Broadband Modeling of Power Distribution Networks
Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/Gutachten › Beitrag in Konferenzband › Beigetragen › Begutachtung
Beitragende
Abstract
This paper proposes a modeling and simulation procedure of power distribution networks (PDN) based on polynomial fitting and bilinear transformation to generate datasets for data-driven control of DCDC converters. A measurement setup is proposed which enables the definition of PDN capturing its broadband and high dynamic range characteristics. In order to quantify the modeling error, a method for measuring the required signals and for efficient simulation is proposed. The modeling and simulation procedure is applied to a measured PDN and the modeling error is discussed.
Details
| Originalsprache | Englisch |
|---|---|
| Titel | 2024 SICE International Symposium on Control Systems, SICE ISCS 2024 |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers (IEEE) |
| Seiten | 14-18 |
| Seitenumfang | 5 |
| ISBN (elektronisch) | 9784907764814 |
| Publikationsstatus | Veröffentlicht - 2024 |
| Peer-Review-Status | Ja |
Konferenz
| Titel | 2024 SICE International Symposium on Control Systems |
|---|---|
| Kurztitel | SICE ISCS 2024 |
| Dauer | 18 - 20 März 2024 |
| Webseite | |
| Ort | Hiroshima University |
| Stadt | Higashi-Hiroshima |
| Land | Japan |
Schlagworte
ASJC Scopus Sachgebiete
Schlagwörter
- data-driven control, frequency-domain responses, power distribution network (PDN), rational interpolation