메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술대회자료
저자정보
Jingxin Hu (Nanjing University of Aeronautics and Astronautics) Shenghui Cui (Seoul National University) Yuying He (Hohai University)
저널정보
전력전자학회 ICPE(ISPE)논문집 ICPE 2023-ECCE Asia
발행연도
2023.5
수록면
1,898 - 1,905 (8page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
As a multiport version of the bidirectional isolated dual-active bridge converter, multi-active bridge (MAB) has promising applications in energy routers for dc microgrids and more electric aircraft. The power flow control can be primarily realized by applying phase shifts between AC voltages of different ports, whereas the duty cycles of the voltages are additional degree of freedom to optimize the power loss. However, in the transient conditions, the varied phase shifts and duty cycles result in transient dcbias in the transformer winding currents and the magnetizing flux linkage, which not only imposes significant current stress on the semiconductor devices but also may saturate the high-frequency transformer. To address this issue, this paper develops a generic model of the MAB converter using the superposition theorem, and proposes a universal dynamic phase-shift control for the MAB converter to suppress the transient dc-bias. The highlights of the proposed method are 1) applicability in different modulation schemes and various transient conditions, 2) extendability to arbitrary number of ports for the MAB, and 3) simplicity with a unified analytical solution that can be implemented in an open-loop control. The effectiveness of the proposed control method is validated by simulation results of triple-active bridge and penta-active bridge converters.

목차

Abstract
I. INTRODUCTION
II. GENERIC CIRCUIT MODEL OF THE MAB CONVERTER
III. UNIVERSAL DYNAMIC PHASE SHIFT CONTROL
IV. SIMULATION VALIDATION
V. CONCLUSIONS
REFERENCES

참고문헌 (0)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

최근 본 자료

전체보기

댓글(0)

0