Eunsil Lee, Kiwoo Park, and Kyo-Beum Lee, "Improving the Output Current of Matrix Converter under Abnormal Input Voltage Conditions using a Neural Network Compensator," The Transactions of the Korean Institute of Power Electronics, vol. 15, no. 3, pp. 199 > Paper

본문 바로가기

Paper

Domestic Journals Eunsil Lee, Kiwoo Park, and Kyo-Beum Lee, "Improving the Output Current of Matrix Converter under Abnormal Input Voltage Conditions using a Neural Network Compensator," The Transactions of the Korean Institute of Power Electronics, vol. 15, no. 3, pp. 199–206, Jun. 2010.

2010

본문

Matrix converter is an energy conversion device of controlled power semiconductor switches that directly connects the three-phase

source to the three-phase load. With no dc-link components for energy storage in the matrix converter the input current depends

directly upon the load currents and the switch state of the converter. Therefore the unbalanced and distorted input voltages can

result in unwanted output harmonic currents. This paper presents a current compensator based on neural network to improving

output current quality for matrix converter under abnormal input voltage conditions. The effectiveness and feasibility of the proposed

technique has been proven through numerical simulations and experimental tests. 

첨부파일

  • 20.pdf (1.6M) 9회 다운로드 | DATE : 2019-06-26 13:46:00
Total 949건 62 페이지
Paper 목록
번호 년도 논문명
34 2010 Domestic Journals
33 2010 Domestic Journals
32 2010 Domestic Journals
열람중 2010 Domestic Journals
30 2010 Domestic Journals
29 2009 Domestic Journals
28 2009 Domestic Journals
27 2009 Domestic Journals
26 2008 Domestic Journals
25 2008 Domestic Journals
24 2008 Domestic Journals
23 2000 International Conference
22 2000 International Conference
21 2007 Domestic Journals
20 2005 Domestic Journals
게시물 검색

회원로그인

접속자집계

오늘
602
어제
1,104
최대
3,510
전체
845,226

그누보드5