Sarpe, Julian (2024)
Adjoint Sensitivity Analysis Methods for Nonlinear Electric Circuits.
Technische Universität Darmstadt
doi: 10.26083/tuprints-00027594
Ph.D. Thesis, Primary publication, Publisher's Version
Text
Dissertation_Julian_Sarpe.pdf Copyright Information: CC BY-NC-SA 4.0 International - Creative Commons, Attribution NonCommercial, ShareAlike. Download (1MB) |
Item Type: | Ph.D. Thesis | ||||
---|---|---|---|---|---|
Type of entry: | Primary publication | ||||
Title: | Adjoint Sensitivity Analysis Methods for Nonlinear Electric Circuits | ||||
Language: | English | ||||
Referees: | De Gersem, Prof. Dr. Herbert ; Cortes Garcia, Prof. Dr. Idoia ; Hansen, Prof. Dr. Jan | ||||
Date: | 17 July 2024 | ||||
Place of Publication: | Darmstadt | ||||
Collation: | xiii, 134 Seiten | ||||
Date of oral examination: | 25 June 2024 | ||||
DOI: | 10.26083/tuprints-00027594 | ||||
Abstract: | This thesis introduces multiple new approaches to efficiently perform adjoint sensitivity analyses for large scale time periodic electric circuits. Firstly, transient forward harmonic adjoint sensitivity analysis combines an efficient transient simulation with a harmonic solution of the adjoint system. Secondly, Parareal adjoint sensitivity analysis sticks to transient simulation for both the forward and the adjoint problem but accelerates those with the Parareal algorithm. Thirdly, the periodic adjoint sensitivity analysis uses a periodic solver, such as periodic Parareal with periodic coarse solver, to efficiently calculate the periodic solution only and uses the solution in a modified adjoint integral. All proposed methods are applied to several application examples, including real world circuit applications with a large number of electrical devices. Most notably, these circuits include a DC-DC converter, a B6 bridge-motor supply circuit and an active filter. |
||||
Alternative Abstract: |
|
||||
Status: | Publisher's Version | ||||
URN: | urn:nbn:de:tuda-tuprints-275947 | ||||
Classification DDC: | 500 Science and mathematics > 510 Mathematics 600 Technology, medicine, applied sciences > 621.3 Electrical engineering, electronics |
||||
Divisions: | 18 Department of Electrical Engineering and Information Technology > Institute for Accelerator Science and Electromagnetic Fields > Electromagnetic Field Theory (until 31.12.2018 Computational Electromagnetics Laboratory) | ||||
Date Deposited: | 17 Jul 2024 12:10 | ||||
Last Modified: | 22 Jul 2024 08:15 | ||||
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/27594 | ||||
PPN: | 519991141 | ||||
Export: |
View Item |