Multi-Sampling Rate Finite Control Set Model Predictive Control and Adaptive Method of Single-Phase Inverter

With the development of power switches and processor performance in recent years, control frequency inverters has been significantly improved. However, limited by technology price, sensor sampling large-scale industrial applications is much lower than inverter that can be realized. This mismatch limits improvement inverter. In this article, current voltage at non-sampling time are reconstructed using prediction principle input observer theory, allowing a single-phase to implement multi-sampling rate with low high frequency. addition, an improved adaptive controller designed solve effect incorrect model parameters, which realizes when mismatched. Finally, effectiveness method verified through simulation experiments. The proposed problem high-speed switching for under low-sampling-frequency conditions, improving inverter’s robustness.