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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.show moreshow less

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Metadaten
Document Type:Conference Proceeding
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):License LogoUrheberrechtlich geschützt