Feng Guo
3L-NPC AC-DC power converter using virtual space vector PWM with optimal switching sequence based on G-h coordinate
Guo, Feng; Yang, Tao; Bozhko, Serhiy; Wheeler, Pat
Authors
TAO YANG TAO.YANG@NOTTINGHAM.AC.UK
Professor of Aerospace Electricalsystems
Professor SERHIY BOZHKO serhiy.bozhko@nottingham.ac.uk
Professor of Aircraft Electric Power Systems
Professor PATRICK WHEELER pat.wheeler@nottingham.ac.uk
Professor of Power Electronic Systems
Citation
Guo, F., Yang, T., Bozhko, S., & Wheeler, P. (2018, November). 3L-NPC AC-DC power converter using virtual space vector PWM with optimal switching sequence based on G-h coordinate. Presented at 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)
Presentation Conference Type | Conference Paper (published) |
---|---|
Conference Name | 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC) |
Start Date | Nov 7, 2018 |
End Date | Nov 9, 2018 |
Acceptance Date | Jul 26, 2018 |
Publication Date | Nov 7, 2018 |
Deposit Date | Oct 26, 2018 |
Publicly Available Date | Oct 26, 2018 |
Book Title | 2018 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC) |
Chapter Number | NA |
ISBN | NA |
Public URL | https://nottingham-repository.worktribe.com/output/1193785 |
Contract Date | Oct 26, 2018 |
Files
3L-NPC AC-DC Power Converter Using Virtual Space Vector PWM With Optimal Switching Sequence Based On G-h Coordinate
(3.9 Mb)
PDF
You might also like
Inverse application of artificial intelligence for the control of power converters
(2022)
Journal Article
Mild hybridisation of turboprop engine with high-power-density integrated electric drives
(2022)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search