A Real-Time Self-Learning High Performance Control for Megahertz GaN-based DC-DC Converter
ID:101 Submission ID:49 View Protection:ATTENDEE Updated Time:2021-07-21 20:06:10 Hits:437 Oral Presentation

Start Time:2021-08-27 16:00 (Asia/Shanghai)

Duration:15min

Session:[Room2] Oral Session 2 [S7&S8] WBG Power Converters & WBG Device Characteristic and Converter Modeling

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Abstract
With the rapid development of the wide bandgap power devices, the switching frequency of DC-DC converter is improved to megahertz (MHz) to meet the high power density and miniaturization requirements in fields like automotive and robotics. But it leads to the problem that the high-performance but complicated controls cannot be completed in such a short switching cycle. To solve it, this paper proposes a real-time self-learning control, which can be implemented at MHz switching frequency by FPGA and its dynamic control performance can be real-time enhanced. A 3 MHz GaN-based Buck prototype is built to verify the effectiveness of the proposed algorithm.
Keywords
GaN-based DC-DC Converter,High Performance Control,Megahertz control
Speaker
Jing Chen
Huazhong University of Science and Technology;the State Key Laboratory of Advanced Electromagnetic Engineering and Technology

Submission Author
Jing Chen Huazhong University of Science and Technology;the State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Yu Chen Huazhong University of Science and Technology;the State Key Laboratory of Advanced Electromagnetic Engineering and Technology
Yong Kang Huazhong University of Science and Technology;the State Key Laboratory of Advanced Electromagnetic Engineering and Technology
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