Journal article ยท Ahead of Print article
Carrier-Based Modulated Model Predictive Control Strategy for Three-Phase Two-level VSIs
Shanghai Jiao Tong University1
Delft University of Technology2
University of Nottingham3
Department of Electrical Engineering, Technical University of Denmark4
Center for Electric Power and Energy, Centers, Technical University of Denmark5
Smart Electric Components, Center for Electric Power and Energy, Centers, Technical University of Denmark6
The implementation of finite-control-set model predictive control (FCS-MPC) in voltage source inverters (VSIs) can make the system suffer from poor current harmonics performance, which may complicate the design of the required AC filter. To overcome this shortcoming, a carrier-based modulated model predictive control (CB-MMPC) strategy is proposed in this paper.
This method enables the utilization of existing PWM modulation techniques with FCS-MPC, where a modulation waveform with zero-sequence signal injection is generated and compared to a triangular carrier wave, while optimizing the selection of the switching states. As it is shown, the studied CB-MMPC strategy not only considerably improves the current total harmonic distortion (THD) but also attains the performance of fast current dynamic response and robustness as the traditional FCS-MPC.
Herein, the detailed implementation of the CB-MMPC control strategy is given, while considering its application to the current feedback control loop of a three-phase three-wire two-level VSI modulated at constant switching frequency. Finally, PLECS circuit simulation and a 3-kW VSI prototype are used to verify the superiority and the effectiveness of the presented CB-MMPC strategy.
This is also benchmarked to the FCS-MPC and dead-beat based controllers.
Language: | English |
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Publisher: | IEEE |
Year: | 2021 |
Pages: | 1673-1687 |
ISSN: | 15580059 and 08858969 |
Types: | Journal article and Ahead of Print article |
DOI: | 10.1109/TEC.2021.3073110 |
ORCIDs: | Dragicevic, Tomislav , 0000-0003-1980-9021 , 0000-0002-8361-9110 , 0000-0002-6424-566X , 0000-0002-3181-8134 and 0000-0002-1171-9972 |