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Simulation Tool for Optimization of Digital Active Gate Drive Sequence Using Genetic Algorithm
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| Author(s) |
Hajime TAKAYAMA |
| Abstract |
We demonstrate a simulation tool to optimize the operation of the digital active gate driver (DAGD) for SiC MOSFETs. The binary nature of DAGD's operating principle makes the genetic algorithm a preferable method. The optimization tool is developed by combining a Python-based program and SPICE simulation. Optimized solutions exhibit improved switching characteristics in wide operating conditions. The effect of conditions on obtained solutions is also analyzed. |
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| Filename: | 0019-epe2022-full-17285299.pdf |
| Filesize: | 653.2 KB |
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| Type |
Members Only |
| Date |
Last modified 2023-09-24 by System |
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