A Novel FPGA Implementation of a Model Predictive Controller for SiC-Based Quasi-Z-Source Inverters
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abstract
This paper proposes a novel implementation of an FPGA-Based Model Predictive Control (MPC) for a SiC Quasi-Z-Source inverter. To speed-up computations, to satisfy the control requirements and to increase the switching frequency, an MPC algorithm is designed for parallel processing and is implemented on an FPGA. This is suitable for high-sampling/switching frequency operation that enables the use of MPC in fast systems as SiC-based converters. Proposed concepts are simulated by MATLAB Simulink and are experimentally validated using a three-phase SiC-based Quasi-Z-Source inverter. Both of simulation and experimental results show that the proposed FPGA-based controller attains a good performance at a very small calculation time, comparable to that consumed by conventional MPC sequential implementations. 2014 IEEE.
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2014 IEEE Applied Power Electronics Conference and Exposition - APEC 2014