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http://dx.doi.org/10.6113/TKPE.2010.15.3.199

Improving the Output Current of Matrix Converter under Abnormal Input Voltage Conditions using a Neural Network Compensator  

Lee, Eun-Sil (아주대 전자공학부)
Park, Ki-Woo (아주대 전자공학부)
Lee, Kyo-Beum (아주대 전자공학부)
Publication Information
The Transactions of the Korean Institute of Power Electronics / v.15, no.3, 2010 , pp. 199-206 More about this Journal
Abstract
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.
Keywords
Matrix converter; Neural network; Current compensator; Abnormal input voltage; Compensation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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