Broadband Modeling of Power Distribution Networks
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
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
| Original language | English |
|---|---|
| Title of host publication | 2024 SICE International Symposium on Control Systems, SICE ISCS 2024 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Pages | 14-18 |
| Number of pages | 5 |
| ISBN (electronic) | 9784907764814 |
| Publication status | Published - 2024 |
| Peer-reviewed | Yes |
Conference
| Title | 2024 SICE International Symposium on Control Systems |
|---|---|
| Abbreviated title | SICE ISCS 2024 |
| Duration | 18 - 20 March 2024 |
| Website | |
| Location | Hiroshima University |
| City | Higashi-Hiroshima |
| Country | Japan |
Keywords
ASJC Scopus subject areas
Keywords
- data-driven control, frequency-domain responses, power distribution network (PDN), rational interpolation