FPGA-Based Experimental Investigation of a Quasi-Centralized Model Predictive Control for Back-to-Back Converters
作者： Zhenbin Zhang , Fengxiang Wang , Tongjing Sun , Jose Rodriguez , Ralph Kennel
DOI: 10.1109/TPEL.2015.2397695
关键词: Electronic engineering 、 Converters 、 PID controller 、 Robustness (computer science) 、 Direct model 、 Control theory 、 Engineering 、 Voltage 、 Model predictive control 、 Field-programmable gate array 、 Voltage source
摘要: Voltage source back-to-back power converters are widely used in grid-tied applications. This paper presents a quasi-centralized direct model predictive control (QC-DMPC) scheme for converter without dc-link outer-loop controller. Furthermore, the QC-DMPC is experimentally compared with conventional proportional-integration (PI) controller-based DMPC (PI-DMPC) scheme. For scheme, voltage directly controlled by grid-side controller using dynamic reference generation concept and load-side estimation. PI-DMPC an external PI Both schemes implemented on field programmable gate array (FPGA)-based platform. Effectiveness of proposed verified both simulation experimental data. Moreover, FPGA implementation issues (resource usage timing information), performance, robustness to parameter variation two detail. The results emphasize that may outperform normal operation but slightly higher resources. However, more robust when variations considered.
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