Journal
IEEE TRANSACTIONS ON POWER ELECTRONICS
Volume 28, Issue 7, Pages 3469-3478Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2012.2227825
Keywords
Control systems; current control; dc-ac power conversion; digital control; discrete-time signals; distributed generation; finite control set (FCS) model predictive control (MPC); four-leg converters; grid-connected; shunt active power filters
Categories
Funding
- Basal Project [FB0821]
- Universidad Tecnica Federico Santa Maria
- CONICYT Initiation into Research Project [2012 11121492]
- Natural Sciences and Engineering Research Council of Canada through Wind Energy Strategic Network
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This paper describes the experimental implementation of the model predictive current control algorithm for a two-level four-leg inverter operating under balanced, unbalanced, and nonlinear loading conditions. The proposed scheme is designed to predict the future behavior of the load currents for each of the 16 possible switching states of the converter. The control method chooses a switching state that minimizes the error between the output currents and their references. The algorithm is embedded using a MATLAB/Simulink software environment, and experimental results based on the dSPACE DS1103 controller are provided. These results verify the advantages of the proposed control strategy in terms of robustness under filter and load parameter variations, average neutral-leg switching frequency reduction, reference tracking error, and percentage total harmonic distortion.
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