
In order to improve the quality of the power injected into a grid, this paper presents a model predictive control strategy for three-phase four-leg grid-tied inverters. For the convenience of optimization, the discrete-time model of the inverter in which duty ratios are modeled as continuous control variables is investigated. A current tracking error oriented cost function is employed as a criterion to optimize duty ratios of the inverters. In order to eliminate the effects of sampling delay, a model predictive control with delay compensation method (MPC-DC) is proposed. Because there is a large amount of calculations in implementing predictive control algorithm, a double-CPU, namely FPGA plus DSP controller, is employed to implement parallel calculation, so as to reduce the computation time. Simulation and experimental results demonstrate the effectiveness of the proposed method.
model predictive control (MPC), sampling delay, Three-phase four-leg inverter, FPGA plus DSP, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
model predictive control (MPC), sampling delay, Three-phase four-leg inverter, FPGA plus DSP, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
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