A Real-Time Self-Learning High Performance Control for Megahertz GaN-based DC-DC Converter
编号:101 访问权限:仅限参会人 更新:2021-07-21 20:06:10 浏览:189次 口头报告

报告开始:2021年08月27日 16:00(Asia/Shanghai)

报告时间:15min

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

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摘要
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.
关键词
GaN-based DC-DC Converter,High Performance Control,Megahertz control
报告人
Jing Chen
Huazhong University of Science and Technology;the State Key Laboratory of Advanced Electromagnetic Engineering and Technology

稿件作者
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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重要日期
  • 会议日期

    08月25日

    2021

    08月27日

    2021

  • 04月21日 2021

    摘要截稿日期

  • 05月15日 2021

    摘要录用通知日期

  • 06月25日 2021

    终稿截稿日期

  • 08月24日 2021

    报告提交截止日期

  • 08月27日 2021

    注册截止日期

主办单位
IEEE
IEEE ELECTRONIC DEVICE SOCIETY
承办单位
Huazhong University of Science and Technology
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