Online identification of semiconductor switching times in inverters with inductive load using field programmable gate arrays

The nonlinear behavior of inverters is mainly influenced by the interlocking and switching times of the semiconductors. In the following work, a method is presented that enables the possibility of an online identification of the switching times of the semiconductors. This information allows a compen...

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Bibliographic Details
Published in2021 23rd European Conference on Power Electronics and Applications (EPE'21 ECCE Europe) pp. P1 - P10
Main Authors Hahnlein, Stefan, Degel, Jan Philipp, Kloffer, Christian, Doppelbauer, Martin
Format Conference Proceeding
LanguageEnglish
Published EPE Association 06.09.2021
Subjects
Boundary conditions
Compensation
DC-AC converters
Device characterization
Diagnostics
Europe
Field Programmable Gate Array (FPGA)
Logic gates
Measurement
Power measurement
Pulse width modulation
Semiconductor Device
Semiconductor device measurement
Software for measurements
Switches
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Summary:The nonlinear behavior of inverters is mainly influenced by the interlocking and switching times of the semiconductors. In the following work, a method is presented that enables the possibility of an online identification of the switching times of the semiconductors. This information allows a compensation of the non-linear behavior, a reduction of the locking time and can be used for diagnostic purposes. First, a theoretical derivation of the method is made by considering different cases when switching of the inverter and deriving identification possibilities. The method is then extended so that the entire module is taken into account. Furthermore, a possible theoretical implementation is shown. After the methodology has been investigated with possible limitations, boundary conditions and with respect to real hardware, an implementation in the FPGA is performed. Finally, the results are presented, discussed and further improvements are presented in an outlook.
DOI:10.23919/EPE21ECCEEurope50061.2021.9570433