A novel FPGA implementation of a model predictive controller for SiC-based Quasi-Z-Source inverters

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.