Finite-Control-Set Model-Predictive Control With Data-Driven Switching Frequency Control for Single-Phase Three-Level NPC Rectifiers

Abstract

A data-driven switching frequency control method based on finite-control-set model-predictive control (FCS-MPC) for single-phase three-level neutral-point-clamped rectifiers is proposed to achieve the accurate control of the switching frequency. Taking the switching weighting factor as input and the average switching frequency within a fixed sliding window time as output, a compact-form dynamic linearization method is used to establish an equivalent dynamic linearized data model at each dynamic operating point of the closed-loop system. Based on this data model, a data-driven controller is designed to control the switching frequency. Simulation and experimental results prove the correctness and superiority of the proposed FCS-MPC with the data-driven switching frequency control scheme.