PUBLICATIONS
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.
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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.
