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   Selective harmonic suppression for finite-control-set model predictive control   [View] 
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 Author(s)   Martinus DORFLING 
 Abstract   For finite-control-set model predictive control with long horizons, a method is proposed that allows targeted harmonics in the current spectrum to be suppressed. The method involves adding band-pass filters at target frequencies, which are then included in the state-space representation of the prediction model. The underlying optimization problem can be efficiently solved with sphere decoding, allowing the use of long horizons to improve the system performance. A case study with a grid-connected converter is presented and simulations are provided that demonstrate the efficacy of the proposed method. 
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Filename:0095-epe2019-full-14471603.pdf
Filesize:968.4 KB
 Type   Members Only 
 Date   Last modified 2020-08-14 by System