Online Identification of Semiconductor Switching Times in Inverters with Inductive Load Using an FPGA and Potential Separated Comparators
- The nonlinear behavior of inverters is largely impacted by the interlocking and switching times. A method for online identifying the switching times of semiconductors in inverters is presented in the following work. By being able to identify these times, it is possible to compensate for the nonlinear behavior, reduce interlocking time, and use the information for diagnostic purposes. The method isThe nonlinear behavior of inverters is largely impacted by the interlocking and switching times. A method for online identifying the switching times of semiconductors in inverters is presented in the following work. By being able to identify these times, it is possible to compensate for the nonlinear behavior, reduce interlocking time, and use the information for diagnostic purposes. The method is first theoretically derived by examining different inverter switching cases and determining potential identification possibilities. It is then modified to consider the entire module for more robust identification. The methodology, including limitations and boundary conditions, is investigated and a comparison of two methods of measurement acquisition is provided. Subsequently the developed hardware is described and the implementation in an FPGA is carried out. Finally, the results are presented, discussed, and potential challenges are encountered.…
Document Type: | Conference Proceeding |
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Conference Type: | Konferenzartikel |
Zitierlink: | https://opus.hs-offenburg.de/7593 | Bibliografische Angaben |
Title (English): | Online Identification of Semiconductor Switching Times in Inverters with Inductive Load Using an FPGA and Potential Separated Comparators |
Conference: | 8th International Conference on Digital Arts, Media and Technology and 6th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (22nd to 25th March 2023 : Patong, Phuket, Thailand) |
Author: | Stefan HähnleinStaff MemberORCiD, Jan Philipp DegelStaff MemberORCiDGND, Christian KlöfferStaff MemberGND |
Year of Publication: | 2023 |
Publisher: | IEEE |
First Page: | 296 |
Last Page: | 301 |
Parent Title (English): | 2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON) |
ISBN: | 979-8-3503-9653-9 (USB) |
ISBN: | 979-8-3503-9654-6 (Elektronisch) |
ISBN: | 979-8-3503-9655-3 (Print on Demand) |
ISSN: | 2768-4644 (Elektronisch) |
ISSN: | 2768-4628 (Print on Demand) |
DOI: | https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139454 |
Language: | English | Inhaltliche Informationen |
Institutes: | Forschung / INES - Institut für nachhaltige Energiesysteme |
Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019) | |
Institutes: | Bibliografie |
Tag: | Boundary conditions; Inverters; Logic gates; Pulse width modulation; Semiconductor device measurement; Sensor phenomena and characterization; Switches | Formale Angaben |
Relevance: | Konferenzbeitrag: h5-Index < 30 |
Open Access: | Closed |
Licence (German): | Urheberrechtlich geschützt |