Pels, Andreas ; De Gersem, Herbert ; Sabariego, Ruth V. ; Schöps, Sebastian (2019)
Multirate PWM balance method for the efficient field-circuit coupled simulation of power converters.
In: Journal of Mathematics in Industry, 2019, 9 (8)
doi: 10.25534/tuprints-00009671
Article, Secondary publication
|
Text
Pels.pdf Copyright Information: CC BY 4.0 International - Creative Commons, Attribution. Download (1MB) | Preview |
Item Type: | Article |
---|---|
Type of entry: | Secondary publication |
Title: | Multirate PWM balance method for the efficient field-circuit coupled simulation of power converters |
Language: | English |
Date: | 11 December 2019 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2019 |
Publisher: | Springer Open |
Journal or Publication Title: | Journal of Mathematics in Industry |
Volume of the journal: | 9 |
Issue Number: | 8 |
DOI: | 10.25534/tuprints-00009671 |
Corresponding Links: | |
Abstract: | The field-circuit coupled simulation of switch-mode power converters with conventional time discretization is computationally expensive since very small time steps are needed to appropriately account for steep transients occurring inside the converter, not only for the degrees of freedom (DOFs) in the circuit, but also for the large number of DOFs in the field model part. An efficient simulation technique for converters with idealized switches is obtained using multirate partial differential equations, which allow for a natural separation into components of different time scales. This paper introduces a set of new PWM eigenfunctions which decouple the systems of equations and thus yield an efficient simulation of the field-circuit coupled problem. The resulting method is called the multirate PWM balance method. |
URN: | urn:nbn:de:tuda-tuprints-96719 |
Classification DDC: | 600 Technology, medicine, applied sciences > 600 Technology |
Divisions: | 18 Department of Electrical Engineering and Information Technology > Institute for Accelerator Science and Electromagnetic Fields > Computational Electromagnetics 18 Department of Electrical Engineering and Information Technology > Institute for Accelerator Science and Electromagnetic Fields Exzellenzinitiative > Graduate Schools > Graduate School of Computational Engineering (CE) |
Date Deposited: | 11 Dec 2019 08:35 |
Last Modified: | 11 Apr 2024 11:05 |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/9671 |
PPN: | |
Export: |
View Item |