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   Neural Network Controller Based on Direct and Indirect Model Predictive for Modular Multilevel Converters   [View] 
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 Author(s)   Niloufar YOUSEFI, Javad EBRAHIMI, Alireza BAKHSHAI 
 Abstract   This study compares control methods for Modular Multilevel Converters (MMC) in power electronics, proposing the use of artificial neural networks as an alternative solution to conventional model predictive control (MPC) with reduced calculation burden. Simulation results of an MMC with four submodules are presented. 
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Filename:0545-epe2023-full-22095475.pdf
Filesize:1.068 MB
 Type   Members Only 
 Date   Last modified 2023-09-24 by System