Model Predictive Control of LC Filter‐Integrated Quasi‐Z‐Source Indirect Matrix Converter

Summary

In this chapter, a model predictive control (MPC) tailored for the combination of an LC filter and quasi‐Z‐source indirect matrix converter (QZS‐IMC) is introduced. By capturing data related to the three‐phase grid's voltage and current, the envelope of the rectifier stage's input voltage, and the load current, control variables for the imminent sampling phase could be anticipated. This data, juxtaposed with reference points, facilitates the computation of a predefined cost function across various switching states. The switching state, registering the minimal cost function, is then prioritized for execution across the power components of both the rectifier and inverter phases at the onset of the subsequent sampling interval. The fruits of simulation and tangible experiments underscore the adeptness of discussed MPC in streamlining the intricate processes typically associated with PI control in the QZS‐IMC framework.