |
Categorisation
Subject areas | |
Research Cluster | No research Research Cluster selected |
Peer reviewed |
|
Publication focus |
Classification raster of the assigned organisational units:
|
working groups |
|
Cooperations
Organisation | Address | ||
---|---|---|---|
Infineon Technologies Austria AG
|
AT - 9500 Villach |
||
Johannes Kepler Universität Linz
|
AT - 4040 Linz |
Research activities
Projects: | No related projects |
Publications: | No related publications |
Events: | No related events |
Lectures: | No related lectures |